AIAcademy collection · Team practice

AI for work adoption

A manager-and-coworker collection for turning AI from scattered experimentation into repeatable workplace practice: where it helps, where it intensifies work, and what to measure.

100 minutes · 3 tracks · 4 readings · 4 resources

Tracks

• AI for Work
• AI for Everyday Life
• Building with AI

Readings

• AI doesn't reduce work — it intensifies it — Harvard Business Review editorial
• The Anthropic Economic Index — what the Jan/Mar/May 2026 trio actually shows — AIAcademy
• Where enterprise agents actually live in 2026 — AIAcademy
• Building Pro-Worker AI — the Acemoglu / Autor / Johnson 2026 framing — Daron Acemoglu, David Autor, Simon Johnson

Resources

• Microsoft Copilot — Microsoft
• Claude Code — Anthropic
• Cursor — Cursor
• DeepLearning.AI Short Courses — DeepLearning.AI

Key questions

• Which workflows deserve AI support before the team buys another tool?
• Where does AI save time, and where does it push hidden work onto people?
• What evidence should a team collect before calling an AI pilot successful?