AI's Bull Run and America's Squeezed Majority Are the Same Story

The last time American households felt this bleak about their finances, the Nasdaq was not up 121 percentage points on the rest of the market. That combination — record-low consumer sentiment sitting alongside a historic AI equity boom — is not a paradox. It is the logical output of a monetary and industrial policy architecture that has spent the better part of a decade treating asset prices and wage earners as separate policy problems, and treating them very unequally.

On 2026-05-22, Polymarket posts reported two simultaneous data points that, taken together, describe an economy pulling apart at the seams. Consumer sentiment cratered to a record low, with 57 percent of respondents telling surveyors that high prices are actively eroding their personal finances. Meanwhile, the AI sector of the S&P 500 has outpaced the non-AI portion of the index by 121 percentage points since the start of 2024 — a gap that does not close slowly; it compounds. The question is no longer whether these two facts are related. The question is whether the political system will treat them as one story or keep pretending they are separate.

The Index and the Supermarket Don't Talk to Each Other

The divergence is not subtle. AI-linked companies — semiconductor designers, cloud infrastructure providers, software firms with genuine or anticipated productivity moats — have captured capital flows that would, in a more evenly distributed recovery, have moved into capex and hiring across the broader economy. Instead, the compounding logic of AI adoption creates winner-take-most dynamics: network effects, data advantages, and scale economies that allow the largest players to capture disproportionate shares of an expanding market.

The Federal Reserve's policy posture has played a structural role here. Interest rate settings that favor asset holders over borrowers, and a dollars-supply architecture that routes liquidity through financial markets before it reaches household balance sheets, have ensured that the primary beneficiaries of the post-2020 recovery are those with meaningful equity holdings. Workers without portfolios — and they remain a majority of the working-age population — have seen their real purchasing power compressed by food and energy inflation that does not show up in the headline S&P returns. The index goes up. The supermarket does not get cheaper in proportion.

The Regulatory Hand on the Scale

The structural tilt has not gone unnoticed by policymakers. The SEC's decision to delay plans for tokenized versions of U.S. equities — reported by Polymarket on 2026-05-22 — is instructive even as a delay rather than a reversal. The original ambition to put stocks on-chain would have further democratized access to equity markets through fractional ownership and 24-hour settlement. The political economy of that ambition was always complicated: decentralized finance protocols threaten fee revenue streams that incumbents depend on, and regulatory caution is rarely purely technical. But the practical effect of stalling tokenized equities is to preserve an access structure that favors institutional investors and high-net-worth individuals who already hold the assets.

Equally revealing is the projected AI data center moratorium, which Polymarket assigns a 92 percent probability of passing by year-end, driven by environmental concerns. Here the irony is acute: a policy intervention designed to limit AI's physical footprint would, if enacted, constrain supply in a sector already delivering extraordinary returns to its existing shareholders. The moratorium debate is being framed as an environmental question, but it is also a question about who gets to profit from the next wave of industrial infrastructure — and whether the answer is the companies that already hold the land, the power contracts, and the equity.

The Political Economy of the Squeeze

This is where the 57 percent figure matters most. Consumer sentiment surveys capture something that equity indices cannot: the experience of people whose wages have not kept pace with the cost of the things they need — food, housing, energy, healthcare. The AI boom has been accompanied by, not downstream of, a sustained erosion of purchasing power for the bottom two-thirds of the income distribution. The productivity gains that AI proponents promise — and that may be real — have not yet arrived in a form that shows up in household disposable income. The promise of future abundance does not pay this month's rent.

The IRS's reported consideration of requiring citizenship-status disclosure on next year's tax forms adds a different kind of friction. If enacted, such a measure would impose a compliance and reporting burden on a population that is already spending a higher proportion of its income navigating the ordinary costs of living. The administrative weight falls heaviest on those least equipped to absorb it. The AI sector, by contrast, operates with a degree of regulatory sophistication that is effectively a competitive moat. Two economies, two compliance regimes, one of which is accelerating and one of which is being squeezed.

What Closing the Gap Would Require

The structural answer is not to slow AI. The technology is not the problem — and attempts to present it as such tend to collapse into a cultural grievance rather than a policy argument. The problem is that monetary transmission, fiscal policy, and industrial governance have not been recalibrated to ensure that the productivity gains from automation are broadly distributed rather than captured by a narrowing cohort of capital owners. That recalibration would require interest rate policy more explicitly attentive to distributional outcomes; tax structures that prevent the effective tax rate on capital from falling below the effective rate on labor as AI displaces routine work; and antitrust enforcement that prevents the network-effect advantages of AI platforms from hardening into permanent oligopoly.

None of that is on the current legislative horizon. What is on that horizon — a data center moratorium, a stalled tokenized-equity framework, a citizenship-disclosure form — suggests that the political class is comfortable managing the edges of a configuration that is working, at the macro level, for those who already own the assets. The 57 percent who say their finances are eroding are not invisible. They are simply outside the policy circle that matters most. That is not a technical failure. It is a design choice. And it is a choice that, if left unchallenged, will produce its own consequences — political and economic — as the gap between the index and the supermarket widens past the point where any amount of AI-generated quarterly earnings can paper it over.

This publication's coverage has emphasized the structural divergence between equity-market performance and household-level economic stress — a frame that several wire outlets have treated as a temporary data artefact rather than a durable pattern. We disagree, and the record of the past two years provides the evidence.