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Protectionism, Economic Monoculture, and the Real Lessons of the Rust Belt

Executive Summary

In 1950, Detroit and Pittsburgh were among the most prosperous industrial cities in the world. Detroit led the world in automotive production, and Pittsburgh’s steel output was in many respects unmatched. However, both faced similar forces in the 1970s: foreign competition, technological change, and rising labor costs driven by union lock-in. Both turned to government for protection. By 2013, the differences between the two cities were stark. Detroit had filed for the largest municipal bankruptcy in American history, while Pittsburgh had remade itself as a center for healthcare, education, and technology.

This paper argues that the divergence between these two was not due to geography, luck, or the arrival of foreign competition. Rather, Detroit — through a series of decisions at the state and local levels — created an industrial monoculture. Pittsburgh did not.

An industrial monoculture is an economy whose fiscal base, labor market, and political institutions become tightly coupled to a single industry. While this industry thrives, the broader economy appears strong. However, industrial monocultures carry structural fragility, as any shock to the dominant industry spreads through the entire local economy. Worse, there are few, if any, alternative sectors that can absorb displaced labor and capital. Detroit’s monoculture was not a natural outcome of free markets. It was constructed and sustained through a series of protectionist policies. Union contracts in the Treaty of Detroit (1950) shielded the industry from domestic labor market discipline. Michigan’s Public Act 198, passed in 1974, was used by the auto industry to reduce its property tax burden. The Poletown eminent domain seizure in 1981 resulted in the government buying $200 million worth of land only to sell it to General Motors for $8 million. The Michigan Economic Growth Authority tax credits, first passed in 1995, were later expanded to subsidize the Big Three automakers. At the federal level, the auto industry benefited from voluntary export restraints in the 1980s and an $80 billion bailout in 2009.

Each layer of protection reduced the competitive pressures that compel firms to adapt. As a result, adaptation largely stopped. By the time Japanese automakers arrived in the American South, Detroit’s industry had spent 25 years insulated from the discipline that would have kept its costs, productivity, and product competitive. Foreign competition did not cause Detroit’s collapse. It was a series of policy choices, each built on the last, that calcified Detroit’s auto industry around expensive labor contracts and products that were simultaneously more expensive and less reliable than those of its foreign counterparts.

Pittsburgh, by contrast, did not do this. It did not rewrite its eminent domain laws to save blast furnaces or create a credit program to subsidize steelworker wages into the 2030s. Instead, Pittsburgh’s economy retained universities, hospitals, and research institutions that predated and operated independently of the steel industry. When steel collapsed, capital and labor in and around Pittsburgh had alternative sectors to absorb them.

The lesson here is not that government can reliably create economic diversity. Markets do this far more efficiently and with fewer opportunities for rent-seeking. The lesson is that single-industry protection is one of the most dangerous forms of intervention a community can choose, precisely because it creates the very fragility that it claims to prevent. Today’s industrial policy, which includes tariffs, subsidies, mandates, and “Buy American” requirements, applies the same concentrating logic but at a national scale.

The difficulties many Rust Belt communities face today are real. They are not the result of foreign competition or free markets, but of past protectionism. The protectionism of the present, in turn, proposes many of the same tools that helped produce the problems these communities now confront.

Key Points:

  • The difference between Detroit and Pittsburgh is not explained by geography, luck, or foreign competition, but by economic structure. Detroit became an industrial monoculture, while Pittsburgh retained a more diverse economic base.
  • Industrial monocultures are highly productive in good times but structurally fragile. When an economy’s tax base, labor market, and political institutions are all tied to a single industry, any shock to that industry cascades through the entire local economy.
  • Detroit’s industrial monoculture was not the product of free markets. It was constructed, layer by layer, through a sequence of protectionist policies.
  • Pittsburgh avoided industry-specific protectionism. It did not rewrite eminent domain law or create targeted subsidies to preserve a declining industry.
  • Protectionism weakened Detroit by removing the competitive pressure that forces adaptation.
  • The Rust Belt’s challenges today are real. They are also the result of protectionism, not free markets or foreign competition.
  • Today’s industrial policy risks recreating the same dynamics that caused Detroit’s decline, but at a national scale.
  • The protectionism of the past created many of the very problems that present-day protectionists claim their policies will solve.

1. The Political Temptation of Protection

Imagine that you are a politician. One of the largest employers in your district employs tens of thousands of workers, generates millions of dollars in local tax revenues, and supports a dozen or more ancillary industries. Its workers are organized, politically active, and vocal. The solution seems obvious: implement policies designed to keep that industry afloat and the workers employed. Unlike the workers and firms that stand to benefit, these costs are spread across millions of people who are unorganized, politically disengaged on the issue, and often unaware of how much the policies affect their wallets.

Mancur Olson identified this dynamic in 1965 (Olson, 1965). Concentrated interests have powerful incentives to lobby for protection from competition. The costs of protection, however, are spread thinly across a much larger population that has little incentive to organize against it. The nearlyinevitable result is that policy bends toward the vocal and organized minority at the expense of the silent and unorganized majority. Over time, this tendency only bends further as the protected industry grows more entrenched and economically dependent on protection for survival.

This dynamic is especially powerful when an industry is concentrated in a single city. Here, the politics are especially fierce, and the long-run consequences are especially devastating. A protected industry does not just distort prices or misallocate resources from an economic efficiency standpoint. It shapes the city’s economy, institutions, and identity. Entrepreneurs build businesses that serve the protected industry because that is where opportunities are most promising. Capital flows toward the protected industry under the presumption that the protection will continue. The city stops diversifying, resulting in an industrial monoculture, where the local economy is so thoroughly organized around a single industry that workers have few alternatives should that industry eventually decline.

No industry dominates forever, however. Technological progress marches on, foreign competitors improve, and consumer preferences change. The question that matters for communities is whether they are prepared to absorb these pressures when they arrive — either by innovating to remain competitive or by pivoting to new opportunities. Protectionist policies attempt to postpone that reckoning by shielding industries from competitive pressures. In doing so, however, they often allow underlying problems to compound. When market reality finally arrives, it does not find a community ready to adjust. It finds one that has been falling behind decade after decade while becoming increasingly dependent on a single industry. What could have been an unpleasant but manageable process of industrial transition becomes a catastrophic collapse.

The economic histories of Detroit and Pittsburgh are instructive examples of the problems of industrial monocultures and what economic diversity prevents. Both rose to industrial dominance in the first half of the twentieth century. Both faced foreign competition and technological disruption beginning in the 1970s. Both had powerful unions that lobbied aggressively for protection from these pressures. Yet their trajectories ultimately diverged. One city has filed for the largest municipal bankruptcy in American history. The other became a widely-cited model of post-industrial revival.

The story of why one city failed while the other thrived is not one of geography, demographics, or luck. It is a tale of two different responses to industrial decline. Detroit organized its economic and political life around the automotive industry through an escalating suite of interventions and protections. These ranged from relatively modest measures, such as state tax credits for the Big Three to keep workers in Michigan, to extraordinary actions, including rewriting eminent domain law to seize an entire residential neighborhood to build a factory. Pittsburgh, by comparison, pursued no comparable strategy. It did not underwrite steelworker wages with state tax credits, rewrite their eminent domain laws to save a blast furnace, or bet the state treasury on successfully keeping one industry alive at all costs.

Detroit’s ongoing recovery proves the point from the other direction. As the city gradually allowed its economic base to diversify rather than embracing an automotive monoculture, it has begun growing again for the first time in generations.

Foreign competition and technological change posed genuine economic challenges, but they were not what turned Detroit’s decline into a catastrophe. That outcome was largely the result of policies that discouraged diversification and deepened the city’s dependence on a single industry.

2. Detroit: Building and Defending a Monoculture

According to the 1950 Census, Detroit was home to 1.85 million residents and 757,722 workers. The Big Three automakers — Ford, General Motors, and Chrysler (now Stellantis) — were booming. Of further benefit were the ancillary industries that had set up shop nearby. Steel mills, metal fabrication shops, tire manufacturers, not to mention the marketing, telecommunications, and construction companies, were all opening at breakneck pace. According to the 1950 Census, of the 757,722 people employed in Detroit, 210,747 (27.8 percent) worked directly for the automotive industry. Another 187,770 worked in related occupations, bringing the total to 398,517 workers, 52.5 percent of the city’s workforce.

In 1950, the United States produced 8.0 million vehicles, while global production totaled 10.6 million. Detroit alone produced 5.3 million vehicles — roughly half of the entire world’s automotive output. Each day, some 14,520 vehicles rolled off Detroit assembly lines and into driveways, garages, and business fleets around the world.

The economic concentration was unmistakable. Detroit earned its nickname, “The Motor City,” because its identity was inseparable from the automotive industry. Its economy, politics, and civic culture all revolved around automotive manufacturing. Detroit was, for all practical purposes, an industrial monoculture. When the industry thrived, Detroit thrived. And when it faltered, so too did the city.

2.1 Locking in the Structure

The United Auto Workers transformed Detroit’s economic concentration into political power. Founded in 1935 with 25,769 members (Fine, 1958), the union initially struggled to organize automobile plants. The passage of the National Labor Relations Act of 1935, combined with the 1937 Battle of the Overpass increased support for the UAW. By 1955, UAW membership exceeded 1.5 million. By 1970, approximately 95 percent of Detroit’s automotive workforce was unionized, compared to a national private-sector unionization rate of roughly 35 percent.

Where Detroit was once controlled by The Big Three, the Big Three were now squarely controlled by the UAW, giving the union significant control over the economic policies of one of America’s wealthiest cities.

In 1950, UAW President Walter Reuther (later profiled in death as “the most dangerous man in Detroit”) secured what became known as the Treaty of Detroit with General Motors through collective bargaining (Lichtenstein, 1995). Similar deals soon followed with Ford and Chrysler. The agreement guaranteed annual raises that were greater than any cost-of-living adjustments, pensions of up to $117 ($1,600 in today’s money) per month, and 50 percent coverage of any hospital and medical insurance costs for union members. It also mandated that all new hires at the automotive company became members of the UAW for the first year of their employment but could then quit the union if they so desired. Over the coming decades, more provisions were added to the Treaty of Detroit.

In 1955, the UAW negotiated the Supplemental Unemployment Benefits (SUB) with Ford Motor Company. Under the arrangement, Ford agreed to pay five cents for every man-hour worked into a dedicated account. Workers who were laid off — provided the layoff was not the result of misconduct — could then receive up to $25 per week (about $300 in 2025 dollars) per week from the fund in addition to state unemployment benefits. The program quickly became a model for other Detroit automakers by the early 1960s. Even in 1956, however, the problems with this plan were beginning to show, as labor costs were skyrocketing (Problems of the Ford Plan, 1956). These benefits were extended in 1967 to cover a longer time period and to offer even more money (Linder, 1968). Combined with state unemployment benefits, senior workers were able to take home up to 92 percent of their pay when laid off.

In 1970, the UAW negotiated a “30 and out” retirement plan, whereby any UAW member who had worked for 30 years at an automotive plant could retire and receive full benefits (Lichtenstein, 1995). Someone who had gone to work at 18 could, under this new plan, retire at 48 and receive a full pension. The pension would be divided into two parts: the basic benefit, which guarantees about $19,000 per year, and a supplemental benefit, which matches what a worker will receive from Social Security once they retire. By 2007, total hourly labor costs at the Big Three, which included wages paid to workers plus legacy pensions and healthcare obligations, were just under $73 per hour compared to $48 per hour at non-union Japanese factories in southern US states (Wyman, 2007).

All of this led to substantial increases in autoworker compensation relative to the national average. By 1970, autoworkers were paid upward of 40 percent more than manufacturing workers in non-automotive sectors. Detroit remained buoyed by the postwar boom and low gas prices, which sustained demand for bigger and faster cars (Rae, 1984). Unfortunately for Detroit, this period would not last.

These arrangements carried significant and direct financial costs on the Big Three. They also included detailed work rules governing how many employees were to be assigned to particular tasks. Seniority systems constrained the ability of management to redeploy labor in response to changing conditions. A firm facing intense competition cannot sustain a cost structure that renders it uncompetitive indefinitely; it must either adapt or exit the market.

2.2 Protection without Adaptation

By the time Japanese automakers arrived in American markets in the late 1970s, Detroit’s automotive sector had faced limited competitive pressure to adopt new production technologies for decades. Japanese manufacturers entered the market with several structural advantages over their Detroit based counterparts. Japan paid far less in labor per hour ($6.20 per hour compared to the Big Three’s $16.80 per hour). They were also further along in automating production processes. By 1980, Japanese auto plants could produce 22 cars per worker per year compared to about 15 for Detroit’s Big Three. Each vehicle required roughly 100 hours of labor in Japan versus about 150 in Detroit.

The differences were not limited to production efficiency. Japanese vehicles were generally less expensive, more fuel efficient, and more reliable, requiring fewer repairs over time (Lincicome, 2022; Crandall, 1987). These advantages were especially consequential in the American market, where consumers were facing rising fuel prices in the wake of the 1973 and 1978 oil shocks.

Federal policy played a significant role in shaping the competitive environment of the automotive industry. The Reagan administration, seeing the protectionist impulses of Congressional Democrats, negotiated the voluntary export restraints (VER) with Japan beginning in 1981 (Reagan, 1990). The VERs limited Japanese auto imports and provided Detroit with a reprieve at the federal level. The International Trade Commission estimated that 44,000 manufacturing jobs were preserved (US International Trade Commission, 1982).

Michigan had been layering state and local protections on top of federal trade policies for years. In 1974, the state enacted Public Act 198, the Plant Rehabilitation and Industrial Developments Act, which allowed local governments to grant manufacturers property tax abatements of up to 50 percent for as long as 12 years on new or rehabilitated facilities. This funneled more capital investments into the industry and away from alternative options.

In 1980, Michigan rewrote its eminent domain law through the Uniform Condemnation Procedures Act, opening the door for the use of eminent domain for commercial development projects. The following year, Detroit Mayor Coleman Young used the law to seize 465 acres in the Poletown neighborhood for a General Motors plant. The project displaced 4,200 residents and led to the demolition of 1,300 homes and 140 businesses. The city acquired the land for roughly $200 million and sold it to General Motors for $8 million, along with a 12-year property tax abatement estimated to be worth another $60 million. In return, GM promised to create 6,000 jobs. The plant opened in 1985, employed some 3,000 workers, and closed in 2019.

In 1995, Governor John Engler created the Michigan Economic Growth Authority (MEGA), a refundable tax-credit program designed to attract new jobs to the state. Over time, however, MEGA increasingly became a tool for retaining existing jobs that were threatening to leave. In 2009, Governor Granholm expanded the number of MEGA tax credits to help keep the Big Three anchored in Michigan. The program stopped issuing new credits in 2011, but by then Michigan had already authorized some $12 billion in MEGA credits, including about $4.5 billion promised to the Big Three in exchange for retaining roughly 86,000 jobs through 2032.

These federal and state policies did exactly what they were designed to do: remove competitive pressures. But industries insulated from competition have little reason to bear the costly adjustment process that adaptation and innovation require. As a result, the quality gap between American and Japanese vehicles widened through the 1980s (Crandall, 1987) and 1990s. Every new layer of protection reinforced Detroit’s industrial monoculture and narrowed economic alternatives.

2.3 The Collapse

These struggles eventually reached Detroit’s residents. By 1990, the city’s population had fallen to just over one million, while the number of people employed in the automotive sector stood at roughly 280,000 workers (US Census Bureau, 1990). In 1950, by comparison, Detroit was home to 1.85 million people and 338,000 autoworkers. The consequences were significant. Detroit’s tax base eroded along two dimensions. First, fewer residents meant fewer people living, working, and spending money in the city, reducing tax revenues. Second, declining property values sharply reduced property tax collections. This led to schools becoming underfunded, which exacerbated middle-class flight from Detroit, leaving behind a larger share of lowerincome households to support the city’s finances. Detroit’s debt burden consequently grew from relatively modest levels in 1990 to $18 billion in 2008, while its bond rating deteriorated, limiting access to capital markets (City of Detroit, 2013).

Although the financial crisis of 2007-2009 affected the entire nation, Detroit was hit especially hard. By 2008, the city had more than 67,000 foreclosed properties — the highest foreclosure rate in the nation — and median home values had fallen below $10,000 in many neighborhoods (City of Detroit, 2009). National unemployment stood at 7.3 percent in 2008. Detroit’s unemployment rate reached 22 percent. At the same time, the city’s poverty rate climbed to 35 percent.

The automotive sector also suffered during the financial crisis. In an effort to restore profitability, Detroit’s Big Three increasingly relied on high-margin vehicles such as SUVs and pickup trucks rather than smaller sedans. This strategy proved costly when fuel prices surged. Between 2000 and 2010, average gasoline prices more than doubled, undermining demand for the vehicles on which Detroit had become most dependent.

Figure 1: US Regular All Formulations Gas Price, 2000-01-01=100

Source: US Energy Information Administration via FRED®, Federal Reserve Bank of St. Louis. Shaded areas indicate US recessions.

From 2000 to 2008, domestic auto sales fell by 30 percent, declining further once the recession began.

Figure 2: Motor Vehicle Retail Sales: Domestic Autos, Jan 2000=100

Source: US Bureau of Economic Analysis via FRED®, Federal Reserve Bank of St. Louis. Shaded areas indicate US recessions.

The effects of these long-running trends became most visible in the aftermath of the financial crisis. In 2010, Detroit was a city whose infrastructure and footprint were designed for a population of 1.85 million, despite having only 713,000 residents (US Census Bureau, 2010). In some areas, 80 percent of the houses stood vacant. Houses could be purchased for as low as $100 provided, the buyer assumed the outstanding property taxes. That same year, thenMayor, Dave Bing announced that “his administration cannot afford to go on providing services such as schools, firefighters, buses and rubbish collection to large areas of the city where the population has dropped sharply,” (McGreal, 2010). He noted that “fewer people paying property taxes has left a $300m hole in the budget.” While no residents would be forced to move, those who did not move to the still-covered areas of Detroit were told they would “need to understand that they’re not going to get the kind of services they require.”

In 2013, Detroit filed for Chapter 9 bankruptcy, the largest municipal bankruptcy filing in US history. The extent of this was so severe that Detroit considered liquidating the art collection housed at the Detroit Institute of Art. This was ultimately averted when businesses, foundations, and the state of Michigan agreed to donate more than $800 million as a part of the city’s debt restructuring plan (Smith, 2013). By the end of 2014, Detroit had emerged from bankruptcy with $7 billion of its total $12 billion in unsecured debt either restructured or written off, along with about $1.7 billion set aside for improvements to city services (City of Detroit, 2013).

The bankruptcy marked the culmination of long-term structural decline. Sixty years of protectionist policies at the local, state, and federal levels had shielded the Big Three from competitive pressures to innovate, to control costs, and to adapt. The policy environment intended to stabilize the industry and protect it from foreign rivals had instead contributed to its longrun fragility, which eventually left Detroit more vulnerable to the collapse of a single-industry monoculture.

3. Pittsburgh: Economic Diversity

Pittsburgh in 1950 was the undisputed steel capital of the world. Allegheny County had a population of 1.5 million, with the city of Pittsburgh itself being home to 676,000 residents (US Census Bureau, 1950). Hundreds of thousands of jobs were supported by industry giants such as US Steel, Duquesne Steel Works, National Tube Works, and Allegheny Ludlum (Hoerr, 1988). US Steel alone employed over 300,000 workers and produced 35 million tons of steel annually. At its peak, a single Pittsburgh furnace could outproduce Great Britain in steel production, while the region’s industry as a whole exceeded the combined steel output of the Axis powers during World War II.

Like Detroit, Pittsburgh’s industry was shaped by powerful unions and government protection. The United Steelworkers of America (USW) represented roughly 650,000 workers by the early 1950s. In 1952, amid the Korean War, national demand for steel remained elevated for weaponry, vehicles, and infrastructure. The USW had been negotiating for months with steel companies over wages and working conditions, citing the increased demands placed on workers during the war. However, the executives at the steel mill pointed out that they could not afford to meet the demands of the union without raising steel prices, something the Truman Administration had explicitly forbidden in 1951 with price controls.

In response, the USW threatened a nationwide strike to begin on April 9, 1952 (Hoerr, 1988). President Truman responded with Executive Order 10340, which directed Secretary of Commerce Charles Sawyer to seize and operate the steel mills (Truman, 1952). The order was wide-reaching, covering 88 steel companies operating more than 500 plants nationwide and representing about 90 percent of the US steel production capacity. The seizure resulted in Youngstown Sheet & Tube Co. v. Sawyer, which the Supreme Court decided on June 2, 1952, in a 6-3 ruling against the administration, requiring the immediate return of steel mills to private ownership.

Amid the Youngstown legal battle, the planned strike went into effect. It lasted a total of 53 days. The economic consequences were staggering: steel production declined by about 21 million tons, while workers lost an estimated $400 million in wages, and defense production significantly slowed. The dispute ultimately concluded after the USW secured modest increases in wages and fringe benefits for workers.

Then, in 1959, there was another strike at steel plants nationwide. This time, steel executives sought a change in the union’s contract that would allow the company to change crew sizes, revise work rules, and implement new machinery in order to reduce the amount of labor used in the production of steel. The union opposed these changes, and on July 15, 1959, the 519,000 members of the USW went on a strike.

After 116 days, President Eisenhower invoked the back-to-work provisions found in Section 206 of the Taft-Hartley Act. This was upheld by the Supreme Court in an 8-1 decision in Steelworkers v. United States, and workers were ordered to return to work. Although the strike ended, productivity slowed in its aftermath, presumably due to the poor relationship between workers and management and low worker morale (United Steelworkers of America v. United States, 1959).

The same year, cracks in the steel industry began to show. For the first time, the US imported more steel than it exported (Hoerr, 1988). The rest of the world was beginning to catch up in terms of steel production. Because other countries were free to use new production techniques and technologies, foreign steel producers had acquired an edge over their US counterparts.

The 1960s saw rising foreign competition in the domestic steel industry, especially from Japan, which was undergoing rapid industrialization. According to a report from the US International Trade Commission, by 1967, “imports [of steel] had grown to the point that there was congressional interest in establishing quotas on imports of iron and steel products,” (US International Trade Commission, 1982). Seeing this, in 1968 “both West Germany and Japan proposed to place voluntary restrictions on their steel exports to the United States in order to forestall the imposition of quotas” (McClenahan, 1991). In 1969, the agreement was put in place, limiting imports from the two countries to 5.75 million net tons. Armed with newfound protection from foreign competition, the steel industry was poised to make a comeback.

Up to this point, the parallels between Detroit and Pittsburgh hold almost perfectly. Both were dominant in their respective industries on the national and world stages. Both had heavy concentrations of employment in their particular sector. Both had strong unions to contend with. And both had received substantial protection from the federal government in the form of voluntary export restraints and related trade measures. Yet the trajectories of the two cities would ultimately diverge.

3.1 The Difference That Mattered

There was, however, one crucial difference: Pittsburgh had an economic foundation that was not solely dependent on its dominant industry. The University of Pittsburgh and Carnegie Mellon University, for example, were mature institutions with national reputations. A network of hospitals existed, serving the community and employing thousands of people. These sectors were not part of the steel economy. They didn’t depend on steel revenues or sales. They were not organized around steel labor contracts, and they did not collapse alongside the steel industry.

This was not the result of a deliberate diversification strategy. Pittsburgh’s universities and hospitals were not a hedge against the decline of steel. Those institutions developed independently. While they may have benefited from subsidies, both at the federal and state levels, they nonetheless offered robust alternative destinations for capital, labor, and entrepreneurial activity.

Because Pittsburgh possessed economic assets beyond steel, lawmakers faced less pressure to preserve the industry at all costs. Pittsburgh did not layer state and local protections on top of federal protections in a bid to retain the steel industry. There was no MEGA-style tax credit program. There were no eminent domain seizures to give the steel industry additional land at taxpayer expense. In fact, quite the opposite: where Detroit used eminent domain to seize land from residents in Poletown in 1981, Pittsburgh went against the community’s desire to save the famed “Dorothy Six” blast furnace when it closed in 1984. Known around the world for its sheer size and productivity, the furnace had become a symbol of the city’s industrial strength. The city rejected several proposals to save the furnace, which was finally torn down in 1988.

With the increasing viability of these alternatives, the USW’s bargaining strength waned considerably over the 1980s. In 1983, after months of negotiations, the USW agreed to concessions (Serrin, 1983). Some of the specific concessions were a wage cut of $1.25 per hour, reduced vacation time, and limiting automatic cost of living adjustments only to years where inflation exceeded three percent.

In exchange for these concessions, the USW gained early retirement incentives, increased corporate funding for the Supplemental Unemployment Benefits program, and a “dignity and justice” provision whereby a worker had to be proven guilty of wrongdoing before they could be suspended or fired.

Armed with cost savings measures, the steel industry in Pittsburgh was poised to start making a comeback. Unfortunately, like the auto industry in Detroit, the steel industry in Pittsburgh failed to capitalize on this opportunity. Tornell (1997) describes this as “rational atrophy.” Briefly, management in the steel industry can allocate profits in three ways: reinvesting in steel operations, investing in other sectors, or distributing profits to shareholders. As Tornell notes, “the steel firm’s reaction to the excessive wage increases the unions pushed for was to reduce the share of profits they reinvested in steel.” In other words, rather than use the cost savings they had secured, management decided to let the steel industry atrophy instead of using that money to reinvigorate it, concluding that any investments in steel would ultimately fuel further labor disputes.

Tornell points to US Steel’s acquisition of Marathon Oil, Husky Oil, and Texas Oil and Gas in 1982, 1984, and 1985 as examples of this strategy. US Steel claimed that they did so because they were unable to secure financing to invest in steel. However, as Tornell notes, “this explanation is not fully convincing because US Steel used $1.4 billion of its own cash to buy Marathon Oil. In principle, it instead could have used this cash to invest in, for example, [new technologies like] continuous casting.”

This sent a clear message to the USW. While they had made many concessions to try to preserve jobs for their members, management had already begun shifting their focus and investments away from steel and toward new opportunities. When invited for subsequent rounds of negotiations, USW leaders largely declined. The result was a wave of steel plant closures throughout the 1980s. In early 1983, US Steel began shutting down its operations in Homestead and Rankin. Bethlehem Steel also announced that it would close its Lackawanna plant and reduce operations in Johnstown, eliminating 7,300 jobs. Later that year, US Steel announced the permanent shutdown of part or all of 28 plants and mines.

The contraction continued in 1984. The Duquesne Works facility, which housed the famed “Dorothy Six,” closed in 1984. Jones & Laughlin Aliquippa Works, once one of the largest steel mills in the entire world, also shut down. All told, between 1981 and 1986, over 150,000 steelworkers in the Pittsburgh area alone lost their jobs with an additional 95,000 manufacturing jobs in downstream industries vanishing (Hoerr 1988). Suburban towns, such as Homestead and McKeesport, both less than ten miles outside of Pittsburgh’s city center, saw their populations decline sharply. Unemployment in the region rose to 27 percent and only really came down when workers left Pittsburgh to find work elsewhere, with many settling in Birmingham, AL, then known as the “Pittsburgh of the South.”

While the steel industry never died off, it was clear that it was not going to return to its heyday of massive numbers of employment. The postwar boom the industry experienced, with the domestic car industry and the installation of railroads across the country, had ended and with it, the demand for new steel had seriously diminished. At the same time, minimills, which could recycle scrap steel and were not bound by union contracts, along with foreign producers, stepped in to serve much of the remaining market.

It was not until around 2000 that global demand for steel began to grow again, driven largely by the rise of China as an economic superpower. Unfortunately for Pittsburgh, China was able to fill most of their demand with Chinese-made steel.

3.2 Reluctant Diversification

Pittsburgh’s transition was neither clean nor market-driven in any simple sense. The latter half of the 1980s saw significant growth. In 1985, the University of Pittsburgh Cancer Institute was founded, which would eventually become part of UPMC’s Hillman Cancer Center. To support the expansion, the institutions drew on federal NIH money to build research capacity and attract top talent to the area. In 1986, UPMC began consolidating with other university-affiliated hospitals, laying the groundwork for a larger, integrated health care and research system.

At the same time, Carnegie Mellon University became one of the first six colleges to register a .edu domain on “the Internet.” With this, researchers at Carnegie Mellon were able to communicate not just internally, but externally with researchers at other schools such as Berkeley, Columbia, Purdue, Rice, and UCLA. Their ability for collaboration was leaps and bounds ahead of most peers and they were able to attract some of the top talent in the world to join their faculty, transforming CMU from, in the words of the Pittsburgh Post-Gazette, “a regional technical school into a national engineering powerhouse.” With this, their ability to attract research funding exploded from roughly $12 million per year in the 1970s to over $110 million by the late 1980s. Much of this money was used to build infrastructure and to attract talent, particularly in the field of robotics, with CMU launching the world’s first robotics PhD program in 1988.

The 1990s continued this trend, with the healthcare sector growing and expanding steadily year after year. In 1994, the UPMC formed the Tri-State Health System Network, extending its medical footprint into the surrounding states. Increased private and public investments in healthcare fueled economic growth. By the early 2000s, the healthcare sector had become Pittsburgh’s largest employer.

Figure 3: All Employees: Education and Health Services: Nursing and Residential Care Facilities in Pittsburgh, PA (MSA)

Sources: Federal Reserve Bank of St. Louis; US Bureau of Labor Statistics via FRED®. Shaded areas indicate US recessions.

Pittsburgh continued to innovate and attract more new businesses and industries. In 1999, Pennsylvania established Keystone Opportunity Zones, “defined-parcel-specific areas with greatly reduced or no tax burden for property owners, residents and businesses.” More broadly known as special economic zones, these areas provide powerful incentives for economic development and can help change local politics toward more market-friendly alternatives (Moberg, 2017). Importantly, these zones were not directed toward any industry in particular.

In 2006, Google opened a Pittsburgh office, putting Pittsburgh on the map as a tech center (Carter, 2016). In 2009, Duolingo, the language learning app, was founded as a part of Carnegie Mellon University’s Olympus incubator. In 2015, Uber and Carnegie Mellon University formed the Uber Strategic Partnership and Advanced Technologies Center. That same year, Facebook opened its Oculus VR office in Pittsburgh. The following year, Amazon opened a Pittsburgh office focused on machine translation, Alexa integrations, and Amazon Web Services.

While not a laissez-faire story, the critical difference between Detroit and Pittsburgh is one of diversification. Pittsburgh’s subsidies and government investments pointed in multiple directions at the same time. Healthcare, research and development, robotics, and business services operate in distinct markets, draw on different skills and, importantly, are largely insulated from one another. Healthcare demand does not depend on the investment cycles of the robotics sector, and vice versa. The portfolio of opportunity is the opposite of a monoculture.

4. Detroit’s Comeback

Fortunately, Detroit’s story has a final chapter. Even before the city filed for bankruptcy, the seeds of recovery were in the ground. In 2010, Rock Ventures, led by its CEO, Dan Gilbert, had begun investing in the city. Between 2010 and 2024, Gilbert’s company had invested $7.5 billion in real estate, which led to the creation of more than 17,000 new jobs and making Rock Ventures the city’s largest private employer. For the first time in Detroit’s history, an automaker was not the city’s top employer (Feloni & Lee, 2018).

In the process, Gilbert helped break the industrial monoculture that had defined Detroit for decades. The city was becoming a technology hub with companies like Detroit Labs and Newlab. Financial services followed, with companies such as Rocket Mortgage, Rocket Money, and Detroit Venture Partners expanding downtown. Today, all four of the Big Four accounting firms — Deloitte, EY, KPMG, PwC — maintain offices in downtown Detroit. Attracted by low property values and growing economic opportunity, other companies came as well, like StockX, which sells high-end consumer goods, and Fathead, maker of “officially licensed and custom wall decals.”

All of this spurred a resurgence in population; in 2023 Detroit experienced its first population growth since 1957 and has continued to grow (City of Detroit, 2024). The downtown population is younger (57 percent are between the ages of 25-34) and more educated (45 percent have a bachelor’s degree and 34 percent have a master’s or professional degree).

Detroit’s recovery did not come from saving its automotive monoculture. It came from allowing new industries to fill the space that six decades of concentrated automotive protections, subsidies, and political incentives had inculcated. The same city, geography, and infrastructure that produced economic hardship under the monoculture are producing genuine recovery today through diversification.

5. Implications for Today

The story of Detroit and Pittsburgh is, in part, a story of how different cities respond to the same political and economic pressures. Those same pressures are alive today.

There is an irony at the center of today’s industrial policy debate. The communities that advocates of protectionism and industrial policy want to help the most are struggling in large part because of protectionism and industrial policies of the past. The decline was not caused simply by “free markets” or “foreign competition.” It was shaped by decades of tariffs, quotas, export restraints, union contracts backed by political guarantees, tax abatements, and direct subsidies. Each of these insulated incumbent industries from the competitive pressures that would have forced adaptation and diversification. The result was not resilience, but dependence on a narrow industrial base.

A market-based approach points in the opposite direction. Prices, not politics, should guide capital and labor to where they are most productive. Allowing failing firms and industries to contract frees resources so they can be redeployed elsewhere. This process is disruptive and often painful for workers and communities in the short run. But as Mokyr (2016) argues, with the right institutional and cultural settings, the process of adaptation rather than calcification leads to greater growth and continued prosperity.

The current wave of industrial policy in 2025 and 2026 is animated by the same logic that guided earlier protectionists. Calls for “supply chain security” have been replaced by “national security” and “good jobs” has shifted toward “putting American workers first,” but the underlying mechanism is familiar. Concentrated industries with organized lobbying power capture diffuse costs borne by unorganized consumers and workers in other sectors. Over time, the protected industry stops adapting and the gap between what it produces and what the market wants widens. When protections either stop or prove insufficient, the reckoning is more severe than it would have been had adaptation occurred earlier.

Politically, the difficulties of a free-market approach are real. Markets allow industries to decline. These declines are visible, concentrated, and potentially devastating to specific places. Organized workers in a declining industry form exactly the concentrated interest group that Olson described. Even elected officials who understand that protection is economically harmful often support it because allowing large job losses is politically perilous.

This does not rescue industrial policy from its fundamental flaws. Governments cannot identify tomorrow’s winners in a reliable way. Subsidies create political dependencies that outlast their rationale and become a national security risk in and of themselves. Concentrated intervention leads to the same dynamics Olson warned about. The first-best answer of letting markets determine industrial structure, allowing prices to direct resources, and exposing firms to competition remains.

The lesson of Detroit and Pittsburgh is that single-industry protection is the most damaging form of intervention a community can choose. It undermines the diversity that would allow the community to survive the decline of a dominant industry.

6. The Real Costs of Protection: Stagnation, Fragility, and Dependence

Detroit and Pittsburgh rose together on the same postwar tide and saw their dominant industries decline for largely identifiable reasons. Detroit organized its economic and political life around a single industry and spent decades defending that concentration against the competitive pressures that might have forced adaptation. When that industry finally began to decline, the city had little else to fall back on. Pittsburgh, by contrast, maintained a more diverse economic base and survived the collapse of its dominant sector because it had other sources of growth.

Detroit’s bankruptcy was not a random act of fate. It was the predictable outcome of an industrial monoculture rooted in sixty years of concentrated economic and political investment in a single industry. The city’s recovery, which began only after the economic base diversified, underscores the dangers of industrial monoculture. Today, Detroit is rebuilding itself around technology, finance, and business services rather than automotive assembly, and is experiencing growth for the first time in generations.

Left to their own devices, markets tend to produce diversity. No single industry dominates indefinitely, and rational actors spread their bets rather than concentrating them. Detroit’s monoculture did not emerge from markets. It was constructed through politics. Union contracts that locked in labor rigidities, tariffs, and voluntary export restraints insulated incumbents from competition, and government subsidies favored existing industries rather than enabling new ones. Every act of protection deepened the monoculture and narrowed the viable alternatives within the community.

The first-best prescription remains the same: let markets work. Prices, not politics, are better suited to directing capital and labor toward their most productive uses. But the second-best prescription, that takes seriously the political realities that policymakers face, is equally clear: policymakers should avoid concentrating support on a single industry. Economic resilience comes from economic diversification.

References

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In late July 2026, attending physicians across the University of California’s six academic medical centers initiated a campaign to establish what organizers describe as potentially the largest union of employed physicians in the United States. Approximately 10,000 attending physicians constitute the prospective bargaining unit of the campaign by UC Doctors United, affiliated with SEIU Doctors United — a partnership involving the Service Employees International Union and related physician groups that already represent tens of thousands of doctors nationally.

The stated motivations are readily recognizable, especially to me as a practicing surgeon. Physicians face increasing patient volumes, chronic understaffing, erosion of clinical autonomy, burnout, and the perception that decisions governing care are increasingly concentrated in administrative rather than clinical hands.

But what does this mean for doctors and what does it mean for patients?

The Policy Architecture of Physician Employment

The transformation of American physicians from independent practitioners into hospital and corporate employees is the predictable consequence of specific legal and regulatory structures rather than a spontaneous market preference. Central among these are the long-standing constraints on physician payment under the Medicare Physician Fee Schedule. For decades, statutory formulas and budget-neutrality requirements have prevented physician fees from keeping pace with the rising costs of practice, while hospital outpatient departments continue to receive higher facility-based rates for identical services. This site-of-service differential creates a powerful incentive for hospitals to acquire physician practices, convert office-based services into hospital outpatient department services, and capture the higher reimbursement.

Compounding this payment asymmetry are the administrative and compliance mandates imposed by federal and private payers. Prior-authorization regimes, quality-reporting requirements, electronic health record certification standards, and the expanding web of Stark Law and Anti-Kickback Statute interpretations have raised the fixed costs of independent practice to levels that smaller groups struggle to sustain. AMA analyses of practices that sold to hospitals consistently rank the burden of managing these regulatory and administrative requirements among the leading reasons for relinquishing ownership. Large systems, by contrast, can amortize compliance infrastructure across hundreds of physicians, converting regulatory complexity into a competitive advantage for scale.

A further statutory barrier reinforces the trend: the Affordable Care Act’s prohibition on the expansion of physician-owned hospitals. By freezing government payment to these hospitals, Congress blocked one of the principal remaining pathways for physicians to capture the full economic value of their work through self-employment. Taken together, these payment rules, compliance mandates, and ownership restrictions have systematically tilted the institutional landscape against independent practice and toward hospital and corporate employment.

And once physicians become employees rather than owners or independent contractors, the institutional logic of collective bargaining becomes dangerously attractive. 

Medicine’s Transition From Profession to Trade

Medicine historically rested on a professional model in which physicians controlled the means of their work, bore residual responsibility for outcomes, and retained significant autonomy over clinical decision-making and the organization of practice. 

Over the past several decades, that model has eroded. The progressive shift into hospital and corporate employment — documented by successive AMA surveys showing private-practice ownership falling from 60 percent in 2012 to roughly 42 percent by 2024, and by PAI-Avalere data placing more than 80 percent of physicians under hospital or corporate employment by 2026 — has converted large numbers of physicians from residual claimants into salaried inputs. Clinical judgment is increasingly subordinated to institutional protocols, productivity metrics, and administrative directives. In this environment, the physician ceases to function primarily as an independent professional and begins to resemble a skilled employee whose labor is standardized, measured, and managed.

Once physicians are treated as budget line items rather than autonomous practitioners, the institutional logic of collective bargaining becomes available and, to many, attractive. Employment status places them on the same side of the management–labor divide as other hospital workers. Declining residual control over scheduling, staffing, and clinical process, combined with the sense that administrators rather than clinicians now set the terms of work, generates precisely the conditions under which industrial-style unionization gains traction. The recent organizing campaigns among attending physicians at large academic systems illustrate the endpoint of this trajectory: when residual rights have already been transferred to the employing institution, physicians turn to collective contracts as a second-best mechanism for reclaiming voice and protecting conditions of practice.

This is the natural downstream consequence of the employment model of medicine.

The Historic Arc of Unions

Two fundamental difficulties remain. First, industrial-style unions are poorly adapted to a workforce as heterogeneous as medicine, where training intensity, case complexity, liability exposure, and productivity vary dramatically across specialties. Second, collective contracts optimized for the median member systematically compress differentials and constrain flexibility, undermining the very high-skill practitioners whose specialized labor generates the greatest clinical and economic value.

Labor unions in the United States progressed from craft organizations that protected skilled artisans into industrial unions that organized entire workplaces by employer rather than by skill. Craft unions historically sought to restrict entry, preserve differentials grounded in skill and productivity, and retain control over work methods. Industrial unions prioritized membership density, standardized wages and rules across heterogeneous workers, and seniority-based protections.

Over time, the industrial model proved more scalable in mass-production settings. It also systematically compressed skill-based differentials, imposed uniform work rules that constrained flexibility, and shifted bargaining power toward the median member rather than the highest-productivity members. In professional settings — teaching, certain civil-service roles, and segments of entertainment and transportation — the same pattern has manifested: initial gains in compensation and voice, followed by rigidities that impede differentiation by performance and elevate the costs of exit or innovation for high performers.

Public-sector and professional unions further alter incentive structures because the “management” side is frequently constrained by political processes rather than pure market competition. The result can be durable wage and staffing floors coupled with limited capacity to reward exceptional output or to reallocate resources with agility.

Compressing Differentials in Medicine: The Cost of Optimizing for the Median Member

These dynamics will not affect all physicians equally. Primary care and certain hospital-based specialties already operate closer to standardized production models, characterized by more predictable schedules, lower variance in case complexity, and less extreme compensation distributions. Neurosurgeons and other procedural specialists confront a distinct economic reality. Training is longer, capital and liability intensity are higher, case complexity and outcomes variance are greater. Average compensation reflects scarcity and risk.

Collective contracts that emphasize uniform percentage increases, seniority, or standardized work rules systematically compress those differentials. They also tend to introduce formalized procedures governing scheduling, productivity metrics, and dispute resolution that diminish the individual physician’s capacity to negotiate over case mix, operating-room access, or compensation linked to outcomes and volume. In an academic medical center setting, the same contract that improves staffing ratios for primary care clinics may simultaneously constrain the operational flexibility that complex surgical services require.

Over the longer term, high-skill specialists confront a structural dilemma. Employment has already attenuated their residual claim on the surplus they generate. Unionization further subordinates individual bargaining power to collective rules optimized for the median member. The anticipated result is flatter compensation structures, slower adaptation to technological or organizational change, and diminished incentives for the marginal high-productivity physician to remain in high-volume academic or employed settings. Talent may migrate toward remaining independent practices, ambulatory surgery centers in which ownership stakes remain feasible, or non-clinical roles — precisely the opposite of the workforce stability that union advocates seek.

Economic Consequences

From an economic perspective, the conversion of physicians into a unionized industrial workforce elevates the effective cost of skilled medical labor without a corresponding increase in measured productivity. Rigid work rules and seniority provisions raise the cost of adjusting staffing to fluctuating demand. Compressed differentials reduce the return to additional training and risk-bearing. Large systems respond by further standardizing processes and shifting residual decision rights to non-physician administrators.

Patients will ultimately confront higher system costs and diminished access to the highest-skill services.

Preserving Residual Rights: Alternatives to Industrial Unionization

None of this implies that employed physicians lack legitimate grievances concerning workload, staffing, or administrative interference. Those problems are genuine and stem in significant measure from the same regulatory and payment distortions that precipitated consolidation. Collective bargaining addresses symptoms while locking in the employment model that produced them. It does not restore ownership, residual claims, or clinical autonomy. It industrializes them.

The historical record of professional and craft labor organizations suggests a predictable sequence: short-term gains in voice and compensation floors, followed by long-term compression of skill premiums, reduced flexibility, elevated barriers to entry and exit for the most productive practitioners, and, in some cases, the emergence of internal corruption within large union structures. For neurosurgeons and similarly situated specialists, the costs of that sequence are likely to exceed the benefits without significant intentional insight and planning.

Medicine is being transformed into a trade. The question is whether the highest-skill practitioners will accept the terms of that trade or instead pursue institutional arrangements that preserve residual ownership, clinical autonomy, and differentiated rewards. For neurosurgeons and similarly situated specialists, viable alternatives include expanding physician-owned ambulatory surgery centers, restoring pathways to independent and group practice ownership, and advocating for the removal of regulatory barriers — such as the ban on physician-owned hospitals — that currently channel physicians into employee status. These structures allow high-skill practitioners to retain residual claims on the value they create and to negotiate individually or through specialty-specific associations rather than subordinating themselves to industrial-style collective contracts optimized for the median member.

With government debt over 200 percent of Gross Domestic Product (GDP), Japan forged a path that other Western governments, like the United States, have followed. Now, as Japan’s macroeconomic problems become acute, it is no longer just a cautionary tale for Americans, but part of our developing debt crisis, too.  

Bust, Deficits, and Debt 

In 1990, Japan’s stock market collapsed and its economy tanked. The Bank of Japan pioneered “Quantitative easing,” flooding the financial system with liquidity, but this failed to stimulate lending, borrowing, and GDP growth. With monetary policy seemingly impotent, the government turned to fiscal policy and began running budget deficits. Economists YiLi Chien and Ashley H. Stewart write that “Japan’s general government (which comprises the central and local governments) has consistently run a significant primary fiscal deficit, averaging 5.1 percent of GDP since 1998.”  

These deficits were greater than the rate of economic growth, so government debt grew as a share of GDP. Between 1997 and its peak in 2022, Japan’s government debt grew from 63.7 percent of GDP to 214.8 percent, comfortably the biggest increase among the G7 countries and nearly 60 percent greater than second-placed Italy.   

Debt Crisis 

Japan could afford these deficits and this debt when interest rates were low. In July 1997, the rate on the Japanese government’s 10-year bonds fell below 2.5 percent and stayed there; the biggest deficits and debt in the G7 were accompanied by some of the lowest borrowing costs.    

But in late 2021, yields on Japanese government debt began to rise. Not as steeply as elsewhere in the G7, but, in April, the rate on the Japanese government’s 10-year government bonds rose above 2.5 percent for the first time in 29 years. The era of cheap finance is over.     

These might not seem like big numbers, but they are when servicing a debt the size of Japan’s. In February, the Finance Ministry forecast that interest payments would rise from the current year’s budgeted ¥10.5 trillion to ¥21.6 trillion ($139 billion) in the year starting April 2029. Overall debt-servicing costs are projected to rise by about 46 percent during the same period and would account for about 30 percent of total projected spending in fiscal 2029, more than will be spent on social security. Japan’s debt will devour its budget.  

Bond Markets

Bond yields are rising because bond prices are falling.  

When a government borrows money, its treasury essentially prints a piece of paper — the bond — promising to pay the holder, say, ¥1 million in 10 years. The treasury sells this piece of paper for cash, but generally not for ¥1 million. Why not? Consider the question from the buyer’s perspective. You have ¥1 million, and the treasury is offering to take that and return it to you in 10 years: Where is the benefit to you? To incentivize the buyer to part with their cash, the treasury sells the bond for, say, ¥900,000. Now, the buyer hands over ¥900,000 and gets ¥1 million back 10 years from now. The yield, or interest rate, is ¥100,000 — or 1.1 percent annually. It follows that when the bond’s price goes up, the yield goes down, and vice versa.  

Like any other price, bond prices are driven by supply and demand. If there are no buyers for a bond at a given price its price will fall, which is to say that yields — interest rates — will rise; this is the situation Japan now faces.  

Currency Crisis 

There is another option. As the “monetary sovereign” of MMTers’ dreams, borrowing in a currency it issues, the Japanese government can always declare a maximum yield it will pay. If yields rise above it, the central bank can step in to purchase the bonds at whatever price the government decrees, printing whatever money is necessary. 

Indeed, at its May meeting, Prime Minister Sanae Takaichi is reported to have urged Gov. Kazuo Ueda of the Bank of Japan to buy Japanese government bonds to curb rising long-term interest rates. Whatever concerns this raises about its independence, the Bank of Japan is already the biggest holder of government debt, with 52 percent of the total outstanding in December.   

But the currency creation this requires may fuel inflation; there is a big difference between handing newly printed money to financial institutions to rebuild ravaged balance sheets, as in the 1990s, and handing it to government to finance current spending. Consumer price inflation in Japan has been above 2.5 percent annually in each of the last four years, the first time since 1981 the rate has been so high for so long. To fight this, Bank of Japan has hiked its main interest rate to a level not seen since 1995: one percent. This, of course, pushes yields higher and makes the debt situation worse.  

The central bank is stuck; it prints money to keep government interest rates down, or it hikes interest rates to get inflation down. This is the choice all heavily indebted Western countries, like the United States, will eventually face; a debt crisis resolved with “austerity” or an inflationary currency crisis which will be remedied by “austerity” in any event. At some point, even government has to live within its means.   

Exchange Rates 

Now, Japan’s problems threaten to hasten the United States’ journey down the path to crisis. 

Inflation is the loss of money’s value relative to other things. One manifestation of this is a falling exchange rate, which is just the price of one currency expressed in terms of another. As recently as January 2021, $1 US bought ¥104 (¥100 bought 96 cents); in July, $1 US bought ¥162 (¥100 bought 62 cents), the fewest in 40 years. Japanese buyers must pay more yen for goods, like energy, which are traded in foreign currencies, like dollars.  

To ease this squeeze, Japan’s authorities have tried to boost the yen against the dollar. Like any other price, currency prices are driven by supply and demand so, to boost the yen’s exchange rate against the dollar, Japan needs to have fewer yen chasing dollars and/or more dollars chasing yen. Tighter monetary policy is required to accomplish the former — though that makes debt financing more challenging — and to accomplish the latter, the Japanese have been selling US bonds in return for dollars which they then use to purchase yen.  

But this increase in the supply of Treasury bills on the market lowers their price and boosts their yields, another factor contributing to the alarming spike in the federal government’s borrowing costs. In summer 2026, the 30-year US Treasury yield hit a 19-year high of 5.238 percent.   

Recognizing this, the US Treasury has stepped in to buy yen with dollars, but this is only a temporary fix. The underlying problem remains, as Robin Brooks notes: Japan’s bond yields are still not high enough to reflect its true fiscal situation, but Japan cannot afford for them to rise any higher.  

Japan has borrowed itself into a corner. Many other countries, including the United States, are on track to join it.       

Friday’s July employment report offered an unusually good occasion to revisit something I wrote about almost exactly a year ago: the widespread misunderstanding of revisions to the monthly jobs numbers. On August 7, the Bureau of Labor Statistics reported that nonfarm payroll employment fell by 23,000 jobs in July, while the unemployment rate edged down to 4.1 percent. At the same time, May payroll growth was revised from +129,000 to +63,000 and June from +57,000 to +20,000: a combined downward revision of 103,000 jobs.

Those numbers certainly suggest that the labor market has weakened. The three-month average payroll gain is now only about 20,000. But before turning a disappointing jobs report into either a recession call or another round of accusations that government statisticians are cooking the books, it is worth remembering what these numbers actually are.

They are estimates. The headline payroll number comes from the Current Employment Statistics survey, in which BLS collects payroll information from roughly 119,000 businesses and government agencies representing about 622,000 worksites. That is an enormous sample, covering about one-quarter of American payroll employment. It is nevertheless still a sample. Not every establishment responds immediately, seasonal factors are continually recalculated, businesses are born and disappear, and additional information arrives after the first release. Consequently, revisions are not corrections of “mistakes” in the ordinary sense. They are updates to an estimate as information improves. BLS explicitly notes that the two preceding months are routinely revised as additional survey responses arrive and seasonal factors are recalculated. After two revisions, when nearly all reports have been received, the estimate is considered final.

This distinction matters particularly for July’s negative first print. The reported loss of 23,000 jobs sounds very precise. It is not. BLS estimates that the 90-percent confidence interval surrounding a monthly payroll change is roughly plus or minus 122,000 jobs. Applied mechanically to July, that means a first estimate of −23,000 is consistent with an underlying change somewhere in the neighborhood of −145,000 to +99,000. That does not make the estimate useless. It means that the proper way to read it is as one observation in an evolving stream of evidence rather than as a perfectly measured head count.

That was also the point of my analysis following the extraordinary revisions in the July 2025 report. At the time, May and June 2025 were revised downward by a combined 258,000 jobs. I examined the historical distribution of payroll revisions and found that it was decidedly unlike the neat bell-shaped distribution people often have in mind when they hear that something is “three standard deviations” from normal. Payroll revisions have fat tails: unusually large observations occur considerably more often than a normal distribution would imply.

Since then, I have substantially expanded that dataset and asked a more practical question: do revisions themselves tell us something about the business cycle? The answer is yes — but considerably less than headlines sometimes imply.

Among 484 observations in my sample where the economy remained in a National Bureau for Economic Research (NBER) expansion from the initial estimate through the final release, nearly 40 percent were revised downward. Downward revisions, in other words, are perfectly ordinary during good economic times. And during stable contractions, upward revisions were actually much more common than downward ones. A single negative revision is correspondingly weak as a recession signal. When an expansion is underway, the historical probability of entering recession within the next 12 months in my sample is about 12.2 percent. After one negative payroll revision, it is 11.0 percent: essentially no warning at all.

Persistence is somewhat more informative. After two consecutive negative revisions, the 12-month recession probability rises to 17.3 percent; after three, 16.7 percent; and after four, 20 percent. The strongest signal appears when repeated downward revisions also acquire meaningful size. Once an ongoing string of negative revisions accumulates to approximately 30,000 to 40,000 jobs, subsequent recession risk rises noticeably. At a cumulative −40,000, the historical 12-month probability reaches roughly 26 percent, more than twice the expansion baseline.

That is interesting, but it is not a recession alarm. 

The samples become small quickly, the relationship is not perfectly linear, and extremely large revisions are not automatically more informative than moderately large ones. The sensible conclusion is narrower: one disappointing number tells us little; persistent deterioration across successive estimates deserves considerably more attention.

(The above chart should be read as a measure of how the warning signal changes as downward revisions accumulate. During an ordinary expansion, the historical probability of entering recession within the next 12 months is about 12.2 percent. But among the 27 observations in which an ongoing sequence of downward payroll revisions accumulated to at least 40,000 jobs, 25.9 percent were followed by recession within a year: roughly twice the baseline rate. That does not mean a cumulative 40,000 job revision predicts recession, much less causes one; roughly three-quarters of those observations were not followed by recession. Rather, it suggests that once downward revisions become both persistent and sizable, they contain more information about deteriorating economic conditions than a single negative revision does.) 

I also subjected the data to some simple forensic tests because accusations that BLS numbers are politically manipulated have become routine. I looked for suspicious rounding and unusual final-digit patterns, calendar effects, election-year behavior, campaign-season anomalies, and partisan differences in revisions. The initial estimates and total revisions showed no suspicious digit patterns. Average revisions did not vary meaningfully by calendar month. Presidential election years showed no statistically meaningful revision bias, and during August through October of presidential-election years — the period when political incentives ought to be greatest if manipulation were occurring — average revisions were virtually identical to those in other months.

(The forensic tests look for statistical fingerprints that might suggest systematic distortion. Terminal-digit tests find no suspicious heaping in initial prints, first revisions, or total revisions; the unusual pattern in second revisions is consistent with later adjustments clustering near zero. A runs test finds mild persistence in the direction of revisions, but nothing inconsistent with changing economic conditions, while calendar-month tests find no recurring seasonal pattern. Most importantly, revisions in presidential election years and during the politically sensitive August–October campaign window are statistically indistinguishable from other periods. None of these tests can rule out manipulation categorically, but together they provide no statistical evidence of systematic political interference.)

There are patterns in the data. Economic statistics are not random numbers generated by a roulette wheel. Revisions cluster, business conditions change, reporting arrives unevenly, and turning points are particularly difficult to measure. Non-randomness is not evidence of fraud.

July’s −23,000 nonfarm payrolls number deserves attention, particularly alongside the weaker May and June estimates. But the lesson from nearly half a century of revisions is not that the latest number should be ignored. It is that we should resist giving any single first estimate more authority than it demonstrably possesses. The monthly jobs report is best understood not as a final measurement of the economy, but as a successive attempt to see something enormous, complicated, and constantly changing with necessarily incomplete information.

You’ve no doubt heard the horrifying stories of dictators who abused their people for personal gain or sheer cruelty. Stalin’s Great Purge, Mao’s engineered famine, and Pinochet’s brutal torture of dissidents are just a few notorious examples. If all dictatorships are hell, a difficult question remains: which offers the better odds of survival, or even prosperity? Is it a dictatorship that tolerates some free-market capitalism, or one built on socialism?

A disclaimer is in order: This is not a defense of tyranny. We should resist it, whatever the form — absolute monarchies, military juntas, or proletarian dictatorships. Whether it’s the few controlling the many or the many terrorizing the few, all policies repressing freedom, silencing dissent, or justifying violence against innocents are inconsistent with our natural rights. They are morally evil and unjustifiable.

“The more the state ‘plans’ the more difficult planning becomes for the individual.”

Friedrich A. Hayek

Socialism has appeared in many forms — Revolutionary (USSR), nationalist (Germany), agrarian (Cambodia), on and on. Wherever it does not collapse quickly due to its economic defects, it inevitably destroys all political freedoms. Two types of tyrannical regimes emerge: one type allows private property and business initiative, the other squelches them.

Under a regime where the rule of law is replaced by the arbitrary rule of men, the economic system imposed still makes a world of difference. And the contrast is nowhere more vivid than in the struggles of Chile under Augusto Pinochet and Venezuela under Chávez and Maduro. 

Let’s start with the fundamental difference: Who controls the economy? In reality, none of the regimes provided consistent legal protection for property owners. Pinochet, Chávez, and Maduro all routinely violated these fundamental rights. But citizens and private entrepreneurs under Chile’s junta had much more control over their personal and economic decisions than those trapped in Venezuela’s socialist economy.

What might seem trivial is, in reality, the difference between meeting your basic needs as a human being and literal starvation. Capitalism means private ownership of the means of production. Under socialism, the state owns everything. Even if political rights are restricted, private ownership is much more desirable for the average person. That’s why life in authoritarian Chile was more bearable than in Venezuela after it embraced democratic socialism.

“Private property creates for the individual a sphere in which he is free of the state.”

Ludwig von Mises

At the start of Pinochet’s rule, the Chileans faced tough economic challenges. None of their difficulties can compare to the mass food and basic supply shortages, hyperinflation, and large-scale emigration experienced by the Venezuelans under socialism. While Chile struggled with poverty and unemployment during parts of the regime, the economy improved significantly following pro-market reforms in the 1980s.

Private ownership of the means of production means that it is possible to start a new business and to compete. This has a positive impact on growth, living standards, and poverty rates. Private business ownership is limited or in name only, if it is possible at all, in socialist countries.

Following advice from Milton Friedman and his “Chicago boys,” Pinochet’s government reduced inflation, slashed tariffs, deregulated the economy, privatized pensions, and introduced private competition into education and healthcare. The economy experienced a deep recession in the early 1980s, but it rebounded and, by the end of the century, it had a solid foundation for sustainable growth. 

“Socialism only works in two places: Heaven, where they don’t need it, and hell, where they already have it.”

Ronald Reagan

Even though Chile was ruled by a ruthless dictator, free-market reforms generated an entrepreneurial boom. The result for ordinary citizens was unprecedented upward mobility. Capitalism, even under a military junta, expanded middle-class prosperity.

Contrast Pinochet’s regime with the damage done by socialism in Venezuela. Chávez took power in 1999 in one of the richest countries in Latin America, blessed with vast oil reserves and a relatively educated population. He inherited a middle-income economy with immense potential. Then Chávez found a solution to a nonexistent problem.

The state expropriated and nationalized thousands of private businesses, including oil, electricity, telecommunications, and agriculture. Chávez demonized private enterprise and implemented sweeping price controls that destroyed incentives to produce. The government managed to purchase political support while oil prices were high. Like many other resource-rich countries with interventionist policies, Venezuela failed to diversify its economy.

When oil prices inevitably collapsed, so did Venezuela. Hyperinflation destroyed prosperity. The economy shrank by around 75 percent between 2014 and 2021. More than seven million people fled the country, most of them college-educated, creating the largest refugee crisis in the Western Hemisphere.

Private property also creates a path to restoring other kinds of liberties. When individuals, not the government, own and control the land and the capital, it is possible to restore political freedoms. Recent research suggests that capitalism has historically been the ordinary citizens’ shield against tyrannical abuses. The study “You Have Nothing to Lose but Your Chains?” published in Public Choice shows that socialism inexorably leads to authoritarian rule and the violation of human rights. Capitalism provides the kind of opportunities that socialist regimes inevitably extinguish — including the opportunity to regain the consent of the governed after a dictatorship.

“Economic freedom is an essential requisite for political freedom.”

Milton Friedman

Pinochet stepped aside in 1988 after a voter referendum destroyed his claims to legitimacy. Chileans won back their democracy. Chávez and Maduro ignored attempts to unseat them and entrenched their rule by eliminating checks and balances and weaponizing the state apparatus against their opponents. Controlling the productive assets and eliminating alternatives gives a dictator even more power and resources to control the population. Venezuelans now face a failed state with no prosperity and no freedom on the horizon.

The lesson here is not that dictatorship is good. Pinochet is no hero and committed countless acts of brutality. But if you find yourself under the control of a tyrant, you’d better hope he leans toward free enterprise. Capitalism is the greatest poverty-fighting tool ever tried because it’s based on incentives, not ideology. Unlike socialism, private property also props open an escape hatch, offering the hope that the people can someday regain their dignity and autonomy.

Browse the program of almost any major management conference and a clear pattern emerges: business schools now teach students how firms should solve society’s problems before they teach them how firms create value in the first place. Conference sessions devoted to sustainability, stakeholder governance, social impact, and public policy occupy an increasingly prominent place alongside marketing, finance, strategy, and operations. The Academy of Management, the largest professional organization for business scholars, reflects this evolution through both its conference programming and its growing emphasis on research that addresses society’s pressing challenges. The shift is also evident in business school accreditation. Accreditation standards likewise encourage schools to demonstrate “societal impact” and commitment to responsible management alongside excellence in teaching and research. These are worthwhile topics of conversation, but their political prominence is beginning to crowd out something more fundamental: understanding how successful firms actually work. 

Business schools occupy a unique place in higher education because their comparative advantage lies in helping students understand how markets coordinate human effort, how entrepreneurs discover opportunities for creating value, and how voluntary exchange improves people’s lives. Those essential lessons have become increasingly difficult to find amid the expanding emphasis on corporate stakeholders and social responsibility.

Business is one of the most successful institutions of social cooperation ever developed. Every prescription medication, grocery order, airline ticket, and smartphone upgrade reflects the coordinated efforts of thousands of people who will never meet. Farmers, engineers, software developers, manufacturers, marketers, logistics providers, retailers, financiers, and countless others contribute specialized knowledge that combines to produce the products and services most consumers take for granted. This extraordinary level of coordination occurs without a central authority directing each participant. 

Before asking students how businesses should improve society, business schools should first help them appreciate what businesses already do.  

The intellectual foundations for appreciating business as a system of social cooperation are hardly new. Adam Smith recognized that specialization and exchange enable individuals pursuing their own interests to create prosperity that extends well beyond their immediate transactions. The famous example of the pin factory illustrates that productivity emerges when labor is organized according to comparative strengths and coordinated through markets rather than command. Smith’s insights remain relevant because they explain not only economic growth but also the remarkable cooperation that occurs whenever individuals engage in voluntary exchange. Whether manufacturing pins in eighteenth-century Scotland or coordinating global semiconductor production today, Smith’s insight remains the same: specialization enables productivity that no individual could achieve alone. 

Austrian economists Ludwig von Mises and Friedrich Hayek expanded Smith’s insights during the twentieth century. Mises demonstrated that profits and losses are signals that communicate whether certain uses of scarce resources are generating value for consumers. 

Hayek explained why this process succeeds where centralized planning inevitably falls short. 

Consider a smartphone. No government agency designed the intricate web of cooperation required to produce it. The chips may come from Taiwan, rare earth minerals from Australia, software from California, camera components from Japan, and assembly from factories in China or India. Thousands of firms, each responding to prices, profits, and consumer demand, coordinate without anyone possessing a complete blueprint of the entire system. What appears to consumers as a single product is actually the outcome of millions of decentralized decisions. Businesses coordinate this process; profit signals that value has been created.

No planner possesses the knowledge dispersed among millions of buyers, sellers, workers, and innovators. Markets coordinate that knowledge through prices, competition, and voluntary exchange. Profit rewards entrepreneurs who anticipate consumer needs more effectively than their competitors. Losses encourage firms to redirect labor, capital, and creativity toward more valuable uses. 

Firms cannot command consumers to value a product. They must discover unmet needs, communicate value effectively, and continually adapt to changing preferences. No regulator, executive, academic, or government agency possesses enough information to determine which products should succeed, which innovations deserve investment, or which business models should prevail. Only millions of decentralized decisions can reveal that information through prices, competition, and consumer choice.

Taken together, Smith, Mises, and Hayek describe business not as a mechanism for accumulating wealth alone but as a dynamic process of discovery and coordination. Business creates prosperity because it enables individuals with different knowledge, talents, and ambitions to cooperate in ways that no single organization could ever fully design. But it’s increasingly rare to find this understanding of business — as a system of discovery and cooperation — reflected in business schools’ priorities.

When social objectives take priority over value production, students become proficient in frameworks for evaluating a firm’s social impact while receiving comparatively less exposure to the economic logic that allows firms to generate value in the first place. This shift is driven by understandable aspirations. Few would oppose ethical conduct, environmental stewardship, or community engagement by business leaders. The challenge arises when these important objectives become detached from the productive activities that make them possible. 

Businesses contribute to society most fundamentally by serving customers, creating jobs, directing scarce resources toward their highest-valued uses, and fostering higher living standards. These productive goals are not incidental byproducts; they are the primary contribution of business to society. Many firms also strengthen their communities through charitable giving or other social activities, but such initiatives are made possible by the value businesses first create through the marketplace. Business schools’ distinctive educational mission is to help students understand how businesses function at the core, not the periphery. 

Appreciating this achievement ought to be central to business education. Students must first understand why profits communicate valuable information, why competition promotes discovery, why entrepreneurship expands opportunity, and why decentralized decision-making consistently outperforms centralized direction in environments characterized by complexity and change. 

Ethics, sustainability, and corporate responsibility all deserve serious attention. But they rest on a prior question: how do businesses create the wealth that makes those aspirations possible? 

Recovering the central purpose of business education begins by teaching the principles Adam Smith first articulated and that Mises and Hayek later refined. Markets generate wealth by enabling millions of strangers to cooperate peacefully in creating value for one another. Recovering an appreciation for that achievement should be the defining purpose of business education. 

We readily celebrate athletes, musicians, scientists, and artists for extraordinary achievement, not only for the charitable giving or social causes they might undertake later. Entrepreneurs and innovators deserve the same admiration: businesspeople create value that didn’t exist before, transforming dispersed knowledge into products and services that improve everyday life. Helping students understand that process is not one objective among many. It is the distinctive purpose of business education.

With gasoline prices back above $4 a gallon, many people are once again asking: Are we running out of oil? At around $90 a barrel, crude oil has climbed 50 percent from its January low of $60. That sounds dramatic, but history provides a useful perspective. The highest annual average oil price was $111.67 in 2012. The real outlier was the 1974 OPEC oil embargo, when crude prices exploded 252 percent in a single year, from $3.29 to $11.58 a barrel. A comparable shock today would send oil to roughly $295 a barrel. Could that happen? Yes. Is it likely? No. The future is shaped not by worst-case scenarios, but by probabilities, incentives, and human ingenuity.

But dollar prices are only half the equation. The real question is not “What does oil cost?” but “How much of my time does a barrel require?” To answer this question we must take a look at hourly wages. For example, blue-collar compensation (wages and benefits) has increased 326 percent since 1980.

Once we divide the money price by hourly compensation, we obtain the time price—the number of hours required to earn one barrel of oil.

The true price of oil is measured in time, not dollars. In 1900 oil was only $1.19 a barrel, but blue-collar workers were only earning 14 cents an hour, putting the time price at 8.5 hours. In 1900 oil cost less in dollars, but much more in hours. The time price eventually fell to just 0.46 hours in 1970. Then OPEC showed up and pushed the price to over four hours by 1980. The price fell back to 0.7 hours in 1998 and then back up to 4.14 hours in 2011. Today the time price is barely over two hours, nearly half the 2011 peak.

Even more revealing than today’s price is the futures market. Today’s price tells us where oil is. Futures prices tell us where the market thinks it is going. Unlike television pundits, futures traders back their forecasts with their own money.

The market is signaling that oil prices are likely to decline over time. If you think they’re wrong, the market invites you to prove it and profit from your insight. Why does the market expect lower prices? Because history shows that high prices create powerful incentives to discover new supplies, substitutes, and innovations.

Political shocks, wars, sanctions, and OPEC decisions can temporarily disrupt oil supplies, but knowledge keeps expanding them. Horizontal drilling, hydraulic fracturing, and other innovations have unlocked vast new reserves once thought unreachable. The story of oil is not one of depletion, but of discovery.

Human ingenuity creates abundance in two ways. First, it discovers more oil. Second, it helps us accomplish more with every gallon we consume. In 1980, America’s best-selling car was the Oldsmobile Cutlass, which averaged about 20 miles per gallon: 17 in the city and 23 on the highway. By 2025, the Honda CR-V had become the most popular two-wheel-drive vehicle. Its gasoline model delivers about 31 miles per gallon, while the hybrid reaches roughly 40 miles per gallon. That represents an improvement of 55 to 100 percent over 45 years.

The hybrid performs especially well in city driving because it relies more heavily on its electric motor, captures energy through regenerative braking, and shuts off the gasoline engine while stopped.

In 1980, a blue-collar worker had to work over four hours to buy a barrel of oil, and the typical car traveled about 20 miles per gallon. Today, that same barrel costs just 2.15 hours of work, while modern hybrids travel about 40 miles per gallon. Put those gains together, and each hour of work now buys 3.72 times more transportation than it did in 1980.

Better engines are only part of the story. Cars themselves have become more affordable as well. The surprise isn’t that today’s cars cost more dollars. It’s that a blue-collar worker today needs 41 fewer hours to earn a new Honda CR-V than a worker in 1980 needed to earn a new Oldsmobile Cutlass. According to J.D. Power, the Cutlass sold for $6,735 in 1980. With the BLS reporting blue-collar workers earning $6.82 an hour, its time price was 988 hours. Today, a Honda CR-V starts at about $31,500. At current blue-collar earnings of $33.28 an hour, its time price is 947 hours. Despite being vastly safer, more reliable, more fuel-efficient, and packed with technologies unimaginable in 1980, the modern CR-V costs 4 percent less time to earn than the Cutlass did.

America has helped energize the world by giving its citizens the freedom and property rights to discover new knowledge. That freedom has unlocked vast new supplies of oil, not because the Earth created more petroleum, but because human ingenuity learned how to find and extract what was once beyond reach. The relationship is a virtuous circle. More knowledge gives us access to more energy, and more energy empowers us to create even more knowledge. Every new oil well is also a new lesson in geology, engineering, materials science, and entrepreneurship. The ultimate resource is not oil, but human freedom. Free people create new knowledge, and new knowledge transforms finite physical atoms into ever greater resource abundance.

Writing recently at National Affairs, Yale University political philosopher Gregory Collins leveled serious charges against modern economics. Because Collins is an accomplished scholar of the works of Edmund Burke and Adam Smith (among others) — and because he harbors toward the market order none of the knee-jerk hostility that today motivates so many progressives and postliberals — his criticisms deserve to be taken seriously.

Among the economists whose work Collins criticizes is me. Specifically, he criticizes my distinction, expressed in this AIER Explainer, between consumption and production. My respect for Collins and his work fortified me to contemplate his criticisms with an open mind. I nevertheless believe that Collins misses my point. And so while I’ll devote the first part of this essay to addressing some of Collins’s criticisms of other economists, I’ll devote most of this essay to a defense of my distinction between consumption and production.

An Overly Broad-Brush Criticism of Economics

Collins argues that modern economics rests on an impoverished understanding of human nature — one that compresses human beings into creatures seeking to maximize utility by satisfying as many material preferences as possible. Economics, in his view, reduces “the spice and variety of life to the vapid premises of preference satisfaction, utility maximization, and rational-choice theory.” This impoverished understanding, Collins argues, stems from economists’ failure to draw sufficiently on pre-Enlightenment wisdom, especially the insights of Aristotle and St. Thomas.

The best pre-Enlightenment thinkers, Collins argues, understood that human existence involves more than mere preference satisfaction. They recognized that each of us — or at least those striving to live a worthy life — “seeks,” in Collins’s words, “moral purpose and spiritual transcendence.” By ignoring this reality, modern economics misunderstands humanity and, with it, social activity.

I have no interest in defending every tenet of neoclassical economics. Much economic analysis is carried out with too narrow an understanding of human nature. In addition, many economists, focused as they are on quantitative measurement, overlook economically relevant phenomena that cannot be captured in numerical data. But I know of no such flaw in economics that has not been identified and challenged by economists themselves. Although not all of these arguments and discoveries appear in textbooks, they are prominent enough within the discipline to make Collins’s portrayal of economics itself ironically reductionist.

Consider two examples.

The typical neoclassical economist assumes that self-interest encourages individuals to capture as much of the gains from trade as possible, leaving their trading partners with as little as possible. Yet in laboratory experiments of what is called “the ultimatum game,” individuals typically exhibit a sense of fairness and will knowingly sacrifice material gain in order to enforce that sense of fairness.

It’s true that changing the rules of the ‘game’ often changes the outcomes. Indeed, it’s possible to arrange, by changing the rules, for each player to behave more like a narrow-minded homo economicus. But this latter experimental finding itself reveals that narrow-minded homo economicus is, under certain circumstances, an empirical reality — and, thus, attention to both formal and informal institutions is important if we wish to prevent society from being dominated by narrow-minded homines economici pursuing only their short-run material interests.

Another example of work that belies Collins’s description of modern economics is that of the late Nobel laureate Elinor Ostrom. Through extensive fieldwork, Ostrom discovered that individuals in communities often solve collective-action problems, such as creating and sustaining communal irrigation systems, that would never be solved by narrow-minded homines economici.

Of course, one can attempt to describe these behaviors in utility-maximizing terms. But the fact that prominent economic research recognizes human purposes as complex, layered, and often nonmaterial is powerful evidence that Collins’s critique paints economics with too broad a brush. 

On Production and Consumption

Collins explicitly rejects my attempt to distinguish production from consumption. He writes:

Many economists today believe that maximizing consumption should be the aim of political economy. Donald Boudreaux asserts as much in an essay published last summer by the American Institute for Economic Research. Powered by the logic of Ludwig von Mises, Boudreaux insists that “consumption is the end, and production is the means” of economic activity, and that all productive activities are “means to the end of achieving maximum-possible consumption satisfaction.”

Boudreaux’s view represents the first commandment of the economic mind today: Thou shalt study the satisfaction of subjective preferences. This assumption, like the philosopher’s stone, transmutes the complexities of human behavior into the hallowed touchstone of economic analysis, effectively chilling serious reflection of the social and moral dimensions of man’s natural constitution.

Collins misunderstands my point because he overlooks the purpose of my essay. That purpose is not the normative claim that “maximizing consumption should be the aim of political economy.” Rather, my purpose is to expose an analytical error committed by many interventionists, especially protectionists such as Oren Cass and Robert Lighthizer.

Protectionists typically justify their policies by pointing to the particular jobs they save. Economists respond that protectionism also destroys particular jobs. They also note that protectionism reduces the spending power of domestic consumers. In public debates, protectionists often ignore the first point while eagerly seizing on the second to make what they believe is a “gotcha” argument against economists.

“Aha!” protectionists cry. “Economists’ view of humanity is absurdly narrow! Unlike us protectionists, who understand that people are not only consumers but also producers, economists think people are only consumers. How silly! We can therefore ignore economists.”

If economists were guilty as charged, then policy recommendations rooted in our positive analysis would indeed be worthless. But we’re innocent.

To see why requires that the analytical distinction between “consumption” and “production” be made clear. “Consumption” is a label for ends; “production” is a label for means. The particular content of the ends (and of the means) isn’t specified. “Consumption” can refer to the wise pursuit and embrace of the true and the beautiful as defined by Aristotle or Aquinas (or by Adrian Vermeule, Pope Leo, the Dalai Lama, Hasan Piker, Nick Fuentes, whoever) no less than to myopic attempts to gratify the most fleeting desires of the flesh.

When economists say that individuals act to satisfy as many consumption desires as possible, we describe a category of human action; we prescribe nothing. We simply mean that individuals act to achieve as many of their ends as possible. When challenging protectionist policies and other government interventions, we explain that such policies increase some individuals’ ability to achieve their ends only by reducing the ability of others to achieve theirs. Economics imposes no restrictions on what those ends are or ought to be, and it makes no value judgment about one set of ends compared with another. 

Nor do economists elevate consumption over production. Rather, we point out that production is a means to consumption, whatever the particular consumption desires might be. To argue for policies that treat production as an end in itself is therefore to commit a category error. 

It is akin, for example, to mistaking an emergency appendectomy for an end on par with the patient’s goal of good health. The successful performance of the surgery has genuine value, and the surgeon may rightly take satisfaction in performing her craft with skill and care. Yet no sensible person would wish to protect the surgeon’s job by opposing a pharmaceutical breakthrough that ensures appendixes never again rupture. The dignity and satisfaction the surgeon derives from her work come from restoring patients to health. If patients are already healthy, the surgeon would be perverse — and most undignified — to insist on performing unnecessary operations. 

No competent economist denies that work has dignity or that individuals find satisfaction and meaning in their work beyond the incomes they earn. What economists deny is the practical possibility of using government to protect some individuals’ pursuit of dignity and other nonmaterial goals without obstructing other individuals’ pursuit of the same. 

Similar reasoning applies to the values people attach to their families, communities, churches, and countless other non-monetary aspects of life. Perhaps “consumption” is an imperfect word to describe the pursuit of both material and higher ends. I am open to suggestions for a better term. But until such a term gains currency, scholars should avoid concluding from economists’ description of “consumption” as the goal of human action that economists either deny or dismiss the human pursuit of truth, beauty, and transcendence.

A university degree once distinguished its holder precisely because few people had one. As degrees spread, employers began demanding them as a baseline, and today many jobs that historically required a high-school education demand a bachelor’s degree, not because the work grew more complex, but because the signal became an entry fee. Everyone pays more; nobody stands out. That sentence describes far more of modern life than credentials.

Replying to email quickly once demonstrated diligence. Then prompt replies became the norm, the advantage evaporated, and what remains is an expectation of perpetual availability. Consultants encounter a version of the same trap: clients rarely read a 300-slide deck, and a concise 30-slide report would usually communicate the recommendations better, but the extra 270 slides signal effort and thoroughness. Psychologists call the instinct behind it the effort heuristic. Even prizefighting has its costume: athletes dehydrate themselves by as much as ten kilograms to make a weight class below their natural size, a practice doctors condemn and many fighters privately hate, yet no one can quit alone without gifting an opponent a size advantage.

The pattern behind all of these is old and well mapped. Michael Spence won a Nobel for showing that a signal can be perfectly rational for each individual and pure waste for the group. Garrett Hardin’s tragedy of the commons is the textbook cousin: each herder benefits from grazing one more animal, so every herder does, and the pasture dies. Individually sensible, collectively expensive. The life cycle is always the same. A practice starts by conferring a real advantage; the advantage is competed away as everyone adopts it; the costs become permanent.

Why does nobody simply stop? Three forces keep these equilibria in place. The first is the first-mover penalty: whoever stops first suffers first and alone. The consultancy that slims its decks does not become worse at analysis, but it becomes different—and different demands an explanation. The second is inertia: practices that have endured for decades acquire a presumption of legitimacy, and some of that presumption is earned, since most new ideas are bad. The third is conformity: visible non-participation unnerves people even when it is harmless. The complaint about the plain-spoken colleague is never, “Communicates too clearly.”

The encouraging part is that these equilibria are not permanent. They end, and history shows how.

Sometimes innovation obsoletes them. Employers are currently dropping degree requirements in favor of skills assessments, portfolios, and work samples, not because they became altruistic, but because better predictors of performance emerged. When a superior alternative changes the incentive structure, an old equilibrium unravels surprisingly fast, and the first mover to kill a hated practice captures real goodwill.

Sometimes coordination does it. People who cannot stop individually can stop together. Volkswagen famously configured its servers to stop routing email to employees’ phones outside working hours. Many firms now enforce hard stops on after-hours messages, a private fix for a private arms race. And sometimes private governance moves where regulators stall: after a fighter died during a weight cut in 2015, the promotion ONE Championship banned dehydration cutting and introduced hydration testing, a reform state athletic commissions in boxing have still not matched.

And sometimes status does it, which is the strangest exit of all. The first-mover penalty is not distributed evenly. Warren Buffett writes his shareholder letters in plain, folksy English while much of finance drowns in jargon, and nobody concludes that he must not understand derivatives. Economists call this countersignaling: when your position is beyond question, refusing to signal becomes the loudest signal of all. The people at the top can abandon a pointless practice at little cost, and when they do, they give everyone below them permission to follow. Casual Fridays did not spread from the interns upward. If you are waiting for one of these equilibria to die, watch the most secure person in the room.

Notice what none of these exits requires: mass moral improvement. These systems rarely disappear because people become more rational or more generous. They disappear because incentives change. The moment participation stops conferring an advantage, or non-participation stops carrying a penalty, the structure collapses faster than anyone inside it expected.

So here is a better question to ask of any practice than, “Why does this exist?”: If everyone could stop doing this tomorrow without consequences, would they? If the answer is yes, you are probably not looking at an efficient institution. You are looking at an equilibrium people maintain simply because everyone else maintains it.

Apply the question with care; G.K. Chesterton’s rule about fences still holds, and some practices that look pointless are quietly load-bearing. But apply it. Many practices we now consider absurd were once perfectly normal, and many we currently accept will one day receive the same treatment. Progress rarely comes from convincing people to be better. It comes from changing incentives until the sensible thing and the individually rational thing become the same thing.

Imagine being stranded alone on a deserted island. You’ve developed basic survival skills such as fishing and foraging, although you are better at the latter than the former. You built a functional shelter and have enough food to survive. But life could be better. 

One day after gathering coconuts, you suddenly see another human on the beach. That individual, who is carrying a basketful of fish, spots you as well. You both pause, staring at one another in surprise. 

This “Robinson Crusoe” scenario is a common in many Economics 101 courses to advance the discussion of market exchange. If you’ve ever taken this course, you know what happens next. Both individuals instantaneously realize it is in their mutual interest to exchange goods, agree to specialize, and construct a chart summarizing their comparative advantages. You, being better at climbing trees, become the coconut collector, whereas your new trading partner becomes the expert fisherman. Your quality of life improves with the increased efficiency arising from specialization and trade. 

This logic arises directly from Adam Smith and David Ricardo. In The Wealth of Nations, Smith argues that the division of labor improves productivity by allowing individuals to enhance dexterity and avoid “sauntering” between activities. But if one devotes more attention to one task, it is necessary to rely upon others to supply those things you no longer produce for yourself. Fortunately, humans are natural-born truckers, barterers, and exchangers. An expanded market that promotes exchange with an increasing number of individuals thus allows for more specialization, productivity, and wealth. Even if some individuals are better at all tasks, division of labor still works if people specialize in the things they are relatively best at. This is the concept of comparative advantage articulated by David Ricardo in The Principles of Political Economy and Taxation.

Thus, on our formerly-deserted island, two people leveraging comparative advantage increases both individuals’ welfare. Cooperation improves living standards.

Not So Fast: Relations Before Transactions

But is this really what would happen if two strangers met for the first time on what was believed to be a deserted island? Confronted with this situation, would you automatically draw a comparative advantage chart? And would you honestly expect the stranger you just encountered to agree without question that specialization and exchange are the obvious solutions to a fruitful (and fish-filled) standard of living? Is it obvious that cooperation would spontaneously emerge? 

I propose that the answer to these questions is emphatically “No!” Rather, the first reaction of each individual is more likely to be confusion, distrust, and fear. Granted, both castaways may be excited to meet someone else; companionship is often a desired good. But what if the stranger is hostile, plans to attack, and steals all your hard-earned coconuts? And what if the other person is part of a larger tribe that views intruders with suspicion? With little knowledge of the “other,” it may be prudent to expect conflict, and not cooperation, as a possible outcome. Uncertainty about the intentions of strangers clouds the possibility of cooperation. 

The initial moment of contact between two strangers creates a fundamental choice. Even before mutually advantageous exchange can occur, each party must decide whether to attempt friendly interaction or run away in fear. Choosing the latter option would leave you “alone” on the “deserted” island without any gains from trade to improve your living standards. Things wouldn’t be the same as before, however. Now, you face trepidation that the “other” might sneak into your camp, pilfer your goods, and possibly cause you harm. What a horrible, Hobbesian world this would be – solitary, poor, nasty, brutish, and (alas) probably short! 

You might surmise that mutually advantageous exchange and cooperation are the better choice in this scenario, but how does one convince the other party of your peaceful and productive intentions? You probably aren’t the only one thinking this; the other person is likely engaged in the same thought process. As such, something else must happen before we create a comparative advantage chart. Cooperative relations don’t spontaneously occur. Uncertainty must be alleviated. Trust must be built. Relations must precede transactions. But how? 

Fellow-Feeling Builds Trusting Relations

While Smith is best known for explaining how specialization and market exchange lead to prosperity, he also gave us the recipe for solving the initial problem of uncertain intentions in his other magnum opus, The Theory of Moral Sentiments (TMS). Indeed, he lays it out clearly in the first sentence of the work: “How selfish soever man may be supposed, there are evidently some principles in his nature, which interest him in the fortune of others, and render their happiness necessary to him, though he derives nothing from it except the pleasure of seeing it.” Smith calls this “fellow-feeling.” From here, Smith builds a theory of morality based upon prudent and propitious decisions under conditions of uncertainty. 

Smith accomplishes this task by positing the mechanism of the impartial spectator. When making important decisions affecting others, we step outside of ourselves and consider how others would react to such choices. One should choose the option that best improves the well-being of all individuals affected, and one that is socially propitious – that is, in keeping with accepted norms and values. Choices are not merely about satisfying our immediate material preferences, as simplified neoclassical economic models assume; such decisions include considerations about how society views our choices. Our social reputation matters. We want not only to be loved, but to be lovely; not only to be praised, but to be praiseworthy. This takes human choice beyond immediate and direct gratification, embedding it within a context of long-term reputations and relationships, the things that are crucial for extending markets. Before markets, we must forge trusting relationships. Fellow-feeling becomes the foundation of the wealth of nations. 

The Gift of Sacrifice 

Let us return to our “deserted island.” When we last left our two castaways, they were both staring at one another, wondering furiously whether the person across from them was friend or foe. The answer to that question will determine whether there will be any bartering, exchanging, specialization, and increased prosperity. What to do now? 

Cooperative exchange first requires a desire for peaceful relations. Achieving this likely necessitates a sacrificial offering – a gift – to signal one’s intentions are not hostile. If you offer up several coconuts by laying them on the ground and motioning with your hands that they are for the stranger to take, you have shown a willingness to give up valuable resources to forge an ongoing relationship. Michael Thomas and I have argued that sacrificial gift-giving is historically common as a means of building trust among strangers and alleviating uncertainty surrounding contractual exchange.

Gifts also encourage reciprocity, a needed ingredient in economic exchange. Even a simple “thank you” signals a gracious desire for a relationship. This seed of reciprocal obligation underlies all commercial relations. 

Island Earth: Ritualistic Gifting, Civility, and Prosperity 

The “deserted island” example is instructive, but is it realistic? Very few people are stranded on desolate atolls; we are born into societies populated by millions of individuals. We encounter dozens of people daily, some of whom we’ve never known before. Now consider that each time you meet a stranger in a commercial environment, you are essentially in the same scenario as our hypothesized island. Without some level of certainty whether a potential trade partner is honest and reliable, we are unlikely to exchange. Without generalized trust, the extent of the market shrinks drastically, and we are the poorer for it. 

Unfortunately offering coconuts to every stranger we meet is cost-prohibitive. So how could society recreate the fellow-feeling and beneficial sacrificial behavior witnessed on our island? The answer is public ritual. 

To overcome the difficulties of giving gifts to every stranger we encounter, societies invest in ritualistic forms of gift giving. Christmas, Hanukkah, Valentine’s Day, and even Halloween are infused with gifting practices, reinforcing the values of sacrifice and reciprocity. These ritualistic gifting practices are celebrated publicly. People visibly adorn their residences and businesses with decorations and dress in fancy attire during holidays. Such frivolous expenditures indicate willingness to sacrifice resources to be seen as lovely and praiseworthy. We celebrate businesses and households that decorate for the enjoyment of others. 

To put it another way, public gifting rituals help build key components of civility — sacrifice, graciousness, and reciprocity. This is the basis for the Golden Rule, a simple yet effective decision-making heuristic that allows two strangers on a desolate island realize gains from trade and benefit from specialization. Adam Smith would approve!

Relations before transactions. Trust before trade. Our moral sentiments before the wealth of nations. 

The lesson extends beyond the classroom. We should all remember that the simple act of freely giving a coconut can initiate and enhance the power of voluntary exchange and comparative advantage to create common prosperity.