Amazon memo calls AI usage metrics flawed but keeps internal tracking

The memo’s timing is notable amid Amazon’s broader push to prove AI’s business impact, alongside record spending on AI infrastructure. While it avoids outright bans, the guidance creates tension: managers are told to study adoption data for insights but not to rank employees by it. Critics, like commentator Corey Quinn, argue the memo’s mixed messaging—calling token counts flawed while keeping them in play—creates ambiguity, especially during a period of job cuts. The memo also highlights a cultural contradiction: AWS bills customers by token consumption while telling its own staff to treat tokens as a cost to minimize. Engineers are now asked to prove AI’s limitations in writing, adding administrative burden to an already strained workforce.