Measuring AI work by tokens consumed or raw adoption rates incentivizes waste (higher compute bills, unnecessary tool‑use, and added complexity) without proving value. Amazon's internal guidance tells managers to prioritize long‑term outcomes and to treat heavy AI usage as a signal to investigate, not an automatic success metric.
— How firms measure AI matters for costs, procurement, governance, and whether AI adoption produces real productivity gains or merely 'slop' and lock‑in.
BeauHD
2026.10.28
100% relevant
Amazon's October 27 engineering guidelines saying 'consuming more tokens is not the same as delivering more value' and warning that token counts and adoption rates can be gamed.
← Back to all ideas