Claudia Sahm: Thinking Through Scenarios in a Whiplash Economy

Episode Summary

Executive Summary: Claudia Somm discusses her Fed-trained approach to macroeconomics, the post-pandemic “whiplash economy,” and why today’s supply shocks, tariffs, Middle East conflict, and AI make policymaking more scenario-driven than forecast-driven. She argues the Fed will likely stay patient, data-dependent, and reluctant to hike unless inflation reaccelerates materially, while also warning that underfunded statistical agencies and noisy data make the economic picture harder to read.

Main Topics: Fed Training and Crisis-Era Lessons (Priority: 5/5): Somm explains how Michigan’s applied macro and survey training prepared her for the Fed, and how entering in 2007 during the financial crisis taught her to distrust historical patterns and focus on the data story rather than just point forecasts. Writing, Communication, and Explaining the Fed (Priority: 4/5): She describes blogging and opinion writing as a way to translate complex Fed and macro concepts for non-economists, arguing that clarity and institutional understanding are essential for accountability. The Whiplash Economy and Supply Shocks (Priority: 5/5): Somm characterizes the current U.S. economy as being shaped by repeated supply shocks—pandemic disruptions, tariffs, wars, immigration swings, and energy shocks—that can raise inflation while slowing growth. Inflation, Gas Prices, and Fed Patience (Priority: 5/5): She argues the Fed is watching not just current gas prices but inflation expectations and persistence, and is likely to remain in a holding pattern because inflation has been above target for years and shocks are still unfolding. AI as a Long-Run Boost, Short-Run Uncertainty (Priority: 4/5): Somm is constructive on AI’s long-run effects on productivity and disinflation, but cautions that near-term capital spending, energy demand, and labor-market disruption could temporarily add inflationary pressure. Tariffs, Trade, and Political Economy (Priority: 4/5): She says tariffs are being borne largely by U.S. businesses and consumers, have been disruptive, and may be difficult to roll back because they now also function as revenue in a high-deficit environment. Economic Statistics, Data Quality, and Institutional Neglect (Priority: 5/5): Somm worries less about direct political manipulation of data than about chronic underinvestment in statistical agencies, smaller surveys, lower response rates, and worse signal quality in official data.

Key Arguments: Fed policy should be based on the full distribution of risks, not a single base case, because repeated shocks have made the economy unusually unstable and hard to forecast. The Fed is not well suited to fight supply shocks with interest rates; rate changes can’t fix labor supply, productivity, or energy supply problems. Even with higher inflation and energy shocks, the current Fed is more likely to wait for confirmation than to preemptively hike, because it has been burned by persistent inflation. AI is likely disinflationary and productivity-enhancing over the long run, but its transition costs mean the Fed should not rush to cut on the assumption of future benefits. Tariffs appear to be largely paid by U.S. firms and consumers, and reversing them later may be politically difficult because they contribute to federal revenue. The biggest threat to economic statistics is not obvious manipulation but declining funding, staff losses, and shrinking surveys that make data noisier and less reliable. The SOM Rule is useful as a simple automatic stabilizer trigger, but recent labor-supply shocks show why recession indicators can be strained when the fundamentals of the labor market shift. Weak payroll growth does not necessarily imply recession when labor-force growth is near zero; the “break-even” jobs number can be close to zero in a slow-growing labor supply environment.

Data Points: PhD completion / Fed entry: 2007 - Somm joined the Federal Reserve in the summer of 2007 right before the global financial crisis and Great Recession. Fed experience: 10 years - She worked for a decade on the Fed staff’s macroeconomic forecast. Macro Mom blog launch: 2017 - She started her Macro Mom blog in 2017. Stay at Home Macro Substack launch: 2021 - She began the Substack in 2021. Inflation above target: 5 years - She says inflation has been above the Fed’s target for a full five years. Gas price reference point: More than $4 a gallon - Used to illustrate consumer pain from supply shocks and energy prices. SOM Rule trigger threshold: 0.5 percentage point increase - If the three-month average unemployment rate rises by half a percentage point from its 12-month low, the rule flags the early months of recession. SOM Rule lookback window: 12 months - The rule compares current unemployment to the low over the prior year. Payroll declines since January 2025: 40% of months - She noted that since January 2025, monthly payrolls declined in roughly 40% of months. Typical recession payroll decline frequency: 80% of months - During recessions, about 80% of months historically show declining payrolls. Typical pre-recession payroll decline frequency: 10% of months - In the year before recession, monthly payroll declines historically are around 10%. Fed target inflation: 2% - Referenced as the Fed’s inflation goal when discussing whether higher inflation is becoming entrenched. U.S. economy size: Over $30 trillion - Used to illustrate the measurement challenge facing statistical agencies. Labor force / business scale: Over 100 million workers; tens of millions of businesses - Used to explain why official statistics require significant investment and modern methods.

Pivotal Quotes: "“be right for the wrong reason is still wrong”" — Claudia Somm: She explains that forecasters must understand the economic story, not just hit the number. "“It’s not just about what you think is the most likely thing to happen in the economy... it’s about managing around and staying away from the worst case scenarios”" — Claudia Somm: She describes how the Fed should operate in the current shock-driven environment. "“understanding is the first step towards accountability”" — Claudia Somm: She explains why she writes about the Fed and public policy for broader audiences.

Implications: Investors should expect a cautious, data-dependent Fed in a noisy economy shaped by overlapping shocks. Longer term, AI may boost productivity and easing disinflation, but weak statistical funding and policy uncertainty will make signals harder to trust.