AI challenges traditional monetary policy logic. Historically, lower interest rates spur capital investment that creates jobs. However, if lower rates now incentivize investment in job-reducing AI, the Fed's primary tool for boosting employment may become less effective or even have ambiguous effects, a new dynamic policymakers must understand.

The massive capital investment in AI by major tech companies has the potential to significantly boost national productivity. This productivity gain could, in turn, lower inflation, providing the Federal Reserve with a rationale to decrease interest rates.

Contrary to the idea that AI justifies rate cuts, the boom is likely increasing the neutral rate of interest (R-star). By stimulating corporate investment and household consumption, AI creates upward pressure on rates, which limits the Federal Reserve's ability to ease monetary policy.

The Federal Reserve’s traditional economic lever—lowering interest rates to spur hiring—is becoming obsolete. In the AI era, companies will use cheaper capital to invest in productivity-boosting AI agents and robots rather than increasing human headcount. This fundamentally breaks the long-standing link between monetary policy and employment.

The Federal Reserve's monetary policy is less effective today. The growth of private credit and large firms self-financing investments (like in AI) means significant economic activity is insulated from traditional bank lending channels, reducing the impact of rate hikes.

The biggest risk to capital-intensive AI ventures isn't a lack of demand but losing access to cheap financing. The current boom is built on borrowing long-dated money at low rates (e.g., 6%). A shift to a higher yield environment (8-10%) would make funding massive, negative cash-flow projects untenable.

A single neutral interest rate may not exist. There could be one R-star for the investment-heavy AI sector and another for housing. A separate R-star might even be needed for financial stability. This divergence means the Fed faces a policy trade-off where a rate that balances one part of the economy could destabilize another.

While AI growth seems organic, low interest rates encourage even healthy companies to take on excessive debt. This is happening now, with some AI-related firms seeing decreasing free cash flow as leverage increases. The private credit market is already showing signs of nervousness about this trend.

Major tech companies are financing their AI build-outs so aggressively that they are undeterred by rising debt costs. This inelastic demand for capital could drive up borrowing costs across the entire corporate bond market, creating a 'crowding out' effect that impacts companies in unrelated sectors.