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Ben Casselman

NYT Economics Correspondent Ben Casselman Explains**bond Yields and Borrowing Costs**inflation's Mechanical Link to Yields**federal Debt Creates a Compounding Risk**treasury Buyback Intervention Has Limited Effectiveness
3episodes
2podcasts

Featured On 2 Podcasts

All Appearances

3 episodes
The Daily (NYT)

The Bond Market Is Flipping Out. Here’s Why You Should Care.

The Daily (NYT)
28 minChief Economics Correspondent, The New York Times

AI Summary

→ WHAT IT COVERS NYT economics correspondent Ben Casselman explains the US bond market to general audiences, covering why 10-year Treasury yields have risen to 5% — a three-year high — and how this directly affects mortgage rates, car loans, and the federal government's $2 trillion annual deficit spending. → KEY INSIGHTS - **Bond yields and borrowing costs:** The 10-year US Treasury yield functions as the baseline interest rate for virtually all consumer borrowing. When it rises to 5%, banks add a premium on top, directly raising mortgage and auto loan rates. Tracking the 10-year Treasury yield gives consumers advance warning of where personal borrowing costs are heading. - **Inflation's mechanical link to yields:** Investors demand yields that at minimum match expected inflation to avoid losing purchasing power on their principal. When inflation rises from 2% to 3% or 4%, bond yields must rise proportionally just to break even. Monitoring inflation forecasts therefore predicts near-term yield direction before rate changes officially materialize. - **Federal debt creates a compounding risk cycle:** The US currently spends $7.5 trillion annually while collecting $5.5 trillion in taxes, borrowing $2 trillion to cover the gap. Interest payments alone now exceed $1 trillion per year — more than defense spending. Higher yields increase that interest burden, which expands the deficit, which makes investors more nervous, pushing yields higher still. - **Treasury buyback intervention has limited effectiveness:** The Treasury Department's August plan to buy back billions in long-term bonds failed to suppress yields beyond a few hours. With roughly $1 trillion in Treasuries trading daily, the government lacks sufficient firepower to meaningfully move its own market. Structural deficit reduction — spending cuts or tax increases — is the only mechanism analysts identify as capable of sustainably lowering yields. - **5% yields may represent a return to historical norms:** Before the 2008 financial crisis, 10-year Treasury yields consistently hovered near 5%. The ultra-low rate environment of the past two decades — bottoming at 0.5% during the pandemic — may have been the historical anomaly. Consumers and investors should plan financial decisions assuming elevated borrowing costs persist rather than expecting a return to post-2008 lows. → NOTABLE MOMENT Casselman notes that his parents paid an 11% mortgage rate in the mid-1980s, with a variable rate peaking at 18% — yet their home cost a fraction of today's prices. Current buyers face both high prices and high rates simultaneously, a combination without modern precedent. 💼 SPONSORS None detected 🏷️ Bond Market, US Treasury Yields, Federal Deficit, Mortgage Rates, Inflation

The Daily (NYT)

What A.I. Is Actually Doing to the Economy

The Daily (NYT)
34 minChief Economics Correspondent, New York Times

AI Summary

→ WHAT IT COVERS NYT economics correspondent Ben Casselman examines why AI's actual economic impact remains difficult to measure, using two contrasting 1990s case studies — the gradual Internet revolution and the rapid China trade shock — to frame two possible futures for AI-driven labor disruption across the U.S. economy. → KEY INSIGHTS - **Data Infrastructure Gap:** U.S. government economic data, including the monthly jobs report, does not track the tech industry as a standalone category — it is split across information, professional services, and manufacturing sectors. Policymakers and workers relying on official data to detect AI-driven job losses will miss early warning signals entirely until disruption is already widespread. - **J-Curve Adoption Pattern:** Economists use a J-curve framework to explain why transformative technologies initially reduce productivity before gains emerge. Companies and workers spend the early phase figuring out how to use the tool effectively. AI may currently sit in the downward scoop of that curve, meaning visible economic impact — positive or negative — is still ahead, not yet present. - **CEO Incentive Distortion:** When companies announce AI-driven layoffs, treat those claims with skepticism. Investors currently reward AI adoption narratives with higher stock prices and increased funding. CEOs who overhired during the post-pandemic boom are financially incentivized to attribute workforce reductions to AI productivity gains rather than to prior hiring mistakes or slowing business conditions. - **Speed Determines Severity:** The Internet revolution eliminated travel agents, typists, and bank tellers gradually over decades, allowing workers time to retrain and pivot. The China trade shock wiped out furniture and textile manufacturing in concentrated regions like Hickory, North Carolina within months, triggering lasting community collapse. AI's economic harm will scale directly with how fast displacement occurs. - **Policy Readiness Gap:** Economists recommend three immediate steps: improve real-time labor measurement tools, strengthen the existing unemployment insurance system — exposed as structurally fragile during the pandemic — and redesign trade adjustment assistance programs that failed displaced manufacturing workers in the 1990s. No comprehensive AI-specific labor policy currently exists at the federal or state level. → NOTABLE MOMENT Casselman reveals that roughly 200 economists recently signed a joint statement warning that AI could represent a larger economic transformation than the Industrial Revolution, but compressed into a dramatically shorter timeframe — a projection that even cautious mainstream economists are treating as credible rather than speculative. 💼 SPONSORS [{"name": "Schwab", "url": "https://schwab.com"}, {"name": "Squarespace", "url": "https://squarespace.com/nyt"}, {"name": "NetSuite", "url": "https://netsuite.ai/nyt"}, {"name": "Olly", "url": "https://olly.com"}] 🏷️ AI Labor Market, Economic Disruption, Jobs Data Measurement, Technology Adoption, U.S. Trade Policy

Planet Money

Would you trust an economist with your economy?

Planet Money
32 minNew York Times Economics Reporter

AI Summary

→ WHAT IT COVERS Planet Money examines declining public trust in economists following major forecasting failures, data skepticism, and political attacks on economic institutions like the Bureau of Labor Statistics. → KEY QUESTIONS ANSWERED - Why do people distrust economists more than weather forecasters? - How are economists adapting their methods to rebuild credibility? - What happens when political leaders attack economic data agencies? → KEY TOPICS DISCUSSED - Trust Crisis Origins: Financial crisis forecasting failures, housing bubble misses, and aggregate data limitations created widespread skepticism about economic expertise and professional recommendations among policymakers and public. - Rebuilding Credibility Strategies: Economists adopt transparency measures, acknowledge past mistakes, incorporate nuanced micro-level data, and engage directly with affected communities to restore professional standing and policy influence. → NOTABLE MOMENT President Trump fires Bureau of Labor Statistics head after jobs report revision, with economist Aaron Sojourner admitting this political interference now makes him question data reliability. 💼 SPONSORS [{"name": "Amazon Ads", "url": "advertising.amazon.com"}, {"name": "Vanguard", "url": "vanguard.com/audio"}, {"name": "Synchrony Bank", "url": "synchrony.com/npr"}] 🏷️ Economic Trust, Data Integrity, Professional Credibility, Policy Influence

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Frequently Asked Questions

What podcasts has Ben Casselman appeared on?

Ben Casselman has appeared on 2 podcasts we summarize, including The Daily (NYT), Planet Money — 3 episodes in total. Every appearance is listed below with an AI-generated summary.

Does Ben Casselman appear as a guest speaker on podcasts?

Yes. Ben Casselman has been a guest on 2 shows we track, across 3 episodes. Browse each appearance below to read the key takeaways and listen to the original.

Where can I find summaries of Ben Casselman's interviews?

Read AI-generated summaries of all 3 of Ben Casselman's podcast appearances on SignalCast — each with key insights and a link to the full episode.

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