Written by Tim Green, narrated by AI. Listen to the full episode here.
A Davos 2026 chart and recent labour data paint an uncomfortable picture: AI is thinning the middle rungs of professional hierarchies by cutting entry-level work. A Stanford update found 22 to 25-year-olds in highly AI-exposed US occupations down 13% since late 2022, with sharper drops in software engineering and customer service. Senior roles held steady, but starting wages in AI-exposed firms fell 4.5%. The data suggests we are not simply automating tasks. We are severing the apprentice rung of expertise itself.
This episode uses AI voice narration from ElevenLabs Studio.
The Apprenticeship Severance Problem
The core argument is structural. Junior roles have long served as the training ground where professionals acquire tacit and collective knowledge, the kind described by Michael Polanyi and Harry Collins. Automating those "pretext" tasks (drafting documents, writing boilerplate code, handling routine inquiries) removes the very work through which judgement and experience are built.
