U.S. Federal Reserve Chair Kevin Warsh used his first press conference on June 17 to highlight a pressing and familiar concern: inflation. With U.S. prices rising to 4.2% in May, fuelled partly by geopolitical tensions surrounding the Iran war, the Fed is signalling that controlling inflation remains its top priority.
Investors hoping for quick rate cuts were left disappointed. Warsh indicated that interest rates could remain elevated or even rise further, reinforcing a broader global trend. Across major economies, central banks are shifting away from easing policies.
Data from Bloomberg tracking 52 economies shows rate hikes are now matching rate cuts—a clear indication that policymakers are not yet ready to declare victory over inflation.
Even institutions like the European Central Bank, Bank of Japan, and Bank of England are taking a cautious stance, reflecting widespread concern that inflation—especially from energy and supply shocks—may persist longer than expected.
AI Debate Intensifies—but the Fed Remains Skeptical
While inflation dominates near-term policy, a deeper debate is emerging:
Should central banks factor in AI-driven productivity gains when setting interest rates today?
Supporters of this view argue that artificial intelligence could significantly boost efficiency and reduce inflation over time.
Warsh himself previously echoed this idea, drawing comparisons to former Fed Chair Alan Greenspan’s 1990s bet on productivity during the internet boom.
The argument is also gaining political backing. President Donald Trump’s adviser Kevin Hassett has suggested that AI-led productivity gains could lower inflation and justify rate cuts. Meanwhile, global investors are pouring capital into AI-driven companies, betting heavily on long-term economic transformation.
However, policymakers remain unconvinced.
Productivity Gains Still in Early Stages
Despite the optimism, the data tells a more cautious story. U.S. productivity has improved modestly, with output per hour rising by around 2.2% last year. While positive, this is far from the transformative growth needed to justify immediate policy changes.
Historically, major technological revolutions—from electricity to the internet—have taken years to deliver measurable economic gains. AI appears to be following the same pattern, requiring structural changes in business models, workforce skills, and organisational systems.
This creates a key risk:
Acting on expected productivity gains before they actually materialise.
For the Fed, relying on assumptions rather than evidence could lead to policy missteps and renewed inflation pressures.
The Interest Rate Paradox
There is also a contradiction in the pro-AI narrative.
If AI succeeds in boosting productivity and increasing returns on investment, the economy’s neutral interest rate—the level consistent with stable growth—should actually rise over time. Higher productivity makes capital more valuable, pushing up borrowing costs naturally.
This challenges the idea that AI will justify lower interest rates today. Instead, it suggests the opposite may eventually be true.
Geopolitical Risks Add to Uncertainty
The global backdrop adds another layer of complexity. The Iran-linked conflict has introduced a “war premium” on oil, increasing energy costs and market volatility. This uncertainty impacts currencies, bond markets, and capital flows, particularly in emerging economies that rely on energy imports.
Such conditions make it difficult for central banks to rely on long-term assumptions about disinflation. Instead, they must respond to immediate risks—rising prices, volatile markets, and geopolitical tensions.
Debt Pressures and Policy Incentive
Another underlying factor is government debt. The U.S. federal debt has surpassed 120% of GDP, raising questions about long-term fiscal sustainability.
Historically, inflation has helped reduce high debt levels. In the 1940s, inflation significantly lowered the U.S. debt ratio following World War II. While not an explicit policy goal, this dynamic creates a subtle reality:
Higher inflation can ease debt burdens over time.
This further reduces the urgency for central banks to cut rates aggressively based on uncertain AI-driven gains.
Markets Could React Badly to Premature Easing
There is also a financial market risk that cannot be ignored.
If central banks ease policy too soon, long-term investors may lose confidence in their ability to control inflation. This could lead to higher bond yields, pushing up mortgage rates and corporate borrowing costs—even as central banks attempt to stimulate the economy.
In effect:
- The Fed lowers rates
- Markets push borrowing costs higher anyway
It’s a scenario where monetary policy loses effectiveness—a risk policymakers are keen to avoid.
A Balancing Act Between Present and Future
Central banks now face two opposing forces:
- Short-term reality: Inflation driven by energy costs, demand, and geopolitical tensions
- Long-term promise: AI-driven productivity gains that remain uncertain in timing and scale
The challenge lies not just in whether AI will transform the economy—but when those benefits will actually appear.
Conclusion: Data Over Hype
For now, the Federal Reserve is taking a clear stance:
AI is a promising trend—but not yet a policy driver
Policymakers are choosing evidence over optimism, focusing on measurable economic data rather than speculative forecasts.
Until productivity gains from AI are firmly reflected in economic indicators, the Fed is unlikely to adjust its strategy based on future expectations.
In a world shaped by uncertainty—from war-driven inflation to evolving technologies—the message from central banks is consistent:
Stability comes first. Transformation can wait.
