David Kiron
Confidence 0.80 · 2 sources · last confirmed 2026-05-07
Editorial director, research, of MIT Sloan Management Review and program lead for its Big Ideas research initiatives. Recurring senior author across the wiki’s MIT SMR-anchored AI research stream — including the 8th annual MIT SMR × BCG global AI study (Ransbotham et al. 2024) and the operational follow-up How to Reap Compound Benefits From Generative AI (2026).
Role and remit
The Big Ideas program at MIT SMR runs global surveys and in-depth interviews with front-line leaders at companies ranging from Silicon Valley startups to multinationals. Kiron leads the program’s research design and editorial direction; the recurring AI-and-business survey (now 8 years running) is the program’s flagship research instrument.
Wiki contributions
- Co-author, Learning to Manage Uncertainty, With AI (Nov 2024) — established the Augmented Learners 2×2 framework: combining high organizational learning + high AI-specific learning identifies the 15% of orgs that compound learning gains.
- Co-author, How to Reap Compound Benefits From Generative AI (Apr 2026) — the verification → evaluation → learning capture flywheel; reframes ROI as return on iteration.
Cross-source positioning
Kiron’s two wiki sources form a coherent two-step argument:
- Empirical foundation (2024) — only 15% of organizations are “Augmented Learners”; they are 1.6× more likely to manage uncertainty.
- Operational mechanism (2026) — the three-step flywheel that turns the Augmented Learner advantage into compounding returns.
Read together, the pair anchors the wiki’s organizational-learning lens on enterprise AI adoption — distinct from the structural (MIT CISR Stage), capabilities (Warner-Wäger), task (Anand-Wu), firm-boundary (Nishar-Nohria), and human-reaction (Carucci) lenses.