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In my recent CiVL article, “Growing Out of $40 Trillion: Some Unpleasant Fiscal Arithmetic,”⁠ I estimated that merely stabilizing the federal debt burden through economic growth — without spending cuts, tax increases, or additional borrowing — would require something on the order of 7.3 percent annual real GDP growth. The calculation was deliberately generous: it assumed Washington would immediately stop adding to the debt and that faster growth would not generate higher interest rates or additional spending. Even under those indulgent assumptions, sustained growth of 7.3 percent is not remotely realistic.

Seven percent growth sounds vaguely Reaganesque only until one distinguishes real growth from nominal growth. Nominal GDP frequently expanded at annual rates of 7 to 10 percent during the 1980s, but much of that increase reflected inflation rather than additional production. Inflation may enlarge the denominator in the debt-to-GDP ratio, but it is not a free fiscal lunch: bondholders eventually demand compensation for lost purchasing power, maturing Treasury securities refinance at higher rates, indexed federal expenditures rise, and the government’s interest bill compounds.

Real growth tells a very different story. The United States has never sustained seven percent real growth for a meaningful period as a mature peacetime economy. Rates that high have generally appeared during recoveries from the Great Depression, wartime mobilization, or brief rebounds following severe recessions. According to the Bureau of Economic Analysis series for annual real GDP growth⁠, real GDP grew 7.2 percent in 1984, but that was a single-year snapback following the brutal 1981–1982 recession. From 1983 through 1989, the celebrated Reagan expansion averaged approximately 4.4 percent; across the entire 1980s, including two recessions, growth averaged about 3.2 percent. The historical record contains isolated seven percent years, but it does not contain a durable seven percent economy.

Today’s underlying arithmetic is substantially worse. During the 1980s and 1990s, labor-force growth exceeded one percent annually, but the Bureau of Labor Statistics projects growth of only about 0.4 percent annually⁠ as population growth slows and the country ages. Meanwhile, CBO’s economic projections⁠ place sustainable real GDP growth at about two percent, falling below that rate over the longer term. With little expansion in the number of workers, reaching 7.3 percent would require roughly five additional percentage points of economy-wide productivity growth — not for one recovery year, but repeatedly. Nothing in modern American economic history supports such an assumption.

Using the same assumptions underlying the 7.3 percent estimate — an initial debt-to-GDP ratio of 125 percent, an average effective interest rate of roughly 3.43 percent, and a primary balance of exactly zero every year (meaning the government collects enough revenue to cover all spending except interest on the existing debt) — the outcomes map out as follows. 

Artificial intelligence does not close the gap. AI might make the economy 5 or 10 percent larger over a decade, which would be enormously valuable, but a one-time increase in the level of productivity is not the same as adding five percentage points to its growth rate every year. CBO’s central estimate⁠ is that AI-related productivity gains will add about 0.1 percentage point to annual economic growth. An OECD analysis⁠ estimates that AI could add approximately 0.4 to 1.3 percentage points to annual labor-productivity growth in highly exposed economies under different adoption scenarios. At the skeptical end, Daron Acemoglu estimates⁠ that advances in AI will produce a cumulative total-factor-productivity gain of no more than about 0.66 percent over ten years.

Suppose we adopt an exceptionally bullish estimate and assume AI adds 1.5 percentage points to annual productivity growth. Combined with labor-force growth of approximately 0.4 percent and the economy’s existing productivity trend, the United States might sustain real growth of 3.5 to 4 percent. That would be an economic triumph, yet it would still be barely half the rate required by the debt arithmetic. Reaching 7.3 percent would require AI to produce several times even the bullish estimate every year, economy-wide, with near-immediate adoption and few offsetting disruptions.

Firm-level AI improvements also do not aggregate mechanically. Making a programmer, analyst, or customer-service representative 20 percent faster at one task does not make the worker, firm or economy 20 percent more productive. That task represents only part of the job, the job only part of the firm, and the firm only part of GDP, while bottlenecks elsewhere remain. General-purpose technologies require complementary investment, organizational redesign, worker training, and new infrastructure. Electricity and computers produced immense benefits, but their economy-wide effects diffused over decades rather than appearing instantly.

The same productivity J-curve may apply to AI. Investment in chips, data centers, software and electricity can surge long before measured productivity follows. AI is extraordinarily capital- and energy-intensive, requiring semiconductor plants, servers, transmission lines, power generation and cooling systems. Those investments must be financed, and the federal government is competing for the same pool of savings.

According to CBO’s 2026–2036 budget outlook⁠, the federal deficit will equal 5.8 percent of GDP in 2026 and rise to 6.7 percent by 2036, compared with a 50-year average of 3.8 percent. Debt held by the public is projected to climb⁠ from approximately 101 percent of GDP in 2026 to 120 percent in 2036. Persistent borrowing near 6 percent of GDP during an expansion is not cyclical stabilization; it is structural absorption of capital.

CBO’s analysis of the 2025 reconciliation legislation offers a useful indication of the resulting crowding-out. The agency estimated that the additional federal borrowing would reduce private investment by $440 billion over 2025–2034⁠, an average of approximately ten cents for every additional dollar borrowed. That coefficient is not an immutable law and will vary with economic conditions, monetary policy, and the composition of legislation. The underlying mechanism is nevertheless straightforward: capital used to finance government consumption cannot simultaneously finance housing, factories, equipment, research, and the complementary investments required to diffuse AI.

The fiscal burden also extends beyond current tax receipts. CBO projects that federal outlays will equal 23.3 percent of GDP in 2026 and rise to 24.4 percent by 2036⁠, with an increasing share devoted to Social Security, Medicare, and interest rather than infrastructure or other investments that might increase productive capacity. Interest expense is especially damaging because it purchases no new public service or productive asset; it is the current fiscal cost of past consumption. As debt reprices, higher interest payments enlarge deficits, additional deficits require more borrowing and greater borrowing can increase term premiums and future debt service. Faster GDP growth would help the denominator, but the interest bill would continue repricing in the numerator.

Other fiscal impediments compound the problem. The combined employer-employee payroll-tax rate has risen from approximately 12.3 percent in 1980 to 15.3 percent today, as shown in the Social Security Administration’s historical tax-rate tables⁠. That increase enlarges the wedge between what employers pay and workers receive at precisely the time an aging population is slowing labor-force growth. Tax-code complexity also consumes labor and capital through recordkeeping, legal advice, restructuring, and compliance, while Social Security and Medicare contain enormous unfunded commitments that imply future taxation, benefit reductions or additional borrowing. Faster growth would improve federal revenue, but many government obligations rise alongside wages, prices, and healthcare costs. Washington cannot assume growth enlarges the tax base while leaving its indexed and politically protected commitments unchanged.

The regulatory state confronting today’s economy is also considerably larger than the one inherited by the Reagan administration. The Code of Federal Regulations⁠, which contains the general and permanent federal rules in force, has grown from approximately 100,000 pages around 1980 to roughly 190,000 pages today. The annual Federal Register, which is a flow measure containing proposed and final rules, notices, and other administrative material, reached 106,109 pages in 2024⁠, compared with 87,012 pages in 1980. Page counts are imperfect because a page can contain either a technical correction or an extraordinarily costly mandate. Nevertheless, the accumulated stock represents more permits to obtain, reports to file, lawyers to consult, and regulatory risks to price before capital can be committed. AI may help companies complete the paperwork more efficiently, but it does not make the underlying restrictions disappear.

Historically high tariff barriers create another contradiction. The Budget Lab at Yale estimates⁠ that the average statutory US tariff rate now stands near 11 percent, with scheduled increases placing it on course to reach approximately 11.8 percent by the end of 2026. Tariffs raise the cost of imported machinery, components, and intermediate goods, including many inputs required for the AI buildout. A Federal Reserve analysis⁠ finds that higher tariffs raise the relative price of capital and consequently depress US investment.

Semiconductor equipment, servers, cooling systems, transformers, and electrical components belong to complicated international supply chains. A government cannot plausibly assume the rapid and nearly frictionless diffusion of a capital-intensive technology while simultaneously taxing its inputs, deterring investment, and forcing businesses to reorganize production around political boundaries. Tariffs may redistribute output toward protected industries, but redistribution is not productivity growth.

The United States can grow faster, and AI, deregulation, tax simplification, and fiscal reform could lift productivity appreciably. Yet CBO’s long-term outlook⁠ projects average real potential GDP growth of only about 1.7 percent over the next 30 years, compared with 2.4 percent during the preceding 30 years. Asking this economy to produce sustained growth of 7.3 percent means demanding an additional growth impulse larger than the entire Reagan expansion while assuming away the deficits, interest costs, and political constraints that created the debt problem. AI could produce the greatest productivity boom since electrification and still fail to rescue the federal balance sheet.

The issue at hand, then, is not that faster growth would fail to help. It is that the growth required to solve the growing debt problem in a timely manner itself bears little resemblance to anything the mature US economy has sustained historically. And even the above calculations grant Washington extraordinarily favorable assumptions: no primary deficits, no further fiscal deterioration, a stable effective interest rate, and decades in which the benefits of growth are not converted into additional spending. Against an aging population, slowing labor force growth, rising debt service, enormous unfunded commitments, and a heavier fiscal and regulatory burden, sustained 7.3 percent real growth is not a plausible debt strategy. It is what remains after every difficult political choice — spending restraint, entitlement reform, taxation, and fiscal discipline — has been assumed away. 

Starting in fall 2027, the University of Michigan’s College of Literature, Science, and the Arts, the largest of its 19 colleges, will hide letter grades from first-semester transcripts. Freshmen will still earn grades and receive feedback, but outsiders will see only a “P” for pass or “NC” for no credit. Note the euphemism: not Pass/Fail, but Pass/No Credit, presumably to cushion even the vocabulary of falling short. The university says the policy will help students acclimate and “curb the mental health crisis” among college students. The intention sounds noble, but the economics suggest it will backfire on the very students it aims to protect. 

The trouble becomes clear through a concept economists call signaling. In any market where one side knows something the other side can’t observe, transactions depend on credible signals. A job applicant knows whether she is diligent, capable, and quick to learn, but an employer cannot see any of that directly. A college degree has always served multiple purposes. It is, we hope, an education. But it is also a signal: a costly, hard-to-fake indicator of ability and work ethic. The reputation of the institution, the rigor of the major, and yes, the GPA all transmit information that employers cannot gather any other way at reasonable cost.

Cost is the operative word here, because the flip side of signaling is what economists call search costs — the time, effort, and money buyers and sellers spend finding each other and identifying good matches. Employers sifting through thousands of applications are desperate to lower those costs. This is why so many firms concentrate recruiting on a short list of campuses. Oracle’s celebrated “Class Of” sales program, for example, built its pipeline around nonstop recruiting at a core group of roughly 30 universities, big state schools like Ohio State and North Carolina alongside privates like Georgetown and Baylor.

Is that because Oracle dislikes students everywhere else? Of course not. It’s because past hires from those schools performed well, alumni networks make outreach efficient, and a known curriculum makes credentials easy to interpret. Target-school recruiting is search-cost economics in action. A reliable signal lets employers find talent cheaply, which benefits the students who carry that signal.

The whole point of a transcript is differentiation. When employers can distinguish exceptional students from adequate ones, they can hire the best fit, and the credential retains value for everyone who earned it. Michigan’s policy deliberately degrades that signal. And here is the crucial insight the policy’s designers seem to have missed: when you muddy a signal, the demand for information doesn’t disappear. It migrates — usually to proxies that are far less meritocratic than grades.

Medicine has already run this experiment and seen the perverse results. In 2022, the US Medical Licensing Exam Step 1, long the great equalizer of residency applications, switched to pass/fail reporting. Surveys of residency program directors across specialties found that most opposed the change and expected to lean more heavily on medical school prestige, research output, letters, and personal connections to sort applicants. Researchers warned the shift could paradoxically disadvantage students from less prestigious and less wealthy institutions, precisely the students the change was supposed to help. Diligent medical students naturally responded to the new environment, reporting that they now needed more research publications and extracurricular credentials to stand out. 

When one signal is stripped away, students rationally invest in costlier and less accessible ones. A test score can be earned by anyone with a library card and some discipline. A research pipeline and a well-connected mentor require a lot more than just raw knowledge. 

The timing makes Michigan’s move stranger still. A’s are already the most common grade in American higher education, and some elite universities award A-range grades roughly 80 percent of the time. The grading signal is compressed enough as it is. Compress it further, and employers will simply continue to shift to their own assessments, referral networks, and raw school brand, making the Michigan degree itself worth less — for high performers and strugglers alike.

We don’t have to speculate about how this ends. Johns Hopkins ran a “covered grades” policy for first-semester freshmen from 1971 until it abandoned the experiment with the class entering in 2017. Its own deans explained why: faculty found that covered grades “delay development of study skills and adaptation to college-level work.” Worse, the policy penalized students who performed well, and employers and graduate schools neither understood it nor welcomed it. The university ended nearly five decades of experimentation based on its own assessment of the evidence. The wave of schools that unceremoniously retired COVID-era pass/fail grading reached the same conclusion.

None of this dismisses the mental health struggles of today’s students. But the answer to a crisis of fragility is not to blur the mirror; it is to teach students to metabolize honest feedback while the stakes are still low. 

Grades that differentiate are not the enemy of student wellbeing. They help make a degree worth earning and give a talented kid from anywhere a way to signal what he can do.

Economist Thomas Sowell once quipped, “The first lesson of economics is scarcity: There is never enough of anything to satisfy all those who want it. The first lesson of politics is to disregard the first lesson of economics.” And, on Sunday evening, August 15, 1971, President Richard Nixon and his Camp David advisors curated a museum-grade artifact of the second lesson for all the world to see and suffer its consequences. 

While economic in nature, the speech was titled, “The Challenge of Peace” in reference to the US troop drawdowns in Vietnam. Its central focus was to explain Nixon’s “New Economic Policy.” In the aftermath of the speech and the policy choices that followed, the plans were more aptly named, “The Nixon Shock.” In the weeks following the speech, the administration unleashed a tidal wave of new government intervention into the economy. These measures have become a masterclass in the consequences of governing officials ignoring the lessons of economics, throwing off the restraints of market discipline, and crafting political promises that defy the laws of economics. 

The Context

A title like, “The Challenge of Peace” implies that economies fare better in the fog of war. This sentiment has been called, “Military Keynesianism” and refers to the idea that with elevated spending on armaments comes increased employment along with rising laborer income, followed by a surge in consumer spending. The outcome is a buoyed economy. 

The administration had imbibed this view of war spending as Nixon implied the end of the conflict would give way to the so-called “Challenge of Peace.” He clearly articulated this Keynesian doctrine declaring, “America today has the best opportunity in this century to achieve two of its greatest ideals: to bring about a full generation of peace, and to create a new prosperity without war.” This raises an obvious question: Why is war associated with prosperity? Further, one may ask: How did peace come to be viewed as a threat to wealth? 

The answers lie with Keynes himself who noted that the path to improving economic conditions didn’t require a novel approach, but could be learned from the lessons of old. In his 1936 General Theory of Employment, Interest, and Money he pointed his readers to the virtues of public expenditure, recounting that “Pyramid-building, earthquakes, even wars may serve to increase wealth, if the education of our statesmen in the principles of the classical economics stands in the way of anything better.” Some of his disciples protest the use of this quote, downplaying the big-spending implications of Keynes’s statement. But, the point here isn’t ever-growing government expenditure. Rather, it’s the inordinate emphasis on aggregate demand and consumption as the driver of healthy, growing economies, eschewing the positive role that thrift, saving, investment, and capital accumulation play that is at the core of this sentiment. For Keynes and for Nixon, the point is that government expenditure, intervention, and policymaking are required to truly ensure a growing economy.

Three Promises

Nixon’s address quickly moved to describe his aims. “We must create more and better jobs; we must stop the rise in the cost of living; we must protect the dollar from the attacks of international money speculators.” In one sense, the assertion that these three goals can be met through political means is nothing unusual. They sound like the campaign promises of every person either running for or already in office. What is noteworthy is that the context presumes that these will be more difficult in a peacetime economy and that more, not less, government interference is the pathway to achieving these goals after the cannons have gone silent. Nevertheless, Nixon’s administration would give it their all. Of course, the “we” he referenced wasn’t the American public, but rather his own administration, attempting to engineer their desired outcomes through the levers of government power. 

Each of Nixon’s promises was tied to a policy lever. Jobs would be improved via fiscal measures, regulatory moves would apply to prices in the market, and monetary policy would be used to rescue the dollar. What Nixon didn’t say, and perhaps didn’t grasp, is that these interventions work against one another. Fiscal spending on favored projects drives up prices and wages in those markets, inviting calls for price controls. Those controls, in turn, were thrown into further disarray when the US dollar was unmoored from gold.

It’s a classic case of one intervention breeding the conditions and calls for another.

Three Policy Interventions

The August 15 speech provided an overview of several policy interventions and the days ahead would reveal even more. To better understand the nature of the interference, it’s useful to categorize the measures into fiscal, regulatory, and especially monetary policy. 

Nixon would first issue fiscal policy decrees in the broadcast. Chief among them was “a 10-percent Job Development Credit for one year, effective as of today, with a five-percent credit after August 15, 1972.” Further, he proposed a repeal of the seven-percent excise tax on automobiles. Nixon’s stated goal mattered more than the mechanics: higher aggregate consumption. This is a rationale right out of Keynes’s framework, which he reiterated: “This increase in consumer spending power will provide a strong boost to the economy in general and to employment in particular.” To what extent the Camp David meeting discussed the ways in which this additional spending would drive prices higher isn’t completely clear. If they did, the regulatory channel was the blunt instrument they planned to use. And use it, they did.

With the regulatory interventions of wage and price controls, Nixon proclaimed the content of Executive Order 11615: “I am today ordering a freeze on all prices and wages throughout the United States for a period of 90 days.” In the Camp David meeting that preceded the announcement, both Paul Volcker and George Shultz voiced concerns about these moves. Regardless, they were overruled by both Nixon and Fed Chair Arthur Burns. Burns, it is said, desired the President’s approval and enthusiastically supported the New Economic Plan. The swaggering Texan, John Connally, was personally admired by Nixon and was largely responsible for pushing the plan through. Given these interpersonal dynamics, wage and price controls went into the speech and into effect. Later phases created a Pay Board and a Price Commission that would assign prices to be controlled. While the price freeze enjoyed initial popular support, it wouldn’t take long before the laws of economics would reverse that sentiment.

Despite these dramatic policy initiatives, it was Nixon’s directive to Treasury Secretary John Connally to suspend “temporarily” the convertibility of US dollars into gold that earned the announcement’s greatest infamy. Foreign governments had been able, under the Bretton Woods agreement of 1944, to present dollars and redeem them at $35 for an ounce of gold. 

On the fiftieth anniversary of the address, economist Alex Pollock neatly summarized the speech and its impact. He lamented that Americans responded to the seismic shift in the global economic landscape with complacency and apathy. Standing in stark contrast to Pollock is Jeffrey Garten, who regarded the radical departure from the Bretton Woods system and the closing of the gold window as necessary and wise. Yet even he recognized that while “It was a good political move by Nixon; it was really bad for the Fed’s reputation.” While the central bank’s reputation may have been sullied in the intervening years, those harmed by the positive, persistent inflation it is responsible for have fared even worse.

The Immediate Reactions

The reaction to Nixon’s speech was swift, and some of the most prominent voices directed their ire toward the introduction of wage and price controls. Writing for the New York Times on September 4, Murray Rothbard fumed, “On Aug. 15, 1971” he announced, “fascism came to America. And everyone cheered.” His concern was over the relative silence on the topic of price controls as much as the policy itself, exclaiming, “The main horror of the wage-price freeze is that this is totalitarianism, and nobody seems to care.”

While they certainly diverged on multiple issues, Rothbard found an ally in Milton Friedman, whose Newsweek column from August 30 explained, “I regret exceedingly that he decided to impose a ninety-day freeze on prices and wages.” Individual prices would keep moving, he argued. But they would be concealed in discounts, poor service, and lower quality. Meanwhile, compensation would go up in other ways through perks and overtime. 

The objections to the New Economic Policy weren’t confined to free-market defenders. George Meany, the president of the AFL-CIO, told Time magazine that the plan “takes some money away from Government employees and some more from the poor, then gives it to business. It’s Robin Hood in reverse.” 

That October, Manuel Klausner of Reason raised his voice in protest. Speaking of the wage and price controls, he remarked, “In the application of this ‘wishful thinking’ approach to public policy, Americans of all political complexions are supporting the President in his wage-price freeze. They do so because Nixon has done something bold, without regard to whether the action will help or aggravate the problem.” 

In the same piece, Klausner exposed “the real source of inflation” as “monetary expansion, pursued by the Federal Reserve Board in issuing new, unbacked dollars into the economy.” Ludwig von Mises’s view on the matter from his Theory of Money and Credit explained that “Inflation is the fiscal complement of statism and arbitrary government…a cog in the complex of policies and institutions which gradually lead towards totalitarianism.”

The Legacy of the Nixon Shock

Fifty-five years is long enough to grade all three promises. Unemployment stood at 6.1 percent when Nixon spoke and hit nine percent in May 1975. Inflation was not tamed either. By March 1975, consumer prices were rising at 10.3 percent while unemployment sat at 8.6 percent, a combination the prevailing Keynesian macroeconomics had ruled out and that Milton Friedman had warned was coming. The wage and price freeze didn’t prevent rising prices. Instead, these interventions hid and postponed them. When the controls expired at midnight on April 30, 1974, the suppressed increases arrived at once, and Blinder and Newton later concluded that decontrol accounted for most of that year’s double-digit surge. Only the third promise was kept, and that has been the most damaging legacy of the Nixon Shock.

Nixon’s third promise — to save the dollar from attack — failed spectacularly, though the US Federal Reserve system (not “international speculators”) became its primary assailant. The requirement to convert gold imposed a technical restraint on federal spending and limited inflation, because foreign official holders could demand gold. That constraint died with the dollar’s convertibility. Among its long-run consequences are a shift toward fiscal dominance and endless national debt, both of which are now permanent features of the US economy. No political will appears prepared to change course.

Critics rightly regard the temporary-turned-permanent suspension of the dollar’s convertibility into gold as a ruinous decision. They’ve taken note of the dramatic ethical, economic, and cultural shifts that policy choice induced, not to mention the loss of purchasing power over time that stemmed from the announcement and its execution.

Thomas Sowell’s second lesson has held true for five and a half decades. Nixon disregarded the laws of economics, and in the short run, it won him 49 states in the 1972 election. The politics worked perfectly; the economy fared less well. What remains in the long shadow of the Nixon Shock is a monetary order that enables massive federal and consumer debt and a lost national imagination of what sound money even looks like.

While the situation is dire, hope remains. Calls for a return to sound money haven’t fallen completely silent, and as the monetary crisis deepens, something has to give. If past events are any guide, political ambitions will eventually collide with the laws of economics.

How does Paris get fed? Frédéric Bastiat famously explained in Economic Sophisms (1845) how market exchange reliably provisioned the (then) million people of Paris with agricultural produce from the countryside that they were able to enjoy “peaceful slumbers…not disturbed for a single instant….” 

In stark contrast, Bastiat predicted that there would be “much suffering within the walls of Paris — poverty, despair, perhaps starvation…” if a presumptuous minister decided to replace the market with their own decision-making for what “should be produced, transported, exchanged and consumed….”

We can appreciate Bastiat’s observation about the miraculous functioning of the market even more when we look at a time when Paris actually went hungry.

France’s Experiment in Forced Provisioning

Leading up to the French Revolution in 1789, France found itself in a precarious fiscal position. It had accumulated crippling debt from the Seven Years’ War and its support for the American colonies during their War of Independence. This heavy debt burden left the kingdom woefully unprepared to withstand the economic shocks that followed.

Economic shock came in the form of the eruption of the Laki volcano in Iceland in 1783, which contributed to climatic disruptions and poor harvests in France in the years that followed. These problems were compounded by a severe hailstorm in 1788 that devastated crops and livestock, raising prices, especially for bread, which was the main staple at the time. Increased demand for grain to support the military and its draft animals, when France declared war on Austria in 1792 (followed by war with Great Britain), pushed prices even higher. When France implemented a draft that drew agricultural workers into the military and then began requisitioning agricultural horses and wagons, the supply of grain was further reduced.

Henry Bourne, writing a two-part article in the Journal of Political Economy in 1919 about this era, notes that in the fall of 1792, “One of the longest and most important debates [of the National Convention] was upon the best method of insuring a supply of bread at a reasonable price.” This was a problem that especially loomed over the major city of Paris. Bourne argues that the threat of starvation fueled not only the French Revolution, but the mob mentality and interventionism that followed. As Bourne writes, “People, in a panic because they do not know where next week’s bread, meat, and coal are to be found, are not likely to apply the rules of evidence to every rumor.” The French clamored for state intervention on the “fixed idea that dearness and scarcity were the result of speculation” rather than underlying economic conditions.

Transporting grain became a risky enterprise as mobs sprang up to seize it, further decreasing the supply of grain to Paris. To add insult to injury, the transportation of grain to major cities was further suppressed by inflation, which made the issued assignats unappealing to country farmers.

The National Convention and the Paris Commune turned to “a series of ventures in price-fixing and food control” to solve the problem. Bourne notes that “price-fixing became one of the characteristic features of the Reign of Terror.” In 1793, the National Convention imposed a maximum price, or what economists today call a price ceiling, on grain. In a futile attempt to warn of the potential consequences, Pierre Vergniaud, who later that year was executed under the accusation of the radical Jacobin Maximilien Robespierre, urged that “If you destroy commerce, you decree famine.”

French attempts to deny the economic reality reflected by market prices, by attempting to suppress them, resulted in severe shortages and long lines. 

“The scheme not only failed to encourage the farmer, it threatened him with ruin,” Bourne noted. “His expenses for tools, draft animals, and wages were steadily rising, but his profits were cut down, with the prospect of further losses every succeeding month.”

But politically savvy politicians blamed these disappointing outcomes on greed and used them to justify further interventions backed by the threat of imprisonment and death. The National Convention created a Commission of Subsistence and Provisioning to be the “Food Director” of France. Swarms of officials were commissioned to survey farmers’ inventories and fields in an attempt to enable government officials to redirect grain to where it was needed. Rules were issued detailing the precise percentage of bran that millers could extract and even dictated the one type of bread that would be allowed. A bread card rationing system was created but was abused as families failed to report the death of family members to continue receiving the same allotment. Bourne reports that in 1794, rations fell to a single pound of bread for each laborer and three-fourths of a pound for others, and that “it was practically impossible to obtain meat, butter, eggs, oil, and other articles of food commonly regarded as necessary,” as price ceilings were extended to these items as well.

Officials attempted to appeal to the higher motives of the people, telling them that they were “brothers and that they should help” even if it meant turning over the grain needed for their family, for storage for future use, or even the seed necessary to plant the next year’s crop. This proved insufficient, however, so the officials eventually turned to force.

Bourne writes that “An attempt was made to provide for Paris by compelling every farmer to furnish within twenty-four hours sixteen bushels of wheat for each hide of land.” French dragoons were soon released upon the countryside to “scour the country” for food and to arrest any suspected hoarders. As Bourne notes, “merchants were thrown into prison upon the accusation of the first intriguer who shouted out his suspicions at a popular society. The local revolutionary committees acted as judges without appeal. To escape a similar fate the other merchants hastened to dispose of their merchandise and did not restock.”

If a farmer had grain in the field but no laborers to gather it, laborers were drafted by local authorities. Millers and bakers in Paris were drafted and forbidden from abandoning their work without sufficient notice. Eventually, the National Convention even attempted to extend maximum price laws to the wages of laborers as well.

Despite the substantial and systematic efforts of the National Convention and the boards of the separate departments of France, Parisians and much of the rest of France, went hungry under government control. In Cahors, people “were so poorly fed that they were falling in the street from sheer weakness.” In Nord, “grain of every sort disappeared from the markets…” The people of Paris would stand “with famished eyes” for hours in line “only to be told when their turn came that nothing was left.” As Bourne concludes, “If the maximum laws were meant to save the common people from want and wretchedness, they failed.”

Bastiat’s Market-Fed Paris

It is unclear whether Bastiat, when writing in the 1840s about the remarkable way in which free markets coordinated the efforts of countless individuals to feed Paris every day, was implicitly contrasting this outcome with the French Revolution’s earlier rejection of market exchange. He almost certainly knew that revolutionary France had experienced severe food shortages and government price controls, making the contrast between the two episodes striking even if he did not intend it.

As Bastiat stressed, government officials could not replace the information and incentives provided by market prices. Orders, price controls, requisitions, forced sales, and even forced labor failed to feed Paris. When the National Convention tried to do so, it produced exactly the outcome Bastiat had predicted more than half a century later: not peaceful slumbers, but long lines, empty markets, and widespread hunger. Notably, these outcomes began to recede as the Commission was abandoned and markets were restored.

I was only a few days into my role at AIER when Pete Earle penned “$34 Trillion and Climbing” in January 2024. Six months later, he published “$35 Trillion—and Counting” on July 31, 2024. Now, just two years and 18 days later, gross federal debt passed the $40 trillion mark on August 18, 2026. Although the debt held by the public (gross federal debt minus intragovernmental holdings) is “only” about $32.3 trillion, both measures indicate a clear warning: America’s fiscal institutions need serious reform. 

Perhaps more concerning than the number itself is how little attention the milestone received outside those already interested in the subject. That indifference is perhaps unsurprising. For the average American, daily life appears (at least on the surface) to have changed relatively little, despite doomsday predictions that frequently accompany national debt headlines. Historic debt markers come and go, and somehow the sky has yet to fall and we all must still get up and go to work in the morning. 

The rising debt nevertheless deserves attention, because the underlying fiscal trajectory threatens our standard of living and is compounding the affordability pressures Americans already face. Those who care about the national debt, however, should avoid the doomsday rhetoric. Every uneventful milestone we pass makes exaggerated warnings easier to dismiss and the case for serious reform harder to sustain. 

Apocalypse Now? 

Nothing economically decisive happened when the gross debt moved from $39.99 trillion to $40 trillion. There is no magic number at which the U.S. suddenly becomes insolvent. The Congressional Budget Office has long acknowledged that no identifiable debt-to-GDP “tipping point” can reliably predict whether or when a fiscal crisis will occur. 

Debunking an imminent catastrophe should not be confused with defending the status quo. The relevant question is whether current policy leaves the country more prosperous and financially capable a decade from now. CBO projects that debt held by the public will rise from 101 percent of GDP in 2026 to 120 percent in 2036, exceeding the postwar record. Over the same period, the annual federal deficit is projected to grow from $1.9 trillion to $3.1 trillion. 

Those figures reflect a structural imbalance. Under current law, federal spending is projected to remain persistently higher than federal revenue. Economic growth may narrow that gap, but CBO does not project growth sufficient to close it. 

This is a very different concern from imminent bankruptcy. A fiscal crisis might never arrive on a predictable schedule. The more probable danger is a gradual erosion of economic growth, household purchasing power, and the government’s freedom to respond to future challenges. 

As Pete himself wrote back in the halcyon days of 2024 and a $34 trillion national debt, “Too much credibility has been squandered on the futile endeavor of predicting fiscal tipping points.” Instead, he recommends, and I concur, that the better strategy is explaining the effects of unsustainable debt on the average person. 

What $40 Trillion Actually Means for You 

The national debt did not single-handedly make housing, cars, groceries, or healthcare expensive. Prices and borrowing costs reflect monetary policy, relative price changes, and productivity among other factors. 

Still, persistent federal borrowing can intensify affordability problems through several channels. 

First, the federal government competes with private borrowers for capital. When the Treasury issues more debt, some savings that might otherwise finance homes or business expansion instead are crowded out to finance government spending. As Nobel Prize-winning economist James M. Buchanan stated, this is “in effect chopping up the apple trees for firewood, thereby reducing the yield of the orchard forever.” Greater federal borrowing can put upward pressure on interest rates, although it is only one of many forces affecting credit markets. 

Recent events illustrate both the connection and its complexity. On August 19, the Treasury announced that it would at least double the size of its buybacks of 10- to 30-year securities, from $2 billion to $4 billion per operation. The announcement was followed by a decline in long-term Treasury yields, temporarily relieving some of the pressure that high government borrowing costs place on mortgages and other private credit. 

The buybacks did not reduce the national debt because that was not the goal. They were intended to improve liquidity in parts of the Treasury market, but they may also complicate monetary policy. If Treasury actions push down long-term borrowing costs while the Federal Reserve is trying to restrain inflation, fiscal debt management and monetary policy can work at cross-purposes. 

At the margin, higher government borrowing can make mortgages, car loans, and business credit more expensive. For families already struggling to purchase a home or replace a vehicle, even a modest increase in financing costs matters. 

Second, weaker private investment can slow wage growth. Businesses increase worker productivity by investing in technology, properties, and employees. When less capital flows toward those investments, workers produce less than they otherwise would and their compensation grows more slowly. That cost is nearly impossible to observe directly. It appears as a business that does not expand, a job that is never created, or a raise that never materializes. 

Third, persistent deficits can add inflationary pressure under some economic conditions. Debt does not automatically produce inflation, and $40 trillion does not mean hyperinflation is around the corner. It does, however, increase the temptation for Congress and the White House (regardless of which party is in power) to pressure the Fed to accommodate expansive fiscal policy by purchasing Treasury debt. 

The debt’s clearest present cost, however, appears right in the federal budget. Net interest payments cost taxpayers more than $970 billion in fiscal year 2025. Put another way, for every dollar the federal government spent in FY 2025, 13.8 cents went to net interest payments. That’s more than defense spending (12.7 cents) or income security programs (5.7 cents). 

Sources: Tables 1–1, 3–3, and 3–7 in The Budget and Economic Outlook: 2026 to 2036. Congressional Budget Office. Image via Wikimedia Commons.

Those interest payments highlight a serious budgetary trade-off. A dollar spent servicing past debt cannot simultaneously finance an agency, reduce a tax, or prepare for the next emergency. 

For the average American, that does not mean receiving a bill labeled “national debt.” It means future lawmakers will have less room to fund core services of government, reduce taxes, or respond to new priorities. 

They will eventually have to choose between spending cuts, higher taxes, higher inflation, or some combination of the three. They arrive through a slightly more expensive mortgage, slower wage growth, higher taxes, or a weaker dollar. None resembles an apocalypse. Together, however, they can materially lower Americans’ living standards. 

Pain Delayed Is Pain Multiplied 

Government must be able to borrow during wars, recessions, and genuine emergencies. The problem becomes financing recurring regular commitments and structural deficits with debt. 

The unprecedented level of debt does not automatically prevent the government from responding to another crisis, but it makes any response more expensive and adds to an already large net interest burden. Lawmakers and financial markets might also become less tolerant of aggressive emergency borrowing. 

Fiscal space matters most when the country suddenly needs it. Using that space to finance routine deficits leaves less room for the unexpected. 

Delay also changes who bears the cost. Current voters receive the benefits of government spending and tax reductions while future taxpayers, whether ourselves in the future or future generations, inherit the obligation to restore balance. 

The longer policymakers wait to stabilize the debt, the larger the eventual tax increases and spending cuts must be. The consequences of delay will also fall disproportionately on younger and lower-income Americans. 

Interest compounds financially and delays compound politically. Every year without reform creates new beneficiaries, new expectations, and new commitments. Policies that could have been adjusted gradually become more difficult to change. 

Early reforms can be phased in while late reforms are more likely to be abrupt. They arrive when interest costs have already narrowed the available choices and when households have less time to prepare. 

That is why the appropriate alternative to complacency is not panic-driven austerity. Sudden tax increases or indiscriminate spending cuts can result in disruption and political backlash. The goal should be a credible path that begins soon, proceeds at a steady pace, and stabilizes debt relative to the economy. 

The longer reform is postponed, the more disruptive it is likely to become. 

Toward a New American Fiscal Constitution 

A new fiscal constitution means durable rules governing how government makes financial commitments, pays for them, departs from ordinary constraints during genuine emergencies, and then returns to them once the emergency subsides. 

The status quo divorces those decisions. Congress authorizes spending and taxes first, then confronts the resulting borrowing through conflicts over the statutory debt ceiling. This limit, however, fails to control fiscal policy. Elected officials threatening to not raise the debt limit merely risks default, rather than affecting commitments already made. 

An effective fiscal constitution starves the beast of both revenue and responsibility. Fiscal rules such as a Taxpayer Bill of Rights (TABOR), Swiss Debt Brake, or a BRAC-style commission for federal spending could help constrain how much a government taxes and spends. Limiting the government’s scope of authority helps prevent policymakers from finding workarounds to budget rules through regulation or accounting gimmicks. 

Pessimism, however understandable, is unproductive. Americans went to work the morning after the debt crossed the $40 trillion mark. We will probably do the same when it reaches the current $41.1 trillion limit. The costs will instead emerge gradually through higher interest expenses, tighter budgets, weaker investment, and less capacity to respond to crises. 

The danger is that every uneventful milestone will make the next trillion dollars seem normal. The sky does not need to fall for the debt to matter. 

By the mid-2000s, BlackBerry seemed untouchable. Its compact QWERTY keyboard and always-connected email transformed a pocket-sized device into an indispensable corporate tool. BlackBerry did not invent the smartphone, but it helped make mobile communication modern, portable, and mainstream. In this industry, consumers were content with BlackBerry — until they tasted a different fruit. 

Apple introduced the iPhone in 2007. With hardly a button in sight, Steve Jobs pushed BlackBerry aside and redefined the smartphone industry for the better. The iPhone shifted competition away from physical keyboards and corporate email toward touchscreens, applications, and an integrated digital ecosystem. 

The stock market recorded the consequences. BlackBerry shares reached a closing high of $147.55 on June 19, 2008. On July 17, 2026, they traded at approximately $9, about 94 percent below their peak. Apple, meanwhile, reached a record closing price of $333.74 on July 17, valuing the company at nearly $4.9 trillion.  

Simply put, Apple transformed everyday life while BlackBerry failed to keep up. More importantly, market forces did not protect the incumbent merely because it had established itself first. Consumers handed the crown to the company that better understood where they were going next.

Pennsylvania Avenue

Today, OpenAI may be approaching its own BlackBerry moment. OpenAI brought generative AI to the masses with ChatGPT in 2022, creating excitement around capabilities that had previously appeared inaccessible to ordinary people. But OpenAI’s early dominance did not prevent competition. Anthropic, founded in 2021 by Dario and Daniela Amodei alongside five other former OpenAI researchers, has emerged as one of its most serious challengers. 

On June 1, 2026, Anthropic confidentially filed for an initial public offering. OpenAI followed one week later. Neither company has yet gone public, and OpenAI has not set a firm listing date.  Unlike the fair fruit fight between BlackBerry and Apple, OpenAI appears willing to pursue another route to success, one leading not through the marketplace, but through Pennsylvania Avenue. 

The Financial Times reported that OpenAI’s CEO, Sam Altman, had discussed giving a five-percent stake to the US government. Audaciously, not only does Sam Altman want to let in the leviathan, he has also proposed that other AI firms cede ownership. The administration asked OpenAI to delay the full public release of GPT-5.6, while a separate government order caused Anthropic to suspend access to Fable 5 and Mythos 5 temporarily. On June 10, 2026, Trump stated, “We are talking about giving back to the public and if we do that the public will become very rich.” 

The Trump administration has already extended the federal government’s tentacles into US Steel through a golden share and into Intel through roughly 10 percent of firm ownership. In an adjacent arrangement, the federal government receives 15 percent of the revenue from certain Nvidia and AMD chip sales to China. It is therefore not difficult to imagine the administration taking a five-percent stake in OpenAI or pursuing similar arrangements with other AI companies. Where Altman’s offer is voluntary, made by a company trying to ease its own political exposure and save itself from competition, Senator Bernie Sanders wants compulsion. He has outright called for 50 percent ownership of AI. “That is why I will soon be introducing the American AI Sovereign Wealth Fund Act,” writes Sanders, “This legislation would give the public a direct ownership stake in the largest AI companies in our country.” 

The Economics Don’t Work 

A sovereign wealth fund cannot be built on unprofitable firms. AI firms aren’t anticipated to turn a profit until 2030, and OpenAI itself has depended on private investors willing to finance a risky, unprofitable undertaking since its founding in 2015. The proposal’s second obstacle is valuation. Sanders estimates the fund would be worth USD 7 trillion at current AI valuations, but Mises’s subjective theory of value should remind the senator from Vermont that today’s market price is neither permanent nor guaranteed.

Nor does the fund create anything new. It simply redirects a claim on wealth that private investors already built through voluntary risk-taking. Murray Rothbard, drawing on Franz Oppenheimer’s distinction between the “economic means” and the “political means” of acquiring wealth, argued that only production and voluntary exchange expand the total stock of wealth. Seizing an existing equity claim is a zero-sum transfer, not an investment. A government fund modeled this way is not a sovereign wealth fund so much as a sovereign wealth transfer, moving equity from the venture investors who bore the risk since 2015 to a public that bore none of it.

This distinction matters because a valuation is not income, profit, or a cash dividend. How would that paper valuation generate checks for the American public? Beyond that, the proposal could also chill private investment. Why should private actors finance high-risk startups if the federal government intends to seize — perhaps more accurately, steal — half their equity once they succeed? The state has never grown an economy by owning one. 

Regulatory Capture, Updated

Intel’s stock has risen sharply since the government took ownership, and that appreciation is precisely the problem. It gives the regulator a direct financial stake in the outcome it is supposed to police impartially. Economist George Stigler warned that regulation often comes to serve the industry being regulated. Direct ownership now makes this even more complicated, as the regulator has become financially invested in the firm’s success and the firm now has to cater to political needs rather than market demands. 

Lawmakers are now sounding alarms over the consequences of direct ownership, or more precisely, they have become aware of its unpopularity. A recent CNBC All-America Economic Survey found that only 19 percent of voters considered it appropriate for the federal government to own part of US-based companies, while 49 percent considered it inappropriate. The structural conflict Stigler describes, in other words, is not just a theoretical risk. The public is already reacting to it. 

Let the Market Decide 

AI firms, whether OpenAI, Anthropic, or competitors that do not yet exist, should remain free from Washington’s ownership. Washington cannot credibly act as regulator and shareholder at the same time. Nor does Washington possess special knowledge about which AI company, model, or technical architecture will prevail. If the US government selects an AI champion, that company could become insulated from market forces in an industry that will help define the future.

The lesson of BlackBerry and Apple is not that OpenAI will lose or that Anthropic will win. The lesson is that nobody knows which company will succeed, and Washington should not decide.

An often-repeated line attributed to Nokia’s former CEO captures this uncertainty: “We didn’t do anything wrong, but somehow, we lost.” 

That is the unforgiving beauty of the market. A company does not have to do everything wrong to lose; sometimes, another company simply does something better. Government ownership threatens to distort that process by protecting today’s champion from tomorrow’s challenger. Washington should neither crown the Apple of AI nor preserve its BlackBerry.

That decision belongs to consumers.

Americans have spent the last few years watching prices climb faster than paychecks. Grocery bills, rent, insurance, car payments — the sting is real, and it shows up every month in the Consumer Price Index (CPI), the government’s official scorecard for inflation. When the CPI runs hot, it makes headlines. When it cools, politicians take a victory lap. They sometimes even warn about the dangers of deflation.

But here is a question nobody in Washington wants to ask: What if the CPI, even when calculated correctly, only tells half the story?

The CPI measures what households spend on goods and services they buy directly — groceries, gasoline, rent, haircuts. It does not measure the other big claim on household income: taxes. And taxes buy things, too. National defense, highways, public schools, regulatory agencies, entitlement bureaucracies — all are “consumed” by the public sector on our behalf and paid for by households, just not at a cash register. If the price of that government-provided bundle is rising faster than the price of the private bundle the CPI tracks, official inflation is systematically understating how much more expensive it is to live in America. That is not a rounding error. It is a structural blind spot, and it is not an accident. 

Why Government Consumption Is Different 

The reason traces back almost a century, to a habilitation thesis defended in Vienna in 1927 by a young economist named Gottfried Haberler (1900–1995) — later a towering figure at Harvard, and the teacher who set Paul Samuelson on the path to revealed preference theory. I wrote about Haberler’s contribution to index number theory in a 2024 working paper, and the argument is directly relevant here. 

Haberler asked what it even means to say “the price level went up 3 percent.” Economists had long used many competing formulas, of which two stand out: the Laspeyres index (pricing yesterday’s shopping basket at today’s prices) and the Paasche index (pricing today’s basket at yesterday’s prices). They rarely give identical results, and nobody had a principled reason to favor one — until Haberler showed that, under certain conditions, the two formulas bracket the true change in a consumer’s cost of living from above and below. Something like their average, the kind of compromise index statistical agencies actually use, then becomes a reasonable estimate of true inflation. 

“Under certain conditions” is doing a lot of work there. Goods must be available in identical quality across the periods compared. And crucially, they must be bought and sold voluntarily, on markets, by consumers freely choosing among alternatives within a budget. That second condition is the whole foundation of the argument Haberler proposed: Only because purchases reveal that consumers preferred the chosen bundle to every other one they could afford can we infer anything about their welfare from price and quantity data. Take away voluntary choice, and the logic collapses. This is the same insight Samuelson built revealed preference theory on a decade later. 

Apply that logic to government spending. Taxpayers do not choose to buy national defense or a regulatory apparatus the way they choose eggs. They are compelled to pay regardless of whether they value it at the price charged. There is no market transaction, no revealed preference, and therefore — by the theory’s own logic — no obvious way to fold the “price” of government-provided goods into a consumer price index that aligns with Haberler’s reasoning. Economists did not carelessly forget about government consumption when building the CPI. They excluded it because Haberler’s own framework abstracted from it. Inflation is hard to measure. It becomes even harder when goods and services are not bought voluntarily.

A Reasonable Exclusion With an Unreasonable Consequence

The exclusion of government-provided goods and services is defensible on narrow theoretical grounds. But it creates a real problem for anyone using the CPI as a stand-in for the true cost of living, because taxes remain a mandatory claim on household income whether or not economists can build a rigorous index number for what that money buys. If the price of the government-provided bundle is rising faster than the price of the private bundle, households are absorbing a growing burden that never shows up in the number the Federal Reserve targets and the media reports.

There is a reasonable proxy for that missing piece: total federal tax receipts. Since taxes ultimately cover the cost of whatever government buys, their growth offers a rough stand-in for the “price change” of public consumption.

Since 1995, the CPI has grown about 2.5 percent a year, while federal tax receipts have grown at roughly 5.0 percent — almost exactly double. That gap has been especially pronounced since the 2008 financial crisis and again since 2020, even after adjusting for the deep, temporary collapses in receipts during both recessions.

Building a Broader Cost-of-Living Measure 

How much does this matter to a typical household? The OECD’s Taxing Wages 2025 report puts the average American worker’s total tax wedge — income tax plus payroll contributions — at 30.1 percent in 2024. The Tax Foundation’s “Tax Freedom Day” calculation, which folds in federal, state, and local taxes of every kind, has put the average household’s overall burden in a similar 29–31 percent range for most of the past decade. A round 30 percent is a defensible estimate.

Using that weight, a broader cost-of-living measure would be:

Broader Inflation = 0.7 × CPI Growth + 0.3 × Tax Receipts Growth

Plugging in the 1995–present growth rates gives a blended rate of about 3.3 percent a year, roughly 30 percent higher than the CPI’s 2.5 percent alone. Compounded over three decades, that gap implies a household’s true cost of living has risen on the order of 20 to 25 percent more than official inflation figures suggest. If the average tax burden is closer to 40 percent, as some broader estimates of the total tax wedge suggest, the blended rate rises to about 3.5 percent — and the gap widens further still. 

None of this means the CPI is calculated incorrectly. Within the bounds Haberler laid out a century ago, it is arguably doing exactly what it was designed to do. The trouble starts when we forget those bounds exist and treat a measure of voluntary market prices as if it captured the full cost of living in a country where government now claims a third or more of household income.

1. Introduction: Why Sound Money Matters

Money is foundational to commerce and plays a central role in everyday life. We work for it, save it, invest it, and spend it. Yet most people know little about how money works, or how important good laws are for creating a monetary regime that promotes economic prosperity. The more people understand the nature and functions of money, the better they can hold their elected officials accountable for maintaining sound money.

Sound money preserves its purchasing power over time and may even increase in value as technology and productivity improve. This contrasts with bad money that loses its value rapidly as politicians create ever more of it to fund profligate government spending.

2. Money Is an Institution

Money is a kind of institution — something that operates according to written and unwritten rules. The institution of money has three key elements:

Money is an emergent market institution. There was no great monetary convention or social contract where everyone agreed on the content and worth of money. Governments often provide legal definitions of money, but even these tend to evolve over time in response to economic and social change.

Money is fundamentally a social institution. Money only works if other people accept it. Trying to pay with the wrong currency while traveling abroad, for example, often gets you nowhere.

Money is a legal institution. Money can be used to extinguish tax and debt obligations. Courts enforce contractual payments.

3. The Functions and Qualities of Money

Let’s consider three defining traits of money: it stores value, it is a unit of account or measure, and it is a commonly accepted medium of exchange. Economists have written at length about various qualities commodities need to carry out these three functions:

Portability: People want to be able to take their money (purchasing power) with them wherever they go.

Divisibility: People want to be able to make any payments, large or small, with precision. They want to be able to buy a stick of gum as well as a house with their money.

Durability: People don’t want their money to deteriorate or fall apart before they can use it.

Scarcity: Whatever commodity we use for money needs to be scarce enough to have value. Rocks, wooden tokens, plastic tokens, and the like would generally not be scarce enough to serve as money.

Besides helping us understand money today, these qualities also show how the institution of money developed historically. As human beings produced and traded over the millennia, commodities with these qualities emerged as money through millions of decentralized transactions and exchanges.

4. How Money Emerged from Markets

In ancient times, tribal or pastoral societies bartered — trading one good for another. This kind of trading is time-consuming and inefficient. People have to spend a lot of time searching for the right person to trade with and they must spend a lot of time negotiating.

The founder of Austrian economics, Carl Menger, wrote about the importance of “saleability” in the emergence of money. Some goods (including commodities like metals) are widely accepted while others (pottery or hats or maps) are less so. Many commodities have been used as money throughout history: shells, tobacco, salt, cattle, and of course precious metals. Over time, people strategically trade less saleable goods for more saleable goods.

The qualities that make good money, portability, durability, divisibility, and scarcity all correspond to the qualities that make goods saleable. As more trading took place, the most saleable goods emerged as mediums of exchange, or money. Not surprisingly, we see clearer systems or practices of money in urban and trade centers than in rural settings.

Gold and silver emerged as the best media of exchange across countries and over time. Though other commodities can, and have, functioned as money, for the past few thousand years, gold and silver (with other metals used for small transactions) were the main media of exchange.

5. Governments and the Temptation to Debase

Many norms and practices developed over the centuries to improve the institution of money. Some were market-driven, others were created by governments. Merchants developed weights, measures, scales, and standards of quality for money. Early mints and gold warehouses in Renaissance Italy were primarily privately owned.

But over the past four hundred years, national central banks have monopolized the creation of currencies. Governments have a long history with money. Rulers have often attempted to take advantage of existing monetary systems to manipulate money for their own ends.

The political tendency, when it comes to money, is to monopolize its creation and control. When the state issues coins, for example, and defines those coins as having a certain quality and quantity of precious metal, it also gains the power to cheat on the margins — to mint coins below its own stated standards and pass off the degraded coins as unchanged. This allows governments to increase their purchasing power by skimming off the top and making a greater quantity of coins with less of the valuable resource (such as gold) in each coin.

Coins containing less of the precious metal might become physically smaller and lighter as a result. Or the coins may remain a similar size or weight but have less valuable metals mixed into them.

This practice effectively taxes everyone who holds money because increasing the quantity of coins in circulation raises the overall price level and, conversely, reduces the purchasing power of all existing coins. This process — taxation via debasement — is known as seigniorage. It remains one of the oldest tricks employed by profligate governments to spend beyond their means.

6. Fiat Money and Inflation

Modern currencies no longer consist primarily of coins made of precious metals. Instead, they operate purely by fiat (authority of the issuer) and the currency’s value fluctuates based upon supply and the demand for that currency. Governments have little ability to increase market demand for their currency, but they can greatly affect the supply of their currency. The allure of “free” additional spending leads most governments to increase the supply of their currency over time in ways that reduce its value — how many goods and services it can purchase.

As a result, we live in a world of global inflation. The dollar has remained the world’s reserve currency, not because it is strong, but because most other currencies are weaker. We try to measure the strength of the dollar through inflation indices that represent the purchasing power of the dollar. According to a popular index, the Consumer Price Index (CPI), the value of the dollar has declined steadily over the past century.

The Federal Reserve has an inflation target of 2 percent, which means it actively aims to reduce the value of a dollar by 2 percent every year. Even that questionable target is better than their recent record since 2020 of annual inflation averaging over 4 percent through 2026. Inflation compounds over time, however, dramatically reducing the purchasing power of the dollar. Figure 1, next page, shows how much purchasing power a dollar has retained since 1926.

Figure 1

Another way to think about the debasement of money is to consider the value of money in 1926 relative to a dollar later in time (see Figure 2, below). For example, a 1926 quarter could purchase what a dollar could in 1979. A 1926 dime could purchase what a dollar in 2001 could purchase. And a 1926 nickel could purchase what a dollar can today.

Figure 2

7. Innovation and the Future of Money

There have been many innovations in finance and financial institutions over the years: checks, ATMs, electronic clearing, changes in the redeemability of paper notes for gold or silver, and many more. Governments also create rules and frameworks to govern monetary innovations: reserve requirements, fraud protections, regulatory approvals, and more. Over the past decade, the United States has begun planning for digital money by creating a new legal framework through the GENIUS Act.

People have always looked for ways to preserve their wealth and have many means of doing so besides accumulating government-issued currency. The creation of digital currencies and digital assets offers an intriguing alternative to traditional monetary systems. Should decentralized digital currencies achieve widespread adoption — offering global exchangeability and a supply beyond state control — they could fundamentally disrupt the monopoly of major national currencies.

8. Conclusion: The Stakes of Sound Money

Recognizing money as a decentralized social or market institution reveals the limits and the consequences of government involvement. While governments can debase and devalue a currency by overproducing it, their ability to increase demand for their currency is quite limited. And a loss of confidence by the public can destroy a currency altogether as a medium of exchange because it no longer stores value sufficiently.

Ecuador, Panama, and El Salvador have all abandoned their domestic currencies because they became devalued and chose instead to use dollars. This is called “dollarization.” Many other countries, like Zimbabwe, Cambodia, and Lebanon, while not officially dollarizing, have populations that effectively use dollars or other currencies for most exchanges because their domestic currency is unreliable.

The United States and the dollar operate according to the same principles. Though the dollar has done well in a relative sense, there is a growing danger that national debt and deficits will debase the currency to such an extent that people view it as unreliable and seek other forms of wealth and other media of exchange. This will be extremely costly for those left holding significantly devalued dollars and for governments that try to buy goods and services with those dollars.

Apple was reported to be in talks with the Department of Justice last month to settle an antitrust case the government had brought against it. 

 If true, this shows just how far antitrust has strayed. For decades antitrust enforcement in the United States was linked to the consumer welfare standard (CWS), which limited enforcement to cases that did demonstrated harm to consumers. 

The CWS, popularized by the legal scholar Robert Bork, holds that antitrust regulators should only intervene if a merger or business contract results in a serious loss of consumer surplus. That is, when a firm has insufficient competition (monopoly power) and can raise prices to the point that many consumers can no longer afford its products or services. 

Enabling competitive markets, preventing these bad outcomes, became the basis for modern antitrust law. Starting under President Ronald Reagan, a broader push to ease regulatory pressure and allow businesses to experiment made harm to consumers a sensible standard. 

Antitrust regulators in recent administrations have moved away from the CWS and instead tried to protect consumers from competition and the choices that result.   

It would be far better if consumers were trusted to make their own decisions. That trust can keep regulators from intervening unnecessarily and make sure markets give people what they need.   

For too long, the major antitrust regulatory bodies, the Federal Trade Commission (FTC) and the Department of Justice’s Antitrust Division, had been drifting in the wrong direction.   

This was thanks chiefly to Lina Khan, who headed the FTC from 2021–2025. Khan made a name for herself in academia when she published an article arguing that Amazon should be subjected to strong antitrust enforcement despite not being a monopoly and offering low prices. 

Khan was drawing from the “New Brandeisian” school of thought, named after former Supreme Court Justice Louis Brandeis, which rejected the CWS in favor of a more expansive view of antitrust. Rather than empowering consumers through competition, New Brandeisians think big business should be limited on the basis of size alone. 

Anyone using Amazon’s services has plenty of other choices — the company does not lack competitors. Its online marketplace is up against Walmart and Target, as well as low-cost entrants Temu and Shein. Amazon’s cloud-computing service AWS competes directly with Google and Microsoft.  Subscribers and vendors on Amazon still can refuse to do business.   

Millions of people still choose Amazon every day for a variety of reasons, including the quality of service, the diversity of products available, and the speed of delivery. Yet Khan saw Amazon as a company that needed to be chopped down precisely because of its size and market power — its “structural dominance.”

This approach quickly became standard across the federal government.   

Khan’s FTC sued both PepsiCo, and Southern Glazer’s, the nation’s largest liquor distributor. Both lawsuits cited the Robinson-Patman Act, a Great Depression-era law that had gone largely unenforced for decades.   

How had Pepsi and Southern Glazer’s violated Robinson-Patman? They’d offered special discounts to bulk-purchase stores like Costco, allowing those retailers to offer lower prices to consumers. Even though the customer gained, Khan reasoned, smaller grocers were put at a disadvantage. But consumers make that fundamental choice all the time: buy in bulk for less at Costco or in smaller quantities for more at a grocery store. But the feds decided consumers needed to be shielded from these decisions in the name of preventing “price discrimination.”   

In fairness, the FTC is also charged with policing “unfair methods of competition,” false advertising, and deceptive practices. But objecting to lower prices on bulk purchases, a fundamental reality of transaction costs, seems to aim less at consumer welfare and more at companies achieving global scale.   

While it is still too early to tell, the FTC seems to be inching away from this New Brandeis, anti-consumer approach.   

Last year, the government dropped the case against PepsiCo while a settlement with Southern Glazer’s is reportedly in the works. The DOJ also greenlit a merger between Hewlett Packard Enterprise (HPE) and Juniper Networks, in hopes the resulting combined strength can stand up to Chinese giant Huawei, and offer consumers more choices in 5G and artificial intelligence.   

All of this is promising. But antitrust regulators didn’t back off Khan’s approach entirely. They continued to pursue lawsuits against several of the big American tech companies even after Khan left her post in early 2025.   

Antitrust regulation can serve a legitimate purpose — preventing genuine corporate misconduct and preserving competitive markets. If vertical integration leads to abuses, then by all means the abuse should be targeted. 

Occasionally, antitrust action is even used to preserve or restore consumers’ freedom to choose, when corporations place unjust restraints on their choices.  But taken too far, antitrust can empower the biggest monopoly of all — the federal government — at the expense of businesses and consumers.  

Americans don’t need an unaccountable class of regulators telling them what’s in their best interest, choosing between market products and services before the . When it comes to their own needs, they’re the most knowledgeable experts around.   

The best antitrust policy is one that trusts consumers, not regulators, to choose from amid vibrant competition.

Businesses today are expected to do far more than produce goods, satisfy customers, and earn a profit. Increasingly, they are evaluated according to how well they address a growing list of social objectives, from environmental sustainability and labor standards to diversity initiatives and community engagement.

To accommodate these expectations, an entire ecosystem of certifications, disclosure frameworks, and stakeholder scorecards has emerged. The appeal of these efforts is easy to understand. Consumers want more information about the companies they support, investors seek ways to identify long-term risks, and policymakers hope greater transparency will ensure better corporate behavior. Yet measuring something often changes the incentives surrounding whatever is being measured. And once organizations understand how they are being evaluated, they begin adapting their behavior accordingly or aiming to influence the evaluations and evaluators.

The Target Trap

Economist Charles Goodhart observed that once a statistical regularity is used as a policy target, it tends to break down under the pressure of that very use. Anthropologist Marilyn Strathern later distilled the idea into the phrase now commonly invoked: “when a measure becomes a target, it ceases to be a good measure.” Goodhart’s original context was monetary policy, but the insight travels well beyond it. Measures are valuable because they summarize complex information, allowing people to make decisions in situations where perfect knowledge is impossible. Problems arise, however, once those measures become the basis for rewards or punishments. At that point, organizations have the incentive to improve whatever indicator is being observed. 

Examples of this phenomenon are easy to find. Schools increasingly devote classroom time to standardized tests because funding and evaluations often depend upon student scores. Universities make strategic decisions designed to improve the variables incorporated into national rankings rather than focusing exclusively on educational quality. Academic researchers are often evaluated by publication counts, citation indexes, or journal impact factors. These measures provide convenient ways to assess scholarly productivity, yet they can also encourage researchers to pursue projects that are more likely to generate publishable results.

Corporate social responsibility (CSR) metrics generate the same dynamic. Ethical certifications, sustainability disclosures, and stakeholder scorecards may seem to have a commendable objective. Yet once executive compensation, procurement contracts, investment decisions, and public reputation become tied to those measures, organizations naturally devote increasing attention to improving the metrics themselves. Consultants emerge to guide firms through certification processes, reporting departments expand, auditing systems become more elaborate, and businesses dedicate increasing resources to demonstrating compliance with predetermined frameworks.

In this sense, Goodhart’s Law is not primarily a story about manipulation. It is a story about adaptation. Organizations respond to incentives exactly as economic theory predicts they will. Success gradually becomes measured less by whether firms create genuine value for customers and more by their ability to satisfy externally defined standards of responsibility.

The Knowledge Problem

Goodhart explains why metrics become less informative once they become targets. Friedrich Hayek helps explain why constructing those metrics was never straightforward to begin with.

Hayek is perhaps best known for his essay The Use of Knowledge in Society, in which he argued that the information necessary to coordinate economic activity is dispersed among millions of individuals. No planner, regulator, or institution possesses complete knowledge of people’s preferences, local circumstances, resource constraints, or entrepreneurial opportunities. Markets succeed not because participants are perfectly informed but because prices continuously aggregate fragmented knowledge generated through countless voluntary exchanges.

Although Hayek was writing about economic coordination, the same insight applies remarkably well to contemporary debates surrounding corporate responsibility. The challenge is not simply measuring responsibility accurately. It is recognizing that people do not even agree on what responsibility requires.

Consumers routinely hold competing ideas about what constitutes responsible business. Some willingly pay higher prices for locally produced goods because they value community resilience and regional employment. Others prioritize affordability because stretching household budgets is itself an important social concern. Some place enormous weight on reducing environmental impact, while others believe international trade creates greater opportunities by connecting developing economies to global markets. Animal welfare, innovation, privacy, accessibility, product quality, and economic growth all represent legitimate concerns, yet individuals assign them very different levels of importance. As I’ve written previously, even a single ethical label like “fair trade” or “organic” can mean entirely different things to different consumers, and often obscures more than it reveals. 

These disagreements are not evidence that consumers lack information or that better data will eventually produce consensus. They reflect fundamentally different priorities. Responsibility is therefore not a technical problem awaiting more precise measurement. It is an ongoing process of balancing competing values that evolve alongside changing circumstances.

That reality presents a challenge for every ethical framework. Before any scorecard can evaluate businesses, it must first decide which dimensions of responsibility deserve attention, how those dimensions should be weighted, and what tradeoffs ought to be considered acceptable. What appears to be an objective measurement is, in practice, built upon subjective assumptions about which values deserve priority, how competing objectives should be balanced, and which tradeoffs society ought to accept. Ethical metrics inevitably privilege one conception of responsible business over countless others.

The Hammer Bias

If Hayek helps explain why responsibility resists simple measurement, psychologist Abraham Maslow helps explain why organizations nevertheless continue searching for increasingly elaborate systems of measurement.

Maslow famously observed that “when all you have is a hammer, everything looks like a nail.” Although originally intended as a warning against intellectual overconfidence, the observation captures a broader institutional tendency. Once organizations develop a particular tool for addressing problems, they begin applying that tool with increasing frequency, even when the underlying challenges differ substantially.

Modern corporate governance increasingly exhibits this “hammer bias.” Faced with concerns about climate change, firms develop environmental scorecards. Concerns about labor practices generate ethical sourcing certifications. Social inequality prompts diversity reporting requirements. Each initiative addresses a legitimate issue, yet the preferred response is strikingly consistent: create another disclosure mechanism or another reporting standard.

The result is that responsibility morphs into compliance, and firms may opt to refrain from experimenting or searching out novel approaches to conduct business or serve customers. 

Frameworks intended to encourage ‘good’ behavior may unintentionally narrow organizations’ understanding of responsibility by directing attention toward what can be measured while avoiding qualities that are far more difficult to quantify. Trust, entrepreneurial creativity, and organizational culture rarely fit neatly within standardized metrics, yet they often contribute substantially to a firm’s long-term value.

Discovery, Not Decree 

None of this should be interpreted as an argument that profitability alone determines whether a business behaves responsibly. Markets require well-functioning legal institutions, respect for property rights, honest dealing, and broader cultural norms that discourage fraud and coercion. 

Profit is neither a substitute for ethics nor a complete measure of social welfare. And while profit is still a measure, the determinants and decisionmaking differ widely from those of ethical scorecards. Profit signals typically reflect the creation of real value rather than its opposite. Price signals, customer loyalty, and market share are decentralized forms of information generated through continuous interaction among consumers, entrepreneurs, employees, suppliers, and investors. This information is imperfect, yet it stays adaptive because it evolves alongside changing preferences rather than trying to define them in advance. 

Markets therefore allow competing conceptions of responsible business to coexist. Some firms compete on affordability. Others compete on craftsmanship, environmental stewardship, innovation, local sourcing, or charitable engagement. Consumers remain free to reward whichever combination of attributes they consider most valuable, while entrepreneurs remain free to discover new ways of meeting those diverse expectations.

Ethical metrics function differently. Before they can evaluate organizations, they must establish a fixed understanding of what responsibility ought to look like. They necessarily freeze a particular set of priorities into measurable criteria, even though public expectations continue evolving. Markets, by contrast, preserve the flexibility necessary for responsibility itself to evolve through experimentation and discovery. 

The Cost of Virtue

Ethical business conduct is a good thing, but a fundamental question is whether responsibility can be successfully institutionalized through increasingly elaborate systems of measurement. 

Taken together, Goodhart, Hayek, and Maslow illuminate different dimensions of the same problem while pointing toward a common lesson: institutional humility in the face of complex, evolving, and ultimately unquantifiable social objectives. Goodhart demonstrates that even when we manage to summarize some of that knowledge in a metric, incentives quickly reshape behavior around the metric itself. Hayek begins by reminding us that knowledge about what society values is dispersed and constantly changing. Maslow then explains why organizations continue expanding those measurement systems, gradually treating every new challenge as another opportunity for standardization and evaluation. 

The greatest danger is not that businesses become less ethical. Rather, it is that we mistake measurable virtue for virtue itself. As organizations devote greater attention to satisfying ethical metrics, they may simultaneously devote less attention to the ongoing process of discovery through which genuinely responsible business practices emerge.

The comparative advantage of markets lies in allowing individuals with different values to cooperate without requiring consensus about what responsibility ought to mean. That openness may appear less satisfying than another scorecard promising to rank corporate virtue once and for all. Yet it is far better suited to a world in which knowledge remains dispersed, priorities continually evolve, and no certification can capture what responsibility actually requires.