AlphaMaven AlphaMaven

Bill Ackman: AI’s “Near Infinite ROI” Could Undo Fed Strategy

Reported by Tikr
Sep 28, 2026· 3 min read
Save Post LinkedIn Email
Key Takeaways
  • • Bill Ackman argues the Federal Reserve's September 2026 rate increase may prove counterproductive, contending that demand for compute and energy will remain inelastic because "winning the race for super intelligence has a near infinite ROI."
  • • The Pershing Square CEO claims higher interest rates will amplify inflation rather than reduce it, since "interest costs are embedded in everything"—a direct challenge to conventional monetary policy transmission mechanisms.
  • • The Federal Open Market Committee raised the federal funds target range to 3.75%–4.00% on September 16, 2026 (the first increase since 2023), citing elevated inflation, while the 30-year fixed mortgage rate climbed to 7.03% from 6.30% year-over-year.
  • • Ackman's thesis hinges on the divergence between rate-sensitive sectors (housing, traditional consumption) and AI infrastructure spending, which he asserts will remain economically justified regardless of cost of capital dynamics.
  • • Academic consensus and empirical evidence from the past 60 years support that higher policy rates lower aggregate inflation over a one- to three-year horizon, positioning Ackman's argument as a contrarian outlier.
Summary
Bill Ackman, CEO of Pershing Square Capital Management, challenged the Federal Reserve's monetary policy stance in late September 2026, arguing that the central bank's decision to raise rates may backfire by accelerating rather than restraining inflation. On September 16, the Federal Open Market Committee increased the federal funds target range by 25 basis points to 3.75%–4.00%, marking its first rate hike since 2023. The committee cited persistent inflation concerns in its statement. Eight days later, Ackman posted on X that the Fed "might have just made a mistake," laying out a two-part argument rooted in AI infrastructure economics.

Ackman's core contention rests on the premise that artificial intelligence development and deployment constitute a unique investment category with "near infinite ROI." Under this framework, demand for compute and energy resources—the foundational inputs for AI systems—will remain inelastic to interest rate changes. Unlike traditional capital expenditures that respond to discount rate assumptions, Ackman suggests that firms competing in what he frames as a "race for super intelligence" will continue to invest aggressively regardless of borrowing costs. This demand inelasticity, he argues, will prevent the Fed's rate increases from cooling the cost drivers underpinning inflation.

The second mechanism Ackman invokes is the pass-through effect: because "interest costs are embedded in everything," higher rates will translate directly into elevated pricing across the economy. This creates a paradoxical outcome where tightening monetary policy amplifies inflation, not reduces it. The timing of this argument is notable given real-world mortgage data; the 30-year fixed mortgage rate reached 7.03% in late September 2026, up from 6.30% a year earlier. With shelter comprising over one-third of the Consumer Price Index and the August 2026 CPI report showing headline inflation at 3.4% and core at 2.4%, rate-sensitive housing costs provide surface-level credibility to Ackman's claim that consumers are already experiencing higher prices following Fed tightening.

However, Ackman's hypothesis departs sharply from mainstream macroeconomic consensus. Empirical research spanning six decades demonstrates that higher policy rates lower aggregate inflation over a one- to three-year horizon. While measured mechanisms exist to support specific elements of Ackman's argument—certain prices do rise with rate increases, and economists have constructed theoretical models supporting his logic—the causal weight of evidence contradicts the claim as a statement about economy-wide inflation dynamics. The distinction between sector-specific price increases (housing, shelter) and aggregate inflation trends remains critical to evaluating whether AI infrastructure's asserted ROI immunity fundamentally alters the Fed's policy transmission mechanisms or represents a cyclical phenomenon within a structurally sound framework.

Go deeper than the headline

Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.

Start your free 7-day trial

Sources

1 outlet

AlphaMaven summarised this story from the reporting below. Each link opens the original article.

Tikr Bill Ackman: AI’s “Near Infinite ROI” Could Undo Fed Strategy