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Why Argentina Is the Test Case for the Whole World, 1.93 Million Americans Have Been Jobless for Six Months, AI Will Break the Banks| Weekly Recap

Sunday, 4 October 2026 · 3 min read · Listen to the episode ↗

Argentina’s monthly inflation fell from 25.5% when Javier Milei took office to 1.7%, making the country a test of whether fiscal discipline can endure political opposition. In the U.S., 1.93 million people had been unemployed for at least six months in August, even as the headline rate held at 4.1%. The episode also examines how AI agents moving cash to higher-yield accounts could rapidly pressure banks’ deposit funding, without making bank failures inevitable.

Argentina’s monthly inflation fell from 25.5% when Javier Milei took office in December 2023 to 4.6% in June 2024, 2.7% in December, and later 1.7%. The speaker credits fiscal discipline and government surpluses with helping stabilize the country, calling the decline a major win, but stresses that the adjustment is difficult, faces opposition, and could threaten Milei’s ability to remain in power. Argentina is presented as a test of whether a government can sustain that kind of change.

The discussion distinguishes austerity, defined as fiscal discipline and a balanced budget, from “trickle-down economics,” which the speaker calls a political talking point. Productive investment can create jobs, they argue, but globalization and offshoring kept many of those jobs from reaching U.S. workers. Bringing manufacturing back could expand blue-collar employment and strengthen workers’ ability to seek higher wages. The speaker warns that U.S. austerity could provoke violent protests and a period resembling France, while suggesting the country’s entrepreneurial culture may help it resist.

Long-term unemployment is rising even as the headline unemployment rate remains steady at 4.1%. The number of Americans unemployed for at least six months increased from 1.06 million in February 2023 to 1.93 million in August, an 82% rise over three and a half years. Total unemployment rose from just under 6 million to 7 million, or 17%, while the long-term unemployed’s share climbed from fewer than one in five to more than one in four. Average unemployment duration increased from 19 to 26 weeks.

The speaker argues that the 4.1% rate understates labor-market weakness because it excludes people who have stopped looking for work. Adding roughly 8% of people who have opted out could put unemployment closer to 12%, they estimate, and say that share may now be higher. Employers added 162,000 jobs in August, but the speaker expects the figure may be revised down. The figures point to a labor market where a stable headline rate coexists with more people out of work for longer.

Apollo chief economist Horstin Slok warned in a September 27 note, “Is an Agentic Bank Run Coming?”, that AI agents could move household cash into higher-yield accounts and drain banks of cheap deposits. The note cited accounts paying 3%–5%, compared with a 0.1% national average. The speaker says banks lend most deposits and keep only a small amount available, relying on customers not to withdraw funds all at once. A rapid shift in deposits could therefore pressure bank funding, though the speaker emphasizes that AI would not automatically make banks fail.

The speaker says Muse can already use Plaid to view balances, transactions, and investments across more than 12,000 financial institutions, but cannot yet move money. They expect that capability to arrive, allowing AI to direct idle cash toward higher yields; even agents that only recommend transfers could accelerate the shift if users act on the advice. The timing is uncertain, though the speaker expects major changes within 10 years. Higher-yield alternatives may also carry greater risks, so banks are urged to modernize systems, reconsider reserves, improve solvency, and prepare for faster money movement. The discussion says regulation has limited competition and that crypto firms’ ability to offer attractive payments remains in a legislative gray area.

AI may also make entry-level work harder to get by taking over tasks that once helped new hires learn on the job. The speakers say employers may place greater value on candidates who can demonstrate results and do the work themselves, rather than relying only on credentials or brand-name experience. Ryan adds that AI resume screening can reject applicants within hours without human review, while platforms such as LinkedIn and ZipRecruiter may leave applicants unable to contact employers directly.

This summary was generated from the episode transcript and can contain mistakes.