The real reason for Trump’s pedal-to-the-metal approach on AI

Why the AI Boom Has Become an Economic Priority for Trump

Sandego.net – President Donald Trump’s increasingly aggressive support for rapid artificial intelligence development puts him in visible tension with some of the industry’s most prominent executives and with much of the public. The political calculation may look unusual so close to the midterm elections, particularly as communities push back against nearby data-center construction and remain wary of how AI could be used. Yet the administration’s urgency may reflect a larger concern: the United States economy has become heavily dependent on continued AI-related investment.

For now, spending on AI systems, computing capacity and data centers is doing more than transforming the technology sector. It is helping support growth, corporate earnings and consumer confidence across the broader economy. A sharp pullback could therefore carry consequences well beyond Silicon Valley.

An economy increasingly tied to AI spending

There is no single measure that captures AI’s full contribution to economic activity, and economists caution that estimates require considerable interpretation. Still, the available figures point to an unusually concentrated source of momentum. ING estimates that technology investment centered on AI and data centers accounts for one-third of year-over-year US economic growth in 2026.

Corporate profits tell a similar story. Goldman Sachs’ chief equity strategist recently said on CNBC that AI investment is responsible for half of the profit growth across the S&P 500. That does not mean every company is directly building AI products, but it highlights how deeply the spending wave has spread through markets, infrastructure providers and major businesses.

Without this surge in capital spending, the economy would be considerably less resilient and could potentially already be in recession. That helps explain why a slower pace of data-center development, chip purchases or AI investment has become a concern for policymakers as well as investors.

The danger if enthusiasm fades

Supporters of AI see the technology as a defining innovation with the capacity to lift productivity over time, much as the internet reshaped work and commerce around the turn of the century. The longer-term case rests on broad adoption: businesses using AI to improve operations, workers gaining new tools, and industries developing products and services that do not yet exist.

The immediate risks are different. Much of today’s market strength is tied to expectations about future AI returns. If investment slows abruptly, those expectations could weaken, pressuring lofty stock prices. Lower equity values would reduce household wealth, while companies facing a less favorable market environment could cut investment plans.

“If the music stops, and if it stops in a big, big way, it’s likely that we’re going to end up in stagnation or outright contraction over a period of at least a year,” Olu Sonola, US head of economic research at Fitch Ratings, said.

Sonola also pointed to the wealth effect as an important part of the equation. Investors whose portfolios have benefited from AI-linked stocks may feel better positioned to spend, supporting a consumer-driven economy. If those holdings decline substantially, that confidence and spending power could fade as well.

The potential fallout would not be confined to technology investors or the biggest companies in the market. AI investment now supports an interconnected chain that includes data-center operators, energy and infrastructure suppliers, chipmakers, debt investors and firms building software around the technology.

“We have this ecosystem that’s spun up around AI,” said John Sedunov, a finance professor at Villanova University. “There are a bunch of companies that are very reliant on each other. And when you break a link in a chain like that, then there’s bound to be fallout.”

A recession scenario, not the expected outcome

Fitch recently modeled a potential AI-driven downturn in which US stock prices fall about 35% over six months, roughly matching the median decline in earlier financial busts. In that scenario, the US economy enters recession and gross domestic product shrinks by 1.5% the following year.

That projection is an illustration of vulnerability, rather than a forecast. Fitch emphasized that a steep plunge in US equities is not its baseline expectation, and there is no specific indication that the AI investment cycle is about to end. Even so, the scenario shows how a reversal in a highly valued and heavily financed sector could spill into employment, business investment and household budgets.

The broader backdrop adds to those concerns. Bond markets have signaled increasing unease over public debt, large budget deficits and persistent inflation. Higher interest rates could follow if those pressures intensify. The war in Iran and extensive corporate borrowing to finance the AI buildout create further strains for an economy already managing multiple risks.

“The equity price bubble risk is definitely a big one” to the global economy, Sonola said. “We’ve seen tariffs, we’ve seen the war. Another shoe is going to drop. We may just not know yet.”

Why the political pressure is likely to continue

Trump’s determination to keep AI development moving quickly may be rooted in this economic dependence. Public skepticism over data centers and AI applications creates a political challenge, but a major slowdown in the sector could be harder to absorb if it weakens growth and damages financial markets before or during an election cycle.

That does not settle the debate over where data centers should be built, how AI should be governed or whether the technology’s gains will be shared widely. Those questions remain central for communities, workers and businesses. But the scale of current investment means decisions about AI are no longer only technology-policy questions; they are increasingly questions about economic stability.

Some experts remain confident that the benefits can outweigh the risks. Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, said the current moment is unusual enough to justify concern but does not expect an AI downturn to become a crisis comparable to 2008.

“I actually think that (AI) is going to be a bit of a stabilizing force… generally promoting net job creation and growth. I am, you can tell, an optimist, though. I know others have other views.”

The outlook ultimately depends on whether AI investment begins producing the productivity gains investors expect, or whether spending and valuations outrun the economic returns. Until that answer becomes clearer, the technology boom will remain both a source of optimism and one of the most consequential risks facing the US economy.