Episode Summary
Executive Summary: Mark Zandi and Chris talk with Samim Ghamami about Iran’s war-related economic strain, U.S. Treasury market liquidity, the long-run outlook for higher rates amid rising debt and erosion of Treasury’s safe-asset premium, AI’s mixed effects on inflation and the neutral rate, and the promise and opacity of private credit. The discussion emphasizes structural, not cyclical, pressures on markets and policy.
Main Topics: Iran war and economic hardship (Priority: 5/5): Ghamami describes the war in Iran as tragic, notes family safety, and explains that sanctions, inflation, and currency weakness are severely hurting ordinary people. He expects the regime may try to wait out external pressure rather than quickly capitulate. Treasury market liquidity and reform (Priority: 5/5): The speakers revisit Treasury market fragility, with Ghamami saying official-sector reforms have helped keep volatility below 2020 levels, but supply-demand imbalances tied to deficits remain a bigger structural issue. Reforms like clearing and leverage-rule changes are still phasing in. Long-run rates, debt, and the Treasury convenience yield (Priority: 5/5): They agree the 10-year Treasury yield is broadly aligned with nominal potential growth, but Ghamami argues the U.S. still benefits from a reduced yet real convenience yield/exorbitant privilege. As that fades and debt rises, yields should trend higher over time. Inflation, r-star, and the Fed outlook (Priority: 4/5): Ghamami argues the economy is likely to remain more inflationary than in 1990-2020 because of demographics and labor scarcity. He sees AI and productivity as potential offsets, but not enough to justify aggressive rate cuts given a still-high neutral rate and sticky inflation. AI’s macroeconomic effects (Priority: 4/5): Mark and Chris argue AI currently boosts demand more than supply through data-center investment and wealth effects, while productivity gains arrive later. Ghamami agrees AI could raise r-star through higher investment and lower saving, making lower policy rates harder to justify. Private credit as both a useful and risky development (Priority: 5/5): The conversation frames private credit as beneficial for financing small and medium-sized businesses that cannot easily borrow from banks or issue bonds, but risky because the market is opaque, interconnected, and potentially a source of sudden stress despite its current moderate size. Systemic risk monitoring and future concerns (Priority: 4/5): The group closes by highlighting risks that regulators should watch closely: public debt/deficits, inflation, AI-related labor-market disruption, and a possible AI bubble. The key message is that vulnerabilities should be measured before a crisis forces action.
Key Arguments: The Iranian economy is under severe pressure from war, sanctions, inflation, and currency weakness, and ordinary people are the most affected. Treasury-market reform has improved liquidity resilience, but it does not solve the underlying supply-demand imbalance created by large and persistent U.S. deficits. The 10-year Treasury yield being around 4%-4.5% is consistent with nominal potential growth, but it could drift higher as Treasury’s convenience yield erodes. The U.S. still enjoys an exorbitant privilege/convenience yield, but it has declined over the past 10-15 years and is likely to keep fading if global demand for Treasuries weakens. Debt dynamics matter for interest rates: higher debt-to-GDP should push up the neutral real rate and eventually Treasury yields. AI is not an automatic reason for lower rates; near term it may boost demand and inflation, while long run productivity gains may raise potential growth and the neutral rate. Private credit is socially useful because it funds borrowers that banks and public markets often cannot serve, especially smaller or lower-credit-quality firms. The main systemic concern with private credit is opacity: regulators may not see vulnerabilities until a stress event occurs, especially given rising interconnectedness. Private credit could be an idiosyncratic problem today, but complexity and interconnectedness mean it can still transmit shocks widely during crises. The biggest forward-looking risks are public debt/deficits, persistent inflation, AI labor-market disruption, and an AI bubble.
Data Points: War duration in Iran: around three months - Ghamami describes the Iran war as having started about three months before the recording. Debt-to-GDP ratio (publicly traded debt): about 100% - Mark cites the U.S. publicly traded debt-to-GDP ratio as roughly at 100%. Primary deficit: 3% of GDP - Mark notes the primary deficit excluding interest payments is around 3% of GDP. Total deficit: 6% of GDP - Mark says the overall deficit is about 6% of GDP in a full-employment economy. 10-year Treasury yield range: 4% to 4.5% - The speakers describe the recent long-end Treasury range as the likely benchmark level. Pre-COVID 10-year Treasury yield level: below 4% - They contrast the current yield environment with the lower pre-COVID period. Treasury clearing rule implementation: part in December; repo central clearing in June 2027 - Ghamami references phased implementation of Treasury market clearing reforms. Debt-to-yield rule of thumb: about 1 basis point per 1 percentage point rise in debt-to-GDP - Mark cites an empirical rule of thumb from their work and CBO-style analysis. Debt-to-r-star sensitivity: 3.5 basis points for each 1 percentage point increase in debt-to-GDP - Ghamami states the literature suggests the debt ratio can raise the real neutral rate by this amount. Private credit market size: roughly 10% of total non-bank corporate debt - Ghamami characterizes the U.S. private credit market as still relatively contained. Current r-star estimate: around 1.5% - Mark references the New York Fed/John Williams estimate in the AI and Fed discussion. Inflation target comparison: above 2% - The speakers note inflation is still above the Fed’s target in the AI/r-star section. Private credit proxy: BDCs - Mark explains the paper uses business development companies as a public proxy for private credit.
Pivotal Quotes: "the goal of the regime would be to try to wait out this period" — Samim Ghamami: On how Iran may respond to war-related and sanctions-driven economic pressure "we're going to be living in a higher interest rate environment" — Samim Ghamami: On the structural outlook for Treasury yields and the neutral rate "private credit is a good thing if we can monitor, if we can measure and monitor potential vulnerabilities" — Samim Ghamami: On the overall assessment of private credit as a financial-market development
Implications: Listeners should expect a world of structurally higher rates, more inflation risk, and greater financial-system fragility unless debt, opacity, and AI-driven disruptions are monitored early. Private credit and AI are useful but require close oversight.
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Join Chief Economist Mark Zandi, Marisa DiNatale and Cristian deRitis as they discuss key indicators and other aspects of the global economy. Contact us at [email protected]. Visit online at www.economy.com/economicview