Michael Schrage

Confidence 0.75 · 2 sources · last confirmed 2026-06-15

Research fellow at the MIT Sloan Initiative on the Digital Economy, writing on how organisations capture compounding value from AI and on the human role in agentic systems. Promoted to an entity on 2026-06-15 on his second wiki appearance.

Wiki contributions

• Kiron & Schrage 2026 — co-author (with David Kiron) of How to Reap Compound Benefits From Generative AI (MIT Sloan Management Review, Apr 2026): the consumption→compounding thesis (reorient AI from asset-depreciation to asset-appreciation via a verify-evaluate-learn-capture flywheel). A precise restating of the micro-productivity-trap escape.
• 2026 CIO Symposium — speaker; contributes the in-the-loop vs on-the-loop distinction and the split between agents that execute explicit tasks (“Do this!”) and agents that clarify intent (“Should I do this?”). “I am still more comfortable being in the loop… I don’t trust deterministic software agents yet.”

Why he is an entity (promotion note)

Promoted on 2026-06-15: named on two wiki sources (Kiron-Schrage co-author + CIO Symposium speaker), crossing the second-source threshold. Both are MIT Sloan Management Review outputs; his throughline is the human-judgment / expert-as-evaluator role in agentic AI.