Could an AI/Data Center Crash Be Coming?

An uncomfortable contradiction sits at the center of the artificial-intelligence boom.

The public is becoming increasingly skeptical of AI and the massive data centers it requires. At the same time, the investment boom surrounding AI has become an important engine of economic growth. And it is also a significant driver of stock market profits.

That raises a question that deserves more attention: What happens if public opposition slows or stops the investment boom?

The AI industry has not exactly helped itself.

Writing in National Review, Michael Brendan Dougherty observes that the industry has engaged in what he calls “self-sabotage. “No industry in the history of the world has marketed itself with such imbecilic self-sabotage: What we’re building is horrible, will ruin your livelihood, and possibly enslave you!” Examples include:

• Sam Altman signed a 2023 letter warning that AI posed a risk of human extinction.
• Nvidia CEO Jensen Huang has talked about AI touching “every job.”
• Anthropic CEO Dario Amodei warned of a potentially dramatic increase in unemployment.
• Geoffrey Hinton, one of the pioneers of modern AI, has warned of tens of millions of jobs being displaced.

Ouch. This very same industry then asks communities to welcome enormous data centers, consume large quantities of electricity and water, reshape local infrastructure and accept the consequences.

It should not be surprising that people are skeptical. And the polling suggests they are.

Recent surveys from Pew Research, Gallup, Ipsos and Harvard CAPS/Harris show growing concern about AI. A Harvard CAPS/Harris poll in July found that roughly two-thirds of voters favored slowing AI development. An NBC News poll cited by Dougherty found AI with a net-favorability rating of minus 20.

The same skepticism increasingly extends to data centers. That presents a political problem for an industry that requires enormous amounts of capital. Data centers cannot be built incrementally on the assumption that the public will eventually figure out their value. They require land, electricity, transmission infrastructure, cooling systems, generators, semiconductor equipment, and billions of dollars in financing.

Yet there is another side to this story.

The AI boom is not merely a Wall Street phenomenon. It has become an important part of the real economy.

The Wall Street Journal recently reported that annualized business investment in software, data centers and computer and communications equipment had reached approximately $1.5 trillion, up from about $1 trillion two years earlier. June data-center construction outlays alone reached an annual rate of $68.3 billion.

That spending creates construction jobs, manufacturing demand and local tax revenues. It also produces secondary demand for everything from electrical equipment to cooling systems and backup generators.

Oxford Economics economist Michael Pearce estimates that AI investment alone has accounted for nearly one-quarter of recent GDP growth. Investment and the stock-market effects associated with the AI boom may account for roughly one-third of recent economic growth.

That is an extraordinary number.

The stock market provides another channel. The enormous gains in companies associated with AI have increased household wealth. The Federal Reserve reported household net worth of $174 trillion in the first quarter, up $13 trillion from a year earlier, largely because of stock gains. For millions of Americans, that is not an abstract statistic. It is reflected in their 401(k) balances.

The bullish case for AI therefore contains an important assumption: the investment continues.

Analysts now estimate that five major hyperscalers—Alphabet, Amazon, Meta, Microsoft and Oracle—could spend nearly $4 trillion on capital expenditures through 2029.

But what if they don’t?

The problem need not be limited to AI failing. Expectations may have outpaced reality.

If public opposition slows data-center construction, companies reduce capital spending, or investors begin questioning whether projected AI revenues justify the enormous expenditures, the effects could spread well beyond Silicon Valley.

Construction spending would decline. Equipment orders would fall. Tax revenues would weaken. Debt financing could become more difficult. Technology stocks could be repriced sharply.

And falling technology stocks could affect household wealth, consumer spending, and retirement accounts.

This is not an argument against AI.

Quite the opposite. America should want technological leadership. The United States has historically benefited when private capital builds the infrastructure necessary for the next generation of economic and military power.

But technological progress requires more than capital. And it requires public confidence.

The AI industry has spent years telling Americans why they should fear what it is building. It’s not surprising that Americans listened.

The danger is that opposition to AI and data centers could become strong enough to interrupt an investment boom on which much of the economy and perhaps our 401(k)s have come to depend. And the danger is also that AI’s benefits get lost in the debate.

Endnotes

1. Michael Brendan Dougherty, “AI’s Bad Reputation Is of Its Own Making,” National Review, July 2026. Dougherty argues that the AI industry has contributed to its own public-relations problem by simultaneously warning about catastrophic risks, job displacement and social disruption while asking communities to facilitate massive AI infrastructure projects.
   https://www.nationalreview.com/2026/07/ais-bad-reputation-is-of-its-own-making/
2. Pew Research Center, “Americans and AI,” June 17, 2026. The Pew survey documents Americans’ attitudes toward artificial intelligence and provides data on growing concerns about its effects.
   https://www.pewresearch.org/wp-content/uploads/sites/20/2026/06/PI_2026.06.17_Americans-and-AI_REPORT.pdf
3. Gallup, “Generative AI Adoption Steady as Skepticism Climbs.” Gallup’s polling tracks Americans’ adoption of and concerns about generative artificial intelligence.
   https://news.gallup.com/poll/708224/gen-adoption-steady-skepticism-climbs.aspx
4. Ipsos, “Global Attitudes to AI 2026: Wonder vs. Worry Divide Deepens.” The Ipsos survey examines international public attitudes toward AI, including the growing divide between enthusiasm and concern.
   Rhttps://www.ipsos.com/en-be/global-attitudes-ai-2026-wonder-vs-worry-divide-deepensead the Ipsos survey
5. Harvard CAPS/Harris Poll, July 2026. The poll cited in the article found that approximately two-thirds of voters favored slowing the development of artificial intelligence.
   https://www.harrisx.com/posts/july-harvard-caps-harrisx-poll
6. Justin Lahart, “The AI Boom Is Transforming the American Economy Beyond Recognition,” The Wall Street Journal, August 3, 2026. Lahart examines the increasingly important role AI-related investment is playing in economic growth, construction, employment, household wealth and financial markets. The article reports annualized AI-related investment of approximately $1.5 trillion and cites estimates that AI investment may account for nearly one-quarter of recent GDP growth. https://www.wsj.com/economy/the-ai-boom-is-transforming-the-american-economy-beyond-recognition-c7825b31

• Wall Street Journal / Federal Reserve data on household wealth. The Journal reports that U.S. household net worth reached $174 trillion in the first quarter, an increase of $13 trillion from a year earlier, with stock-market gains accounting for much of the increase.
• AI capital spending and debt financing. The Wall Street Journal reports that capital spending by Alphabet, Amazon, Meta, Microsoft and Oracle is projected to approach $4 trillion over the four years through 2029. It also cites Barclays’ estimate that bond issuance by the five hyperscalers and SpaceX could reach $285 billion in 2026, compared with $109 billion the previous year.
• The AI boom has created economic vulnerability. The Wall Street Journal notes that the same AI investment that is supporting economic growth could become a vulnerability if the boom fizzles, with economists warning that the economy has become unusually dependent on continued AI-related investment.

7. AI Investment Accounts for One-Third of US Growth, https://economy.ac/news/2026/08/202608289691
8. Why Big Tech’s AI Spending Is $3 Trillion Higher Than It Seems, WSJ, https://www.wsj.com/tech/ai/why-big-techs-ai-spending-is-3-trillion-higher-than-it-seems-e1067bb2

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