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Gita Gopinath on Why Interest Rates Have Surged All Around the World
Brief
The episode centers on why interest rates have been rising globally and how the AI investment boom fits into that story. Hosts Tracy Alloway and Joe Weisenthal set the stage by pointing to market evidence — UK long gilts at their highest since 1998 and the US 10‑year flirting with 5% — and introduce Gita Gopinath (recorded May 27, 2026) to explain why this is more than a temporary shock. Gopinath lays out three core drivers: elevated inflation expectations, sustained large fiscal deficits (she points to U.S. deficits near 7% of GDP), and sharply higher private capital demand from the AI build‑out. Together these forces have pushed the equilibrium real rate (r*) higher than in the pre‑pandemic era; she notes a Fed r* estimate around 1%, implying materially higher nominal rates when combined with a 2% inflation target.
Gopinath and the hosts parse two “crowding‑out” mechanisms. The financial/capital channel — where AI firms absorb massive amounts of debt and equity issuance (the hosts cite Torsten Slok’s data: ~50% of IG issuance year‑to‑date tied to AI, ~40% in high yield) — raises real rates by increasing demand for capital. The real‑economy channel — competition for inputs, labor and energy — can be inflationary and raise nominal rates; Gopinath judges the former currently dominant while warning energy shocks (she mentions a $160/barrel crude scenario) could force faster policy shifts. She also emphasizes structural changes in marginal buyers of sovereign debt (fewer central‑bank purchases, more volatile non‑bank investors and foreign private holders), which increases yield volatility. Policy implications dominate the second half: if r* is rising because of genuine productivity (AI‑driven) growth that’s relatively benign, but if it’s driven by fiscal expansion without productivity gains, that creates longer‑term fiscal stress. Gopinath warns against assuming permanent state backstops — the “bliss trade” — and says overt long‑end yield caps would undermine central‑bank credibility and ultimately be counterproductive. The hosts close by reflecting that much now hinges on whether AI delivers durable productivity gains; if it doesn’t, higher rates and fiscal constraints could reveal sharper vulnerabilities in future shocks.
Why it matters
Gita Gopinath (former IMF first deputy managing director, now Harvard professor) argues the global rise in interest rates reflects a higher equilibrium real rate (r*), driven by three forces: higher inflation expectations, large and persistent fiscal deficits (she cites the US running close to 7% deficits ‘for the foreseeable future’), and a surge in private capital demand from AI-related investment.
Key details
- Gopinath estimates r* is higher than pre‑pandemic — she cites a fed r* forecast around 1% and says adding the Fed’s 2% inflation target implies nominal policy rates nearer 3%, a clear shift from the pre‑pandemic low‑for‑long era.
- Hosts Tracy Alloway and Joe Weisenthal highlighted market evidence of the repricing: the UK long‑end gilt yield recently hit its highest levels since 1998 and the US 10‑year Treasury had been inching toward 5% before recent pullbacks.
- The AI build‑out is materially altering capital markets: Torsten Slok’s chart (referenced by the hosts) shows AI‑related investment accounted for roughly 50% of investment‑grade corporate issuance year‑to‑date and about 40% of high‑yield issuance, producing a ‘crowding‑out’ effect in both financial markets and real resource inputs.
- Gopinath distinguishes two crowding channels: a real‑rate channel (AI raises demand for capital and pushes up real rates) and an inflation channel (AI’s demand for labor, energy, materials could raise nominal inflation). She judges the real‑rate effect currently more important, while energy/geopolitical shocks (e.g., oil hitting $160/barrel scenario) could force faster policy easing via demand destruction.
- Gopinath warns of diminishing fiscal space and a fragile assumption she calls the ‘bliss trade’ — markets’ belief in persistent state backstops. She says the recent resilience owes in part to large pandemic support, but governments may lack the capacity to repeat that scale of support in future crises.