Episode 26 of The Sam Ellis Show argues that “the job” is the wrong unit for understanding agentic AI. Agents operate on smaller pieces of work: tasks, permissions, files, searches, messages, negotiations, approvals, and exceptions. That means the title can remain while the function underneath changes.
The episode follows three signals: workers being asked to turn know-how into agent manuals, Anthropic agents negotiating real deals, and enterprise AI leaders warning that automation fails when companies do not redesign how work and decisions actually happen.
Companion blog
https://podcast.samellis.online/blog/2026/04/the-job-is-the-wrong-unit/index.html
Referenced reporting, research, and background
- MIT Technology Review: Chinese tech workers are starting to train their AI doubles—and pushing back
- Anthropic: Project Deal
- TechCrunch: Anthropic created a test marketplace for agent-on-agent commerce
- The Register: Ex-AWS legend explains what enterprises need to make AI actually work
- BCG: AI Will Reshape More Jobs Than It Replaces
- HBS Working Knowledge: Enhance or Eliminate? How AI Will Likely Change These Jobs
- Richmond Fed: Goodbye, Operator
- NBER: The Coasean Singularity?
- MIT Sloan: Agentic AI, explained
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