The Federal Reserve's inflation target is 2 percent. Inflation has been running above it for long enough that policymakers are no longer willing to wait for a technology to rescue them from a problem that technology is, in part, creating.
That is the substance of a warning that several Fed officials have issued in recent weeks — and the implications reach well beyond monetary policy. The AI industry has spent three years telling investors, policymakers, and the public that the productivity gains from artificial intelligence will be so large and so swift that they will function as a structural brake on prices. The Fed's own economists are not buying it. More precisely, they are saying: show us the evidence, and until you do, we will not build policy around a promise.
St. Louis Fed president Alberto Musalem made the position explicit in a speech last week, telling Axios that "it would be risky to rely on the prospect of higher productivity growth in the future to solve our inflation problem today." He continued: "AI shows great promise as a transformative technology, but the risks of a miscalculation about its impact on productivity and inflation are too great." The phrase "miscalculation" is doing significant work in that sentence. Musalem is not dismissing AI. He is describing a specific danger: that monetary policy built on a forecast that does not materialize will leave the economy worse off than if policymakers had simply held the line.
The mechanism matters here. The AI investment boom — the data centers, the chips, the infrastructure buildout — is itself inflationary. It consumes capital, drives demand for specialized labor, and strains electrical grids and supply chains. These are costs that arrive now, in the present economy. The productivity gains that are supposed to offset them have not arrived at the same scale. San Francisco Fed president Mary Daly described the gap plainly: "If you talk to companies, they say they haven't seen the productivity yet." She made the remark at the Reagan Economic Forum last Friday, speaking to the same Axios reporters who covered Musalem's speech. Daly added that she remains "bullish" on AI's long-term potential but wants "durable, sustained gains" before treating the technology as a macroeconomic given.
This is the core contradiction the Fed is naming. The AI industry has structured its entire valuation logic around the premise that productivity gains are imminent and transformative. Those valuations — and the investment flows they generate — are already affecting the real economy. The spending is real. The infrastructure demand is real. The energy consumption is real. What is not yet real, at the scale the industry has promised, is the productivity payoff that was supposed to justify all of it.
The original thesis that Tinsel News would put to you is this: the Fed's warning is not primarily about interest rates. It is about who bears the cost when a technology's promise outpaces its delivery — and the answer, as with most such gaps, is not the industry that made the promise.
Consider the beneficiaries of the current moment. Nvidia's market capitalization is built on the premise that AI infrastructure spending will continue at its current trajectory. Microsoft, Google, and Amazon have collectively committed hundreds of billions of dollars to AI infrastructure — investments that are already flowing through their earnings as capital expenditure and through the broader economy as demand pressure. The companies making these bets have the resources to absorb a delay in productivity payoff. The workers whose wages are being squeezed by above-target inflation do not have that buffer. If the AI productivity boom arrives two years late, as the World Economic Forum survey of economists suggests, the shareholders of Nvidia will still be shareholders of Nvidia. The family paying more for groceries and rent in the meantime does not get a refund.
This is the power and money structure that the inflation debate tends to obscure. The framing of "will AI solve inflation?" treats the question as technical — a matter of economic modeling, of productivity statistics, of lag times. But the question of who bears the cost of the gap between AI's promise and AI's delivery is not technical. It is political. And the answer is already visible in the data. According to the Bureau of Labor Statistics figures cited by Axios, productivity has averaged about 2.4 percent annually over the past three years, up from 1.5 percent during the 2010s. That is a meaningful improvement. The problem is that economists cannot cleanly attribute it to AI — because productivity started rising before most companies had adopted AI at scale. The improvement may reflect other factors: post-pandemic labor market shifts, earlier automation, supply chain normalization. The AI industry has been happy to take credit for a productivity surge it cannot yet prove it caused.
Fed chair Kevin Warsh has argued publicly that AI will be a "significant disinflationary force, increasing productivity and bolstering American competitiveness" — a position he staked out in a Wall Street Journal op-ed late last year. The theory: if AI helps workers and businesses produce more with the same resources, the economy can grow faster without generating inflation, giving the Fed room to lower rates. Fed presidents Musalem and Daly are, in effect, publicly disputing their own chair's framework.
The political economy of that credit-claiming is worth examining. Warsh's argument — that AI justifies lower interest rates — is, in practice, an argument that benefits the companies making the largest AI investments. Lower rates reduce borrowing costs. They inflate asset valuations. They make the capital expenditure programs that Big Tech has announced easier to finance. The companies that would benefit most directly from a Fed chair who takes AI productivity gains on faith are the same companies whose valuations depend on AI productivity gains being real. That is not a conspiracy. It is an incentive structure, and it is worth naming.
It is also worth noting the parallel that Daly herself invoked. Internet-fueled productivity gains in the 1990s, she said, were visible "everywhere except in the statistics" for years before they showed up in the data. The 1990s tech boom eventually did produce real productivity gains — but it also produced a speculative bubble that wiped out trillions in paper wealth when the gap between promise and delivery became impossible to ignore. The investors who got out early were fine. The workers whose 401(k)s were loaded with dot-com stocks were not. The pattern of who absorbs the downside of technology's broken promises has a consistent shape.
This connects to a broader dynamic in how AI's economic story is being told. The industry's spokespeople, its investors, and the policy advocates aligned with them have constructed a narrative in which AI's benefits are both inevitable and imminent — and in which skepticism about that timeline is framed as Luddism or ignorance. The Fed officials pushing back on the productivity assumption are not skeptics of AI as a technology. Daly explicitly said she is "bullish." What they are skeptical of is the use of an unverified future productivity gain as a justification for monetary policy decisions that have immediate, concrete consequences for inflation. That is a distinction the AI industry's promotional apparatus has little interest in preserving.
For a parallel case study in how corporate AI spending affects workers in real time, Tinsel News has covered how companies are cutting parental leave and retirement contributions to fund AI investments — a transfer of resources from workers to technology spending that is happening now, not in the future. The productivity gains that are supposed to eventually benefit those same workers remain, as the Fed's economists note, largely theoretical at scale.
The WEF survey finding — that most sectors won't see notable AI-driven productivity gains for another two years — matters precisely because two years is not an abstraction in monetary policy. It is the difference between rate decisions made today and the economic conditions those decisions will shape. If the Fed were to accept Warsh's framework and ease rates on the basis of AI productivity gains that are still two years away, the near-term effect would be to add demand pressure to an economy already running above the inflation target. The people who benefit from easier credit conditions in that scenario are, again, not the workers paying above-target prices at the grocery store.
There is a structural accountability question embedded in all of this that rarely gets asked directly: who is responsible when a technology sector's productivity promises shape macroeconomic policy, and the promises don't materialize on schedule? The AI industry has no formal accountability mechanism for its forecasts. No regulator grades its productivity claims against outcomes. No disclosure requirement forces it to distinguish between what it can demonstrate and what it is projecting. The SEC's recent retreat from climate disclosure rules — which Tinsel News covered as a decision that leaves investors without the information they need to assess corporate claims — is part of the same pattern: powerful industries making consequential public claims with minimal obligation to verify them.
The Fed officials speaking up now are doing something that the institutional architecture rarely demands: they are asking for evidence before acting on a forecast. Musalem's formulation — "keep our guard up against persistent above-target inflation today, rather than base monetary policy on the hope that we will have higher productivity growth tomorrow" — is, in the context of the current political economy of AI, a genuinely disruptive position. It says that the burden of proof lies with those making the promise, not with those asking whether the promise is real.
The AI industry will continue to invest, and some of those investments will eventually produce real productivity gains. That is probable. What is also probable, based on the WEF survey and the Fed's own read of the data, is that the timeline the industry has promoted — and that some policymakers have incorporated into their frameworks — is optimistic in ways that serve the industry's interests more than they serve the public's. The inflation that workers are living with right now is not a forecast. It is a fact. The productivity gains that are supposed to offset it remain, for the moment, a promise — and the Fed, at least, is no longer willing to treat the two as equivalent.
