Episode Details

Ford's 1930s union-busting operation was pure brute force—but the job is still happening today, just automated. We trace the evolution from Harry Bennett's 3,000-man "service department" to modern AI systems that monitor Slack for sentiment drift and predict which workers will organize. The anti-union consulting industry is worth $1.7 billion annually, deploying predictive analytics that no human ever reviews. But here's where it gets weird: the workers automated too. Now AI fights AI over union rights, with actual humans largely removed from the decision-making process. 00:00:00 - Introduction 00:01:30 - Harry Bennett and Ford's brutal union-busting blueprint 00:04:15 - The $1.7 billion modern anti-union consulting industry 00:07:45 - Predictive analytics and workforce surveillance tools 00:12:00 - Inside Aware: sentiment monitoring and drift detection 00:15:30 - When workers weaponized algorithms back 00:17:45 - The chilling endgame when AI fights AI with no humans deciding --- Sources & further reading: • Economic Policy Institute — "Employers spend $433 million a year on union avoidance consultants" — (report widely cited; original EPI data) • Lauren Kaori Gurley, Motherboard/VICE — "Whole Foods Is Secretly Using a Heat Map to Track and Prevent Unionization" • Alex Rosenblat — Uberland: How Algorithms Are Rewriting the Rules of Work (2018, UC Press) • Veena Dubal — "On Algorithmic Wage Discrimination" — Columbia Law Review, 2023 • Hatim Rahman — "The Invisible Cage: Workers' Reactivity to Opaque Algorithmic Evaluations" — Administrative Science Quarterly, 2021 • Spencer Soper, Bloomberg — reporting on Amazon's SPOC system and Bessemer campaign • Jodi Kantor & Karen Weise, New York Times — "The Amazon That Customers Don't See" (2021) • National Labor Relations Board — decisions on Amazon Bessemer election and surveillance as ULP • Communications Workers of America — contract database with AI-specific provisions • Starbucks Workers United / NLRB filings — scheduling algorithm discrimination complaints This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.