Show Notes
Which jobs is AI actually automating in September 2026? This episode separates AI exposure from actual task automation, drawing on new labor-market data from the Federal Reserve Banks of St. Louis and Dallas, Indeed's Hiring Lab, and Anthropic's Economic Index.
The St. Louis Fed's September analysis of how workers actually use AI finds adoption that's broad but shallow: at least twenty percent of workers use AI in more than eighty percent of occupations, but at least half of workers use it in only forty percent of occupations, and in under three percent of job tasks. Anthropic's Economic Index, based on Claude usage rather than predictions, finds a similar split — about fifty-seven percent of use is augmentation and forty-three percent automation.
Indeed's September data places software development, IT support, data and analytics, marketing, and finance among the highest AI-exposure occupations, while nursing, personal care and home health, food preparation and service, cleaning and sanitation, and manufacturing sit among the lowest. Advertised pay in highly exposed occupations has been growing faster than in less-exposed ones, especially at senior levels, and software developer job postings have been recovering, though they remain below pre-pandemic levels with entry-level openings still weaker.
The Dallas Fed's research adds another angle: occupations with tasks more exposed to generative AI saw larger declines in job openings after ChatGPT's release, a hiring-pipeline effect distinct from layoffs. Existing employees can keep their jobs while a company simply hires fewer new ones, with the pressure landing hardest on junior and entry-level roles.
The episode closes with a task-level framework for tracking automation: writing, summarizing, generating standard code, and classifying information are the kinds of tasks already being automated, while judgment, physical activity, coordination, and decisions under uncertainty are not. It also flags the limits of each dataset: Anthropic's Index reflects Claude usage rather than the whole labor market, the St. Louis Fed measures adoption rather than eventual job loss, and job-posting data shows changing demand without proving AI caused every change.
Sources & References Federal Reserve Bank of St. Louis: What Work Does Generative AI Do? — https://www.stlouisfed.org/on-the-economy/2026/sep/what-work-does-generative-ai-do Federal Reserve Bank of Dallas: Job postings show early signs of AI automation impact — https://www.dallasfed.org/research/economics/2026/0901 Indeed Hiring Lab: AI Exposure Isn't Squeezing Advertised Pay in the US — It's Boosting It — https://hiringlab.indeed.com/2026/09/17/ai-exposure-isnt-squeezing-advertised-pay-in-the-us-its-boosting-it/ Anthropic: Anthropic Economic Index report: Cadences — https://www.anthropic.com/research/economic-index-june-2026-report Anthropic: The Anthropic Economic Index — https://www.anthropic.com/news/the-anthropic-economic-index
Voice narration is AI-generated.
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