Enterprise AI sticks to 2012 paradigms: why 'AI employees' resonates inside big firms
craighepburn · x · 2026-11-09
Allie Miller argues that a core problem with enterprise AI is that anything that made sense in a 2012 business world sticks harder. That's why the term "AI employees" has traction inside large firms: companies know what an employee, a job title, and a salary are, and can directly compare that salary to token costs. Re-framing AI through a decades-old paradigm is easy; rethinking the surrounding environment and systems is much harder.
More from Companies & People
- Google's frontier AI product head Tulsee Doshi on why PMs are suddenly valuable again — lennysan · 2026-11-09
- DeepSeek's open-source agent Harness hits 1.54M daily users in under 3 months — rohanpaul_ai · 2026-11-09
- Meta teases entry into AI-for-science race, joining frontier labs push — kimmonismus · 2026-11-09
- Meta AI chief Alexandr Wang on hiring: 'Hire people who give a shit' — ZeYanjie · 2026-11-09
- Bindu Reddy predicts OpenAI and Anthropic will stall this year, opening the door for Grok and Gemini — bindureddy · 2026-11-09
- Goldman Sachs Pulls Claude Code From Its Bankers and Traders — TheWiggles · 2026-11-09