The Pulse: Meta wanted to reduce teams by 60% because of AI
Meta's 60% team-reduction plan wasn't cost-cutting—it was existential fear of AI-native startups doing more with less.

Why it matters
Meta's internal strategy to radically downsize engineering teams reveals how established tech companies are restructuring around AI productivity gains and startup competition. This is workforce transformation driven by AI economics, not hype.
The key facts
6 to knowMeta considered reducing teams by 60%
Fear of AI-native startups as competitive driver
Engineering culture overhaul tied to AI productivity
GitHub load doubled in four months (suggests AI tooling surge)
Ramp's AI infrastructure developments mentioned
Broader industry signal: established orgs rightsizing for AI-era productivity
Go to the source
Pragmatic Engineernewsletter.pragmaticengineer.com
Publisher excerpt: We find out why Meta destroyed its standout engineering culture: it feared AI-native startups doing more with less. Also: thoughts on Ramp’s AI infra, GitHub’s load doubles in four months, and more