AI is Shrinking Team Sizes

alliekmiller · x · 2026-07-14

The author makes several observations-based points:

Team sizes are shrinking everywhere, but this doesn't necessarily mean immediate mass layoffs or rising unemployment. It's more about the shrinking of the "minimum viable operating unit."
Some government agencies (not just in the US) are already preparing for a surge in unemployment benefit claims. The author emphasizes this is just a scenario they are considering, not a guaranteed outcome.
When discussing AI's impact on jobs, remember that everyone has their own incentives: AI labs, CEOs, researchers, banks, governments, national leaders, and even the general public.
Even if AI creates new jobs, these roles may require new skills or domain experience, meaning the skills gap could still widen. "Jobs exist" doesn't mean "people can fill them." The author believes that, apart from a few content creators and enterprises, the market currently shows insufficient signs of bridging this gap.
She advises continuously pressing corporate leaders for a timeline on AI's impact on roles, forcing them to provide an estimated range—whether it's within 3 years, 10 years, or 50 years.

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