Amazon is determined to use AI for everything – even when it slows down work
TL;DR
Amazon is pushing corporate employees to use internal AI tools like 'Kiro' – even though they frequently hallucinate and generate flawed code.
Key Points
- Developer Dina from New York now spends more time fixing AI mistakes than writing code herself, sometimes reverting all changes and starting over.
- Employees report increased surveillance pressure and more work overall, not less.
- The pattern: AI is deployed to demonstrate efficiency gains, while the quality-control burden quietly shifts onto staff.
Nauti's Take
'We use AI for everything' sounds like progress, but it is often just performance for investors and boards. The Kiro example is a classic deploy-before-ready problem: the pressure to demonstrate AI adoption trumps the question of whether the tool actually helps.
What gets ignored: bad AI creates new overhead – debugging, distrust, demotivation. Amazon should ask itself whether 'AI-first' is genuinely a competitive advantage or just an expensive way to produce the same output with more friction.
Sources