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On Capitol Hill this week, five Democratic senators accused the Trump administration of “sweetheart deals with Big Tech” that have “driven up power bills for ordinary Americans.” 

Their letter, addressed to the White House, faulted the administration for allowing data-center operators to consume “massive new volumes of electricity without sufficient safeguards for consumers or the climate.”

But the senators’ complaint points to a deeper reality neither party can ignore: artificial intelligence is changing America’s energy economy faster than policy can adapt. Every conversation with ChatGPT, every AI-generated image, every search query now runs through vast new physical infrastructure — data centers — that consume more electricity than some nations. 

The world’s appetite for digital intelligence is colliding with its appetite for cheap, reliable power. 

A New Industrial Landscape 

The anonymous-looking gray boxes—bigger than football fields—rising across Virginia, Texas, and the Arizona desert look like nothing special from the highway. Inside, however, they house the machinery of the new economy: tens of thousands of high-end processors performing trillions of calculations per second. These are the “intelligence factories,” where neural networks are trained, deployed, and refined — and where America’s energy system is pushed to its limits and beyond. 

“People talk about the cloud as if it were ethereal,” energy analyst Jason Bordoff said recently. “But it’s as physical as a steel mill — and it runs on megawatts.” 

According to the Pew Research Center, US data centers consumed about 183 terawatt-hours (TWh) of electricity in 2024 — some 4 percent of total US power use, and about the same as Pakistan. By 2030, that figure could exceed 426 TWh, more than double today’s level. The International Energy Agency (IEA) warns that, worldwide, data-center electricity demand will double again by 2026, growing four times faster than total global power demand. 

The driver is artificial intelligence. Training and running large language models (LLMs) like ChatGPT and other models requires enormous computing clusters powered by specialized chips — notably Nvidia’s graphics processing units (GPUs). Each new generation of AI systems multiplies power requirements. OpenAI’s GPT-4 reportedly demanded tens of millions of dollars’ worth of electricity just to train. Multiply that by hundreds of companies now racing to build their own AI models, and the implications for the grid are staggering. 

Where the Power Is Going 

The American and global epicenter (for now) of this new build-out remains Loudoun County, Virginia — nicknamed “Data Center Alley” — where nearly 30 percent of that county’s electricity now flows to data facilities. Virginia’s utilities estimate that data centers consume more than a quarter of the whole state’s total generation.

Elsewhere in America, the story is similar. Microsoft’s burgeoning data center complex near Des Moines has forced MidAmerican Energy to accelerate new natural-gas generation. Arizona Public Service now plans to build new substations near Phoenix to serve a cluster of AI facilities; Texas grid operator ERCOT says data centers will add 3 gigawatts of demand by 2027. 

And the trend, by the way, isn’t limited to electricity. Most facilities require water for cooling. A single “hyperscale” campus can use billions of gallons per year, prompting local backlash in drought-prone regions.

The Political Blame Game 

Soaring demand has begun to translate into electric-rate filings. US utilities asked for $29 billion in rate increases in the first half of 2025, nearly double the total for the same period last year. Executives cite “data-center growth and grid reinforcement” as drivers. 

And so, we get the letter from Senate Democrats — among them Elizabeth Warren and Sheldon Whitehouse — urging the Department of Energy to impose “efficiency standards” and “consumer protections” before authorizing new power contracts for AI operators. “We cannot allow Silicon Valley’s hunger for compute to be fed by higher bills in the heartland,” they wrote. 

The Trump administration shot back a reply. Press Secretary Karoline Leavitt said, “The president will not let bureaucrats throttle America’s leadership in AI or its supply of affordable energy. If the choice is between progress and paralysis, he chooses progress.” 

That framing “progress versus paralysis” captures the larger divide. The administration has prioritized energy abundance, reopening leasing on federal lands, greenlighting LNG export terminals, rolling back environmental restrictions of all kinds, and signaling renewed support for coal and nuclear power. Democrats, fixated on climate commitments, have continued to oppose expanded drilling in Alaska’s Arctic and new offshore projects, while pressing for data centers to run on renewables. 

Powering the AI Boom 

Without continuous electricity, the AI boom falters. Nvidia, Microsoft, and OpenAI are already pushing the limits of available capacity. In April, Microsoft confirmed it will buy power from the planned restart of the Three Mile Island Unit 1 reactor — mothballed since 2019 — to feed its growing data-center fleet in Pennsylvania. “We’re essentially connecting a small city’s worth of demand to the grid,” said an energy executive involved in the project. “Data centers are an order of magnitude larger than anything we’ve built for before.” 

That “small city” reference is not an exaggeration. A single hyperscale facility can draw 100 megawatts — roughly the load of 80,000 households. Dozens of such projects are under construction. 

And while the industry’s largest players are also buying wind and solar power contracts, they admit that renewables alone cannot meet the 24-hour load. “When the model is training, you can’t tell it to pause because the sun set,” one data-center engineer quipped. 

The Economics of Constraint 

From an economic perspective, what matters is not only rising demand but constrained supply. Regulations restricting oil, gas, and pipeline development keep marginal electricity generation expensive. Permitting delays for transmission lines slows the build-out of new capacity. At the same time, federal subsidies distort investment toward intermittent sources that require backup generation — often natural gas — to stabilize the grid. 

A perfect storm of policy contradictions may be brewing: a government that wants both a carbon-neutral grid and dominance in energy-hungry AI. 

“The irony is that the very politicians demanding AI leadership are the ones making it harder to power,” said economist Stephen Moore. “You can’t have artificial intelligence without real energy.” 

In a free market, higher demand would spur rapid expansion of supply. Investors would drill, build, and innovate to capture new profit opportunities. Instead, production and permitting are politically constrained, so prices must rise until demand is choked off. That is the dynamic now visible in electricity bills — and in the Senate’s sudden search for someone to blame. 

The Global Race 

Complicating it all, to say the least, is the geopolitical dimension. China, the European Union, and the Gulf states are racing to build their own AI infrastructure. Beijing’s Ministry of Industry announced plans for 50 new “intelligent computing centers” by 2027, powered largely by coal. In the Middle East, sovereign wealth funds are backing data-center projects co-located with gas fields to guarantee cheap electricity. 

If the US restricts its own energy production, it risks ceding the field. “Energy is now the limiting reagent for AI,” venture capitalist Marc Andreessen wrote this summer. “Whichever country solves cheap, abundant power wins the century.”

That insight revives old debates about industrial policy. Should Washington subsidize domestic chip foundries and their power plants, or should it clear the regulatory thicket that deters private capital from building both? Innovation thrives on liberty, not mircomanagement. 

The New Factories 

Are data centers so different from factories of the industrial age? They convert raw inputs like electricity, silicon, cooling water, and capital into valuable outputs: trained models and real-time AI services. But unlike the factories of the past, they employ few workers directly. A billion-dollar hyperscale facility may have fewer than 200 staff. That does not sit well with the communities in which the vast data centers are located. The wealth is created upstream and downstream: in chip design, software, and the cascade of productivity gains AI enables. 

Still, the indirect productivity is vast. AI-driven logistics shave fuel costs, AI-assisted medicine accelerates diagnosis, and AI-powered coding tools raises output per worker. But all of it depends on those humming, appallingly noisy, heat-filled halls of servers. As OpenAI’s Sam Altman remarked last year, “A lot of the world gets covered in data centers over time.” 

If true, America’s next great industrial geography will not be steel towns or tech corridors, but the power corridor: regions anywhere that electricity is plentiful, cheap, and politically welcome. 

Already, states like Texas and Georgia are advertising low-cost energy as a lure for AI investment. 

Markets Versus Mandates 

From a free-market perspective, the lesson is straightforward. Economic growth follows energy freedom. When government treats energy as a controlled substance — rationed through regulation, taxed for vice, or distorted by subsidies — innovation slows. When markets are allowed to meet demand naturally, abundance results. 

In the early industrial age, the United States became the world’s workshop because it embraced abundance: of coal, oil, and later electricity. Every new machine and factory depended on those resources, and entrepreneurs supplied them without central direction. Today’s equivalent is the AI data center. Its prosperity depends on letting energy producers compete, invest, and innovate without political interference. 

Politics Ahead 

Over the next year, expect the power issue to dominate AI politics. Democrats will press for efficiency mandates and carbon targets; Republicans will frame energy freedom as essential to national strength. Federal officials already are discussing a kind of “clean AI” certification system tied to renewable sourcing — critics say that could amount to a de facto quota on computer power. 

Meanwhile, utilities are rethinking grid design for a world where data centers behave like factories that never sleep. The market is responding: small, modular nuclear reactors, advanced gas turbines, and geothermal projects are attracting venture funding as potential baseload sources for AI campuses. 

For policymakers, the challenge is to resist the urge to micromanage. As AIER’s scholarship often finds, spontaneous order, not centralized control, produces both efficiency and resilience. Allowing prices to signal scarcity and opportunity will attract the investment necessary to balance America’s energy equation.

The Freedom to Compute 

In the end, the debate over data centers and electricity bills is really about the freedom to compute. The same economic laws that governed the Industrial Revolution still apply: productivity rises when entrepreneurs can transform energy into work — whether mechanical or digital. 

Artificial intelligence may be virtual, but its foundations are unmistakably physical. To sustain the AI boom without bankrupting ratepayers, the United States must choose policies that unleash energy production rather than constrict it. 

The “cloud” will always have a power bill. The question is whether that bill becomes a burden of regulation or a dividend of freedom.

Central planners just can’t help themselves. They feel obligated to solve the world’s problems. Consider this year’s Orwellianly-named “Conference of the Parties” (COP-30), the thirtieth annual climate conference sponsored by the United Nations Framework Convention on Climate Change (UNFCCC).

Thousands of government officials and members of international non-government organizations (which, of course, get millions of dollars from governments) have descended on Belem, Brazil for their annual COP-30 gathering. The past two gatherings, COP-29 in Azerbaijan and COP-28 in the United Arab Emirates, were rough to say the least. 

They failed to get big commitments from wealthy countries, they didn’t win over many less-developed countries, and increasingly the conference looked co-opted by fossil fuel interests. That low bar means this year’s conference may hit a brighter note – although less than half-way through the conference, protestors tried to force their way in and harmed several security personnel. So maybe we’ll see a new low in the war to “save” the planet.

As an advocate for freedom, these annual COP meetings can be disheartening. They are an annual reminder of the immense resources and machinery for coercion and central planning that keep grinding relentlessly on (with taxpayer funds) no matter how unhappy the people of the world are with their “benevolent” planning. As with most centralized solutions, the proposals put forward at COP-30 will do little to help or to empower those who are really at risk.

The Amazon rainforest figures prominently in the climate agenda this year. In fact, the indigenous protestors at this year’s climate conference live in and near that rainforest. COP attendees busily work away at hammering out agreements for wealthy countries to compensate poorer countries for “environmental damages.” These billions of dollars that attendees hope to extort from guilt-ridden governments and wealthy corporate managers will enrich themselves and their cronies by funding more travel, more conferences, and more studies. The money will also grease the palms of government officials in recipient countries. And then, whatever crumbs are left, might make their way into the hands of those most harmed by environmental problems.

But that’s not what these protestors want. As one protestor said “We can’t eat money….We want our lands free from agribusiness, oil exploration, illegal miners and illegal loggers.” Brazil’s left-leaning President Luiz Lula da Silva (known as “Lula”) has said that this year’s conference and the government of Brazil is committed to working with indigenous communities. Unfortunately, for Lula and the COP-30 attendees, paternalism does not seem to be what these indigenous communities want.

There is a much better and simpler solution: protect the rights of the vulnerable. The indigenous peoples in Brazil don’t want a handout orchestrated by the global elite, they should have the property rights to their land defined and protected. Ironically, a better regime of property rights and contract will benefit the rainforest more than carbon offset schemes.

Clear cutting and deforestation happen because of deficiencies in property rights and the rule of law. People rush in to get as much wood as they can because if they don’t, someone else will. Logging companies that own their own land, on the other hand, rarely engage in clear-cutting because it will reduce the value of their land. Instead, they manage their land with an eye towards the future. They plant new trees. They protect their trees from fire and other calamities. 

There is no reason to think the indigenous peoples in and around the Amazon rainforest will act differently if they are given real ownership of their land. They will have the best knowledge of how to manage the rainforest – how to protect it, how to harvest its resources, and how to maintain its value. 

They should not live under the whims or the hubris of lawyers in Brussels or The Hague, do-gooder corporate management, or small armies of government bureaucrats around the world. Instead, they should have autonomy and the right to determine their own future – to decide what is best for themselves and their families – not to become clients in a perverse environmental patronage system.

And this lesson from indigenous peoples in the Amazon rainforest applies in dozens of other ways to people around the globe. The UN/Davos/NGO elites want to regulate every part of our lives in their quixotic quest to prevent the planet from warming “too much.” We will lose the right to decide how to ship goods, grow crops, generate electricity, travel, and otherwise govern ourselves. 

Unfortunately, the global environmental machinery will continue grinding unless those in power are replaced by champions of freedom and innovation.

Do you sell cupcakes, run a home photography studio, or tutor kids in your living room? If so, you might be breaking the law.

In the US, zoning ordinances often treat modest home enterprises as threats to the neighborhood. If you’re just running an online business, local governments generally won’t bother you, but if clients are coming to your home, then they try to limit the visibility and impact of your business. Have these regulations gone too far? Should state governments tell local governments to leave home-based businesses alone, within certain limits?

Major companies have gotten their start in someone’s garage. At this point, it’s almost a mandatory back-story for any Silicon Valley company. Apple, Hewlett-Packard, Google, and Amazon all boast garage-based origins.

And it’s not just fledgling tech startups. In residential neighborhoods across America, home-based businesses are the hidden sinews of resilient local economies, from the mom who takes care of several neighborhood kids while their parents work, to the independent tax accountant hanging out his shingle. From the Russian immigrant baking and selling honey cakes to those in the know, to a group of families that started a micro-school during the pandemic.

The rise of remote work makes home-based businesses more viable, because the potential customer base for small neighborhood retail is growing. More Americans could now benefit from the convenience of doing business close to home. Already, about 50 percent of all small businesses and 69 percent of startups are home-based.

New Hampshire is the only state with a complete dataset of local zoning regulations on home-based businesses, based on a survey of laws conducted by the Initiative for Housing Policy and Practice at Saint Anselm College. About 20 percent of the state’s independent zoning authorities outright ban home-based businesses and occupations in at least one residential district. Twenty towns ban the Hewlett-Packard origin story — a business in a detached garage — outright. Twenty-six more require a special permit. Other finicky regulations include requirements to build more parking (56 towns) or prohibitions on building more parking (14 towns), subjecting home businesses to site plan review, which comes with a public hearing and potentially costly requirements to run tests and studies (89 towns), and strict limits on the square footage a resident may use for running a business (22 towns set limits at or below 600 square feet). 

You can bet that if “Live Free or Die” New Hampshire has these regulations, other states’ rules are at least as onerous. In 2021, Florida legalized home-based businesses in all residential districts but otherwise allows local governments to regulate their operation. New Hampshire, California, Washington, Oregon, and Colorado have legalized home-based childcare statewide.

What would happen if we relaxed the rules on home-based businesses? 

Japan’s experience may offer a glimpse. American tourists return entranced by the tiny shops and offices that people run out of their homes. In Japan’s “exclusively residential” zoning category, “[s]mall shops, dental clinics, hair salons, and day cares are all permitted.” The widespread availability of small shops makes life more convenient if you live in a small house. You no longer have to store all the daily necessities of life within your residence. Jane Jacobs made the safety case for mixed-use neighborhoods in The Death and Life of Great American Cities. With more “eyes on the street,” someone is more likely to see anything bad that happens and take action.

Now, there are good reasons for Americans not to adopt Japanese zoning wholesale. Japan’s homicide rate is 25 times lower than America’s. Americans are less likely to tolerate strangers roaming around their neighborhoods. And while Jacobs’ “eyes on the street” thesis explains why mixed-use neighborhoods are safer than downtowns that empty out after work hours, bringing bars and perhaps some other commercial uses into residential neighborhoods appears to increase crime (though higher residential density reduces it).

Still, much of the US is extremely safe, and it just isn’t plausible that making it easy to start a home daycare is going to spawn a neighborhood crime wave. Reasonable limits make sense for home businesses that bring in lots of vehicle traffic, create lots of noise, or attract an undesirable clientele, but if we set aside these problematic uses, why not let people offer more services and sell more stuff out of their home?

Opponents might point to the virtues of “local control.” State legislators, they say, have less knowledge of local neighborhoods and potentially incompatible uses than local officials do.

Indeed, local governments are more competent at regulating commercial uses than homebuilding. Local governments over-regulate housing because they capture only part of the benefits of new local housing while paying the full costs. New property tax revenues and more up-to-date housing stock do benefit a locality, but the benefits of lower housing costs, lower homelessness, and stronger business conditions from new supply accrue to a larger region.

By contrast, localities reap the lion’s share of the benefit of allowing new business, including more employment opportunities, higher property tax revenues, and more convenience and amenities for residents. So we should expect local governments to treat commercial uses better than they do dense residential uses, and that’s generally what they do.

Even so, localities often err on the side of overregulation. Local officials lack the information, the incentives, and the flexibility that market prices provide. They can’t know what services people really want, public hearings amplify anti-change voices, and getting variances is too costly for the average homeowner.

Thus, state legislatures can play a useful role in using their legal and administrative expertise to carve out safe harbors for low-impact uses that local officials may not have even considered.

One example of this opportunity is in-home childcare. Many towns regulate in-home childcare like any other home-based business. But childcare is a low-impact use, and there’s no reason to treat it the same way we would, for example, auto repair. The lack of affordable childcare is also a major national economic issue. Thus, it’s no surprise that states have started to set aside local zoning regulations that ban or strictly regulate home childcare.

Could states also require or encourage localities to allow entrepreneurs to do business at home in other ways? States have the expertise and capacity to help local governments figure out opportunities to ease the burdens on small-scale entrepreneurship, without turning residential neighborhoods into central business districts. Just ask Bill Gates or Steve Jobs. America’s garages could be launching pads for global enterprise if we have the vision to let them.

The modern American right could stand to gain from the insight of Richard M. Weaver. Weaver, a twentieth-century conservative of the Southern tradition, perceived the dangers of radical ideologies as well as the extent to which American thinking offered a viable alternative. Amid the disagreements and controversies of our present moment, today’s various libertarians, conservatives, classical liberals, and others are in need of clear thinking about our own ideas as well as those of our opponents. As such, we might learn from Weaver’s powerful dissections of authoritarianism. 

A key component of Weaver’s philosophy was a recognition of the natural distinctions of individuals within society, what might also be termed “social bond” individualism. As the revolutionary movements of the twentieth century demonstrated through both communism and fascism, the overruling of this human basis was a harbinger of immense danger to the freedom of individuals and the natural order of their civilization. However, Weaver explained how, according to its largely Jeffersonian principles, the American South perceived the threat of these destructive movements sooner and more substantively than other regions.  

In a 1944 essay entitled “The South and the Revolution of Nihilism,” Weaver laid out the reasons why fascism was (and still is) fundamentally opposed to the genuine traditions of American thought and society. He argued that fascism was at its core a revolutionary break with the Enlightenment ideas that had themselves transformed much of the Western world, especially since the French Revolution. Since, in his view, the South never fully entered the French Revolutionary schema of breaking down all social distinctions and “deep-rooted traditions,” fascism was rightly perceived not as a restoration of lost principles, but as societal upheaval.  

Weaver contended that the American South, never having wholly embraced the leveling forces of the Enlightenment, stood rooted in its own history, which it had “learned the hard way.” He depicted the region and its society as being composed of individuals who operated within a unique sense of spontaneous customs and social bonds to one another. Fascism, by contrast, was understood as a movement destructive of society’s natural structure and instead tended towards the “substitution of the formless mass manipulated by a group of Machiavellians.” This distinction meant that fascism was a malignant and incompatible force not to be trifled with or appeased, despite the wishful efforts of many in the West. 

What was really at issue during the Second World War, according to Weaver, was a foundational conflict between traditional arrangements developed from the bottom-up versus regimented structures imposed upon society from the top-down. Centralization meant an alliance between the “mass” and a single dictatorial leader, a stark contrast to the decentralized approach with its roots in local authority and individualism. Seeing fascism as the “extreme proletarian nihilism” that it was, Weaver perceived “that the promise of fascism to restore the ancient virtues is counteracted by this process, and that the denial of an ethical basis for the state means the loss of freedom and humanity.” Despite the fascists’ claims of returning to lost traditions, Weaver and other Southerners understood that the heavily centralized nature of fascist regimes negated the spontaneous orders people develop within society. In essence, fascism may give lip service to traditional social arrangements, but it is at its core revolutionary because it seeks to impose an order, rather than being born out of a pre-existing order. 

Having described fascism as the authoritarian concoction that it was, Weaver likewise held no illusions about the other revolutionary system of the twentieth century, communism. In his excellent 1957 article, “Life Without Prejudice,” Weaver skewered the Marxist tactic of sowing seeds for a Utopia that never blooms. He noted how communists recognized that to implement their own dogmatic vision of the world, they must first clear away the existing society, one pillar at a time. Whether playing upon public resentment about the “existence of rich men,” or “the right to acquire and use property privately,” or some other issue, communists seek to “vilify this as founded upon ‘prejudice.’” It was, in effect, a nihilistic strategy for implementing their own prejudices.  

While the term “prejudice” has lost its regularity in conversation since Weaver’s time, it is not difficult to see the same strategy at play in modern discourse. There are numerous examples in recent years of people being pilloried as “racist,” “sexist,” “homophobic,” “antisemitic,” or various other “prejudices” which supposedly negate argument and justify cancellation or worse. As Weaver made clear, this is the communist deconstruction tactic at work once more. This strategy is crucial for wannabe tyrants, who must first defeat the existing society before ushering in their own manufactured one, imposed from above, much like fascism. They must inspire skepticism about the current order by oversimplifying everything as arising from malicious “prejudices” held by their opponents.   

Instead, Weaver noted the natural role of prejudice, rightly understood, in individual thinking and personality. He explained that not every aspect of an individual’s thoughts and actions could be verified by a mountain of facts or logic. In contrast to the radicals who claimed objective certainty about what’s best for everyone, “The man who frankly confesses to his prejudices is usually more human and more humane. He adjusts amicably to the idea of his limitations. A limitation once admitted is a kind of monition not to try acting like something superhuman. The person who admits his prejudices, which is to say his unreasoned judgments, has a perspective on himself.” This perception is a meaningful counter to the moral framework of communism because it elevates humility above ideological presumption; it is an endorsement of genuine principles over presuppositions.  

Ultimately, Richard Weaver presented insightful arguments for rejecting the devastating radicalisms of his era. It would stand to reason, then, that in our own uneasy era we too could gain by understanding the alternative he championed. 

To reject the upheavals offered by communism and fascism, the American right must instead reinforce its principles by embracing its vast intellectual tradition. We can reaffirm our commitments to liberty and order while so many others give way to the siren songs of centralized collectivism, whether fascist, communist, or otherwise. The stringencies of ideology ultimately impair our sense of humanity and can justify disastrous outcomes, as the history of the twentieth century attests. As Weaver put it, we must recognize that schemes for “a life without prejudice” are as inhuman and destructive as the life pursued strictly for the “satisfaction of physical man.” 

What kind of goods and experiences comprise a “normal life”? In 1900, Henry George thought millionaires lived abnormally because they had telephones in their bedrooms. Looking back, it’s remarkable how quickly the abnormal becomes ordinary. Today, even the poorest people — not only in rich countries but also in developing ones — carry a phone (which does much more than ring) in their pocket.

From Luxuries to Necessities 

That’s one of the miracles of the free market. French sociologist Gabriel Tarde noticed that forks and spoons were once luxuries reserved for the elite, but by his time had become universal. Ludwig von Mises drew inspiration from Tarde’s insight, calling it one of capitalism’s greatest virtues: the transformation of luxuries into necessities. “What was once a luxury becomes in the course of time a necessity,” he wrote. In Mises’s view, this is the inherent tendency of capitalism — to shorten that time lag and make the luxurious accessible to the masses. One might add that in socialist economies, the opposite happens: necessities become luxuries.

But this transformation is only possible through freedom — the freedom of consumers to experiment with new products, and of producers to innovate and take risks. On the supply side, the liberty of entrepreneurs and capitalists to test new methods of production — even when those methods appear “unjust” or “wasteful” at first — opens the door for millions to enjoy the fruits of innovation. As F. A. Hayek put it, capitalism enables “experimentation with a style of living that will eventually be available to many.”

Yet supply is only half the story. Consumers play an equally vital role. Mises called capitalism the sovereignty of the consumers. And yet, in recent years, a “war on consumers” has emerged from both the left and the right.

The War on Consumers

Five months ago, Donald Trump, defending his trade war with China, remarked, “Maybe the children will have two dolls instead of thirty dolls.” On the other side, Bernie Sanders has declared that we “don’t need 23 choices of deodorant or 18 choices of sneakers when kids are going hungry.” 

In both cases, ordinary consumers — those walking through Walmart comparing groceries or choosing between brands — are portrayed as the problem. “Why do you need thirty dolls?” they ask. “Why twenty-three deodorants?”

This disdain for consumer choice has deep intellectual roots — not just in populist rhetoric but in academia. From Thorstein Veblen’s theory of conspicuous consumption to John Kenneth Galbraith’s The Affluent Society, many thinkers have looked down on consumer tastes. Galbraith once dismissed American cars as “big, ungainly, [and] unfunctional.” But ugly by whose standard? Dysfunctional according to what measure? The essence of the free market is that consumers decide for themselves — and the normative defense of this system is straightforward: individuals know their own interests better than any politician or professor.

Critics — from Veblen to Marxists who claim capitalists “manufacture” desires — forget what liberal economists understood well: that consumption in a modern economy is not merely about survival, but experience. We don’t just buy things to use them; we buy them to experience them. Marketing, far from being pure manipulation, is part of that experience. Buying a perfume endorsed by your favorite celebrity is not just about smelling pleasant — it’s about identity, aspiration, and emotion. Because preferences are subjective, it’s meaningless to draw a hard line between “needs” and “wants.” Who could have predicted that humanity “needed” airplanes or automobiles before they existed?

Through trial and error, consumers discover what they value. There is no objective measure of “need.” In fact, the unpredictability of human desire is itself a defense of the free market: we need its discovery process to learn what tomorrow’s needs will be. What looks like frivolous consumption today often becomes the gateway for widespread prosperity tomorrow.

Critics of marketing also ignore basic business logic. Which is easier for a firm: to spend vast sums inventing a new “need” and then developing a product for it, or simply to observe what people already want and produce accordingly? The latter is common sense. Marketing’s informative function is often overlooked; if it were purely deceptive, businesses would have little incentive to rely on it. Real profits come from loyal, long-term customers — something deception cannot buy.

As the economist Stanley Lebergott once wrote, “It is an unacknowledged excellence of modern economics that its foundations are pitched on the sands of human desire.” Modern economies achieve miracles not through the commands of kings or planners, but through individuals pursuing their own interests — and that is a virtue, not a sin. 

This “unacknowledged excellence” is the moral beauty of the liberal market order: where consumers are free to choose, society has no forced mission — and yet it prospers precisely because of that freedom.

For more than a century, America’s stock listings have been dominated by two addresses: Wall Street’s New York Stock Exchange and Nasdaq’s MarketSite in Times Square. That may soon change. On September 30, 2025, the US Securities and Exchange Commission approved the Texas Stock Exchange (TXSE) to operate as a national securities exchange.

Headquartered in Dallas and backed by major financial institutions, TXSE plans to begin trading in early 2026 — marking the first serious challenge in decades to the entrenched exchange duopoly and opening a new chapter for American capital markets.

Texas offers both symbolism and substance for such an endeavor. With roughly $2.7 trillion in annual economic output, the state represents about one-tenth of the entire US economy. It is home to more than a tenth of the nation’s publicly listed companies, and its mix of rapid growth, favorable taxes, and business-friendly regulation makes it a natural candidate for a financial hub. The creation of a new national exchange in Dallas isn’t just a regional milestone — it’s a sign that financial innovation is no longer bound to Manhattan’s geography or culture.

The Texas Stock Exchange aims to reintroduce competition into a sector that has grown listless and increasingly consolidated. It’s undoubtedly true that the existing exchanges have played a crucial role in maintaining transparency and corporate accountability; their listing standards have strengthened governance and investor protections. Yet those same regulatory frameworks have also drifted into areas far removed from financial performance. In recent years, both the NYSE and Nasdaq have woven social and political priorities — what critics describe as wokeness — into disclosure and board-composition rules. They are costly distractions from capital formation. The TXSE proposes a more neutral approach: maintaining high financial and ethical standards while allowing firms to focus on profitability, innovation, and shareholder value.

What distinguishes the TXSE is not a break from federal oversight — the SEC will supervise it under the same 1934 Exchange Act framework — but a fresh philosophy of exchange governance. Its listing rules, approved by the SEC in late 2025, emphasize issuer friendliness without relaxing quantitative standards. Companies may request confidential pre-application eligibility reviews at no cost, an innovation that can save months of uncertainty and advisory fees. The exchange also plans lower recurring costs and streamlined compliance obligations, designed to appeal especially to midsize and emerging-growth firms that find New York’s red tape prohibitive. For issuers, the advantages are procedural rather than ideological: less bureaucracy, clearer guidance, and faster time to market — all within the same legal protections that govern other national exchanges.

Importantly, the TXSE is not creating a parallel arbitration or mediation framework distinct from existing US securities law. Disputes will remain under conventional regulatory and judicial channels. What TXSE offers instead is predictability and professional competence — a governance regime grounded in financial expertise rather than social activism or politicized mandates. Texas’s recent corporate-law reforms, offering expanded safe harbors for directors and officers of Texas-based or TXSE-listed corporations, further reinforce that business-friendly environment.

Publicly traded companies are not abstract entities — they are the backbone of the US economy. Collectively, they employ roughly 28 million Americans, investing hundreds of billions each year in facilities, equipment, research, and expansion. Publicly traded paper also allows firms that might not be cash-rich to acquire or merge with others, achieving efficiencies of scale, spreading innovation faster, and delivering better and more affordable products and services to consumers. When those firms can operate and raise capital efficiently, the benefits ripple widely through communities and households alike.

If successful, the TXSE’s impact may reach far beyond the companies it lists. A dynamic marketplace disciplines incumbents: the very existence of a new exchange could push legacy venues to innovate, lower costs, and revisit how they define “best practices.” As competition increases, issuers may find not only a cheaper but also a fairer playing field — one where governance expectations are tied to financial prudence rather than fashionable politics.

Building an exchange is no small task. To achieve price discovery, a critical mass of liquidity is necessary, and accumulating that liquidity depends on both performance and confidence. The NYSE, Nasdaq, and other market centers have deep, long-established pools of trading activity that reinforce their dominance. For TXSE to thrive, it must persuade a broad array of market participants — from investment banks and hedge funds to retail brokerages and pension funds — that Dallas can host a market as vibrant and reliable as New York’s. (JP Morgan has already asserted its view on that matter.) That will require trust, technological strength, and seamless integration with the national trading network.

Yet Texas’s position is unusually strong. Its economy is vast and diversified; its infrastructure modern; its talent base deep in both finance and energy technology. A more geographically diverse system of exchanges spreads operational risk, encourages regional specialization, and gives investors and entrepreneurs alternatives to the cultural and regulatory monolith that New York has become. TXSE’s lower listing costs, emphasis on issuer engagement, and alignment with Texas’s pro-business climate make it the most credible new exchange entrant in generations.

To the uninitiated observer, another stock exchange might sound redundant, or more cynically like another gaming venue for the wealthy. The current US President, in fact, once expressed the view that the New York Stock Exchange is “the biggest casino in the world.” 

In truth, exchanges are the plumbing of capitalism — the place where savings become investment and new industries find their footing. By one account, Ludwig von Mises once commented that stock exchanges are ultimately the dividing line between market and collectivist economic systems. Murray Rothbard recounted (“Making Economic Sense”):

One time I asked Professor von Mises, the great expert on the economics of socialism, at what point on this spectrum of statism would he designate a country as “socialist” or not. At that time, I wasn’t sure that any definite criterion existed to make that sort of clear-cut judgment. And so I was pleasantly surprised at the clarity and decisiveness of Mises’s answer. “A stock market,” he answered promptly. A stock market is crucial to the existence of capitalism and private property. For it means that there is a functioning market in the exchange of private titles to the means of production. There can be no genuine private ownership of capital without a stock market: there can be no true socialism if such a market is allowed to exist.

A more competitive and decentralized exchange system strengthens that foundation and keeps commercial blood flowing through the country’s economic arteries.

Despite socialistic structural rigidities, changes are coming to US financial markets, albeit slowly. With its regulatory green light secured, and trading expected to begin in early 2026, the Texas Stock Exchange represents more than a new address for American capital markets. It is a bet on openness, competition, and the belief that — just as in the marketplace for ideas — the market for capital works best when it is competitive and free.

With SNAP funding in the news, we’re seeing a revival of a familiar complaint against big business. The reason millions of Americans need public benefits like SNAP, critics say, is that their employers don’t pay them enough.

As one columnist recently put it, corporations “have taken advantage of Medicaid, food stamps, and other safety net programs for years to get out of paying their workers a living wage by sticking the taxpayers with the expense.” These corporations are to blame for people’s need for public assistance, and they should pay their workers more so that they’ll rely less on safety net programs funded by taxpayers. 

But this complaint is morally confused. To see why, let’s start with a simple point: an employer is a buyer of labor. So when critics say that big corporations should raise their employees’ wages to the point where they don’t need public assistance, what they’re really saying is that corporations should pay more for what they buy. But we shouldn’t assume that merely buying something from someone obligates you to pay them so much that they never need public assistance, rather than simply paying them the mutually agreeable price. 

Here’s an analogy. Scarlett likes to buy scarves from Wes on eBay. Whenever Wes lists a scarf for auction, Scarlett makes the highest bid. In short, she’s his best customer. But times get tough for Wes. He begins to struggle to pay rent and buy groceries. Scarlett keeps winning the auctions for Wes’s scarves and sending payments his way, but it’s not enough to keep him off SNAP.

Politicians and commentators learn about Wes’s situation and place the blame squarely on one person: Scarlett.

If only she had paid more than the auction price for his scarves, they argue, Wes wouldn’t need SNAP benefits. According to one columnist, “Scarlett is taking advantage of the government’s safety net to get out of paying Wes enough to live on and sticking taxpayers with the expense.” 

The moral condemnation of Scarlett would be downright bizarre, and it’s not hard to see why. Remember, Scarlett is Wes’s best customer — she offers more for his scarves than anyone else. If anything, we should have the least complaint against her. She’s already given Wes thousands of dollars while other customers have given him less or nothing at all. Scarlett is doing more than anyone else to benefit Wes, so it’s strange to single her out for blame. 

Now turn back to big businesses like Walmart and Amazon. Just as Scarlett is Wes’s best customer, so too is Walmart its employees’ best customer — that is, it made them the best offer for their labor.

We know this because if Walmart hadn’t made them the best offer, those employees would be working somewhere else instead. Workers accept the best offer for their labor just as weavers accept the best offer for their scarves. So, as with Scarlett, we should have the least complaint against Walmart, not the most. Other employers either made Walmart workers worse offers or made them no offer at all. Since Walmart is doing more than anyone else to benefit Walmart workers, it’s strange to single it out for blame. 

You might reply that I’m overthinking things. The simple truth is that Walmart should pay its employees more because it can afford to pay them more. But this view assumes you’re obligated to pay more for something simply because you can afford to do so — and that’s a dubious assumption. 

Think back to Scarlett. Suppose that she could afford to pay Wes more for his scarf than what turned out to be the winning bid. While it might be generous of her to do so, that seems more like charity than fulfilling an obligation. When someone sells you a scarf, a cup of coffee, a gym membership, or an hour of labor, you don’t thereby incur a duty to pay them whatever it takes to fix their personal finances. You simply owe them the agreed-upon price. 

And that agreed-upon price isn’t arbitrary — it reflects supply and demand in the case of labor just as it does for anything else. A scarf sells at a price where someone is willing to buy it and someone else is willing to let it go. Labor is no different: wages settle where workers are willing to offer their time and employers are willing to buy it. If the wage is set too high, people will be less likely to hire workers; if it’s too low, people will be less likely to work.

Even if you insist that rich customers like Scarlett do have a moral obligation to pay Wes more for his scarves, it doesn’t follow that government officials should force her to do so. The mere fact that you should do something — be it paying more for a scarf, driving a good friend to the airport, or visiting your sick sibling in the hospital — doesn’t establish that it’s the government’s job to make you do it. Plus, forcing Wes to raise his prices would likely backfire: if the government required Scarlett and other customers to pay more for his scarves, they’d be less likely to buy them, leaving Wes even worse off than before. 

The parallel to employers is clear. Even if you think that buyers of labor should pay more if they can afford to do so, it doesn’t follow that the state should make them. And here again, the proposed policy would probably backfire: by making workers costlier to hire, it would discourage employers from buying their labor at all — leaving them not with higher wages, but with no job. At the bare minimum, we should ensure that any policy intended to benefit workers doesn’t harm the very people it aims to help. 

America is on the cusp of the biggest power-hungry decade in a generation. Federal forecasters expect record electricity demand in 2025–26, even as oil producers are carefully managing output. Yet the main reason your bill is climbing isn’t just regional differences, it’s rules. A thicket of tariffs on essential hardware, marathon permitting timelines, and clogged grid interconnection queues layer a “policy premium” onto every kilowatt-hour. In a textbook supply-and-demand sense, demand is racing ahead, driven by AI data centers and electrification, while policy squeezes supply. Worse, Washington keeps “choosing” technologies, inviting regulatory capture and raising costs for everyone. If we want the AI era to benefit households instead of draining their wallets, we need neutral, pro-entry rules that let the cheapest reliable electrons win. 

Energy inflation tells the tale. Headline prices are running hotter than the 2 percent target, and the pressure points are concentrated in utilities. Electricity alone is up roughly 5 percent, and utility gas is up close to 12 percent versus a year ago. Average retail electricity prices have jumped nearly 9 percent already this year. The burden isn’t uniform. North Dakotans pay the lower energy costs, around 11.7¢ per kWh with a typical bill near $112, while Hawaiians pay roughly 42.3¢ and a $203 monthly tab. That gulf largely reflects system design and policy. North Dakota sits on abundant generation with strong ties to the Midcontinent grid; Hawaii is an islanded system importing fuel and equipment with layers of costs. When transmission is constrained and hardware is expensive, consumers pay.

Energy demand is taking off, mainly driven by data centers powering AI. Data-center electricity use tripled over the last decade to roughly 176 terawatt-hours, and federal analysts expect it to double, or even triple, again by 2028. That would take data centers from roughly 4.4 percent of US electricity consumption to something like 10–12 percent in just a few years. In markets with heavy data-center clustering, wholesale prices near key nodes have surged, reportedly doubling or tripling compared with five years ago, and those spikes bleed into retail rates. The largest campuses are now measured in hundreds of acres; Meta’s complex in Prineville, Oregon, covers well over a hundred. None of this is a problem if supply can scale. But supply is boxed in. 

Start with trade policy. The grid is steel, copper, aluminum, power electronics, batteries, transformers, inverters, and miles of conductor, exactly the things Washington keeps taxing. Many power-sector inputs now carry duties in the 25–50 percent range. The administration has announced additional tariffs on medium and heavy trucks, which will raise logistics costs across energy supply chains. For oil and gas, the exemption record is mixed: while crude itself may avoid new levies, drillers and midstream firms still buy tariffed inputs — steel casing, line pipe, valves — magnifying project costs. Steel and aluminum duties, recently doubled to 50 percent in some cases, raise the price of everything from rigs to transmission towers. On the “green” side, tariff policy is even more tangled. Grid-scale batteries face total duty stacks approaching the mid-sixties percent; aluminum and derivative products also pay 25 percent. Solar modules and cells still sit under safeguard tariffs near the mid-teens, layered atop other levies. The result is not a level playing field but a politicized one where lobbyists fight to be a “protected” winner and consumers lose either way. 

Then there’s the permitting time tax. Big energy projects routinely wait six or more years for approvals; some major transmission lines have been in limbo for more than a decade. Meanwhile, the grid clogs and aging infrastructure strains. Transmission congestion alone added roughly $11.5 billion to customer bills last year. Lengthy reviews no longer deliver meaningfully cleaner or safer outcomes; they mostly deliver uncertainty, which raises financing costs and deters entrants. In economics, that’s classic deadweight loss. 

Interconnection is the third vice. You can’t sell power until a grid operator studies how your plant will affect the system. For years, independent system operators and regional transmission organizations have been drowning in applications, many of them speculative. Backlogs keep new capacity — renewables, nuclear uprates, even industrial cogeneration — from plugging in. Regulators have introduced helpful reforms: “cluster studies” that analyze groups of projects at once and “readiness screens” to ensure entrants have site control and basic financing before staff spends months modeling them. But adoption is uneven. Markets like the California Independent System Operator are making headway with annual intake cycles and clearer milestones; others are still stuck, creating a patchwork of rules that adds friction and encourages forum shopping. Even good projects die on the vine if siting processes collide with wildlife, historic-preservation, and local zoning rules that were never designed for 21st-century energy density. 

Why do we tolerate all this? Because we keep trying to direct outcomes, favoring particular fuels, geographies, or industrial constituencies, rather than setting simple, technology-neutral rules. That invites regulatory capture. When agencies tilt toward the loudest incumbent or the trendiest technology, they’re not discovering the lowest-cost path to reliability; they’re rationing permits and tax credits. Households and factories pay the markup. 

What would a pro-consumer pro-technology agenda look like? 

First, stop playing favorites. Drop the tariff thicket on intermediate goods central to generation, storage, and transmission. Don’t carve out oil-and-gas inputs but punish solar or vice versa; end the game entirely. Let firms source the cheapest safe equipment globally and let market competition decide the mix of resources. When inputs get cheaper, so do bills. 

Second, rebuild permitting around shot-clocks, not calendars. Establish firm timelines and a single lead agency for major projects; if the clock runs out, move to a decision on the record. Focus intensive reviews on genuinely high-impact projects and allow routine, low-impact work, like reconductoring existing lines or swapping transformers, to proceed quickly under programmatic approvals. Provide judicial review, but time-limit it to curb endless litigation. 

Third, finish the interconnection fix. Make cluster studies and readiness requirements universal, but tune them so they screen out pure speculation without blocking smaller independent power producers. Publish transparent cost-allocation rules so developers can plan. Align interconnection with long-range transmission planning so we’re not endlessly studying plants for a grid that doesn’t exist yet. 

Fourth, open the door to firm, zero-carbon baseload. Small modular reactors and advanced designs, including molten-salt and thorium-based concepts, should compete on their merits. That means modern licensing that evaluates designs by efficiency and productivity, not lineage; standardized approvals for repeat builds; and clarity on waste handling. Clear the obstacles so private capital can try thorium-powered nuclear. If it can deliver reliable power at scale, the market will adopt it. If not, resources will flow elsewhere. Either way, consumers win. 

Finally, remember why we’re doing this. AI is a once-in-a-century general-purpose technology. It can raise productivity and living standards, but only if the power system scales without crippling costs.  

We don’t need another round of picking winners and losers on the energy front. We need to remove the artificial barriers that make supplying power slow and expensive. Cut the policy premium, tariffs that pad equipment costs, permits that drag on for years, interconnection rules that reward queue gaming, and America’s engineers, utilities, and entrepreneurs will do the rest. The cheapest reliable kilowatt-hour is the one that’s allowed to be built.

In recent decades, and especially since the release of OpenAI’s large language model ChatGPT in 2022, artificial intelligence use has rapidly spread into almost every industry. And as AI proliferates, so do fears that a wave of mass unemployment will follow. Concerns are widespread that AI will be deployed to accomplish an ever-greater share of the labor needed throughout the economy, leaving fewer and fewer jobs available for human workers.

This fear led Dario Amodei, one of the world’s leading AI technologists, to sound the alarm earlier this year about an impending “white-collar bloodbath.” The Anthropic CEO told Axios that one very possible scenario within the next one to five years is that, “Cancer is cured, the economy grows at 10 percent a year, the budget is balanced — and 20 percent of people don’t have jobs.”

This was predictably latched onto by economic interventionists, such as US Senator Bernie Sanders. “We must demand that increased worker productivity from AI benefits working people, not just wealthy stockholders on Wall St,” Sanders posted on X in response to Amodei’s statement. Sanders later posted that, “With the explosion of AI, new technology and increased worker productivity, we should demand a shorter work week, increased life expectancy and a decent standard of living for all.” Other politicians have gone even further since then. US Senator Josh Hawley, like Tucker Carlson started advocating years ago, supports banning self-driving cars to protect the jobs of car and truck drivers.

Indeed, AI has already created countless efficiencies and new capabilities throughout the economy that have made specific jobs redundant. Consider the global herbicide industry. A Bloomberg article titled “AI-Powered Weed-Killing Robots Threaten a $37 Billion Market” explains:

After almost a century of deploying a more-is-more approach to chemical herbicides, the global agricultural sector is rapidly rolling out advancements that promise to curb the use of weed-control sprays by as much as 90 percent. Using artificial-intelligence powered cameras, the new sprayers can identify and target invasive plants while avoiding the cash crops. If even a fraction of growers adopt the new tools, it could mean a big shift for crop-chemical majors like Bayer AG and BASF SE.

This potential tenfold improvement in herbicide use efficiency may significantly reduce the agricultural demand for herbicide production, and thus put many people out of their jobs in that industry. And this is just one example. From facilitating new scientific research methods, to transforming solar cell production, to improving healthcare safety, to proliferating self-driving car use, AI offers new ways of doing things throughout every industry, which devalues some skillsets in the job market and rewards others.

However, there is an opposite fear as well. Last month, during a press conference the day he won the 2025 Nobel Prize in economics, Joel Mokyr gave a speech about the grand sweep of economic history. Toward the end of his lecture he weighed in on the AI job loss debate: “As I see it, the main concern about the labor market is not technological unemployment. It’s labor scarcity.”

Mokyr is an economic historian who is renowned for looking at the big picture. And when you do that, it is clear that technological unemployment is nowhere near as big a concern as the set of problems that AI will help solve if politicians like Bernie Sanders and Josh Hawley don’t succeed in debilitating it.

Specific jobs becoming obsolete is only one side of the coin of technology’s effect on employment. The other side of the coin reveals why artificial intelligence will lead to no overall reduction in employment opportunities. Like all prior technological revolutions, AI will create at least as many jobs as it eliminates, and most importantly, the new jobs will tend to be preferable to and easier to find than the old jobs.

Unemployment rates have remained relatively constant and quite low in recent decades, currently standing at about 4.3 percent in the US and 4.9 percent across the globe, according to recent estimates. This is approximately as low as they have ever been.

Meanwhile, ever since the industrial revolution, there has been an explosion of technological advancement and proliferation that has almost completely transformed all economic industries and everyday life across the globe.

Virtually every instance of technological progress reduces the need to employ some specific form of labor. Dish washing machines have meant that homes and restaurants need only employ a small fraction of the cleaning staff that was once required per meal served. Refrigeration has conserved countless labor hours preserving foods. Electric power has exponentiated the manufacturing capability of each factory worker by enabling a new class of machinery. And the list goes on and on.

The constantly low unemployment rate, in light of recent history’s technological progress, would amaze the Industrial-Revolution-era activist group known as the Luddites, a radical labor movement of anti-technologists who rioted and destroyed factory machinery to protect their jobs from automation in the early 19th-century. Their initial concern was for the jobs of craftsmen competing with mechanized looms and knitting equipment that allowed a single worker to produce the output of a hundred craftsmen. But the scope of Luddite animosity quickly widened to oppose industrialization generally.

The nineteenth-century Luddites made the same mistake, known to economists as the “lump of labor fallacy,” that antagonists of AI are making today. In a New York Times article titled “Trump, Immigration and the Lump of Labor Fallacy,” Nobel Prize winning economist Paul Krugman explains the fallacy: “This is the view that there is a fixed amount of work to be done and that if someone or something — some group of workers or some kind of machine — is doing some of that work, that means fewer jobs for everyone else.”

Krugman also explains why this “lump of labor” view is false:

When incomes rise, people will find something to spend their money on, creating jobs for workers displaced by technology or newcomers to the work force. Machines do, in fact, perform many tasks that used to require people; output per worker is more than four times what it was [in 1952], so we could produce 1952’s level of output with only a quarter as many workers. In fact, however, employment has tripled. … No, AI and automation, for all the changes they may bring, won’t ultimately take away jobs, and neither will immigrants.

The point about “incomes rising” is key, because it is a predictable consequence of technological automation and it is also the reason, along with new forms of work created by new technologies, why the newly created jobs will tend to be preferable to the old jobs.

Workers will only be displaced by technology if the technology is capable of producing more valuable output, meaning some net-positive combination of cheaper and higher quality, than human labor. Otherwise, mechanization won’t be profitable and employers will stick to employing humans. Therefore, we can safely bet that wherever AI is displacing human workers, consumers are benefitting from some net-positive combination of falling prices and rising quality. This means that consumers will have more income left to spend, and will therefore consume an ever-wider range of goods and services, thus funding more and more niche forms of employment that replace the jobs lost to technological improvements in the production process.

This is crystal clear if you look at the history of labor specialization. Since the mid 19th century, agriculture has gone from employing about 70 percent of US workers to employing only 2 percent. Meanwhile, the productivity of US agriculture has massively increased due to improved farming technology and food has become about 10 times more affordable for blue-collar workers in the last century.



If no new jobs had been created in America since 1840, this process would have left 68 percent of the population permanently out of work. But to the contrary, the modern economy is composed largely of jobs that people in any prior century probably never even imagined. Web designers, pet therapists, dietitians, travel agents, nail technicians, cosmetic surgeons, neuroscientists, and countless others are employed in now-common forms of labor that would have seemed either laughably frivolous or entirely unimaginable just a century ago. “Really, therapy for my dog while my children are starving?”

For a detailed description of one of the most recent and frivolous new industries imaginable, read the article titled “Does Your Plant Need a Nanny? A new crop of caretakers will spritz, polish and prune your houseplants — and even send photos while you’re away.” published by the New York Times in April. These new “plant nannies” offer virtual plant visits, and services such as speaking to, lighting, and photographing plants while their owners are away, in addition to traditional plant maintenance practices.

New and ever-more-niche and personalized forms of work are constantly made possible by the vast abundance of labor and consumption freed up by labor-saving technology. Monotonous or backbreaking tasks are left to machines while humans are freed to invent new tasks to pay each other for with all the wealth that technological efficiencies have saved or created for them.

As amazing as the present is compared to the past, the future can be an even more extreme improvement. If AI proves powerful enough to continuously transform the macroeconomy as the fearmongers predict, and so do I, this will mean such massive productivity gains that machines will eventually be running the farms and factories at almost no cost. This will render necessities more and more affordable until almost every worker can engage in more niche artforms, services, and research areas than employ almost anyone full-time in today’s economy. In addition, whole new realms of technological possibility can be unlocked, in outer space, the Metaverse, and elsewhere.

It is hard to imagine ever reaching a logical conclusion of this process, at which artificial intelligence is better than human labor for literally every purpose. That would even involve convincing those who prefer some services to have a “human touch” for sentimental, aesthetic, philosophical, or spiritual reasons that human labor is unhelpful even to them. If AI does get that powerful, that will be an end of material scarcity in which everything is free and worrying about “unemployment” will make no sense at all.

Instead of worrying about that hypothetical utopia of widespread godlike agency and infinite abundance, let’s focus on reducing human drudgery and increasing material wealth by proliferating artificial intelligence and other technological progress in the here and now.