Action items for AI decision makers in 2026
MIT Sloan Management Review's take on where 12-month AI roadmaps are already breaking down, and why the leading teams are re-planning in 6–8 week cycles instead.
Learning center
What we're reading and watching on AI
A running collection of articles and videos we keep coming back to — on strategy, leadership, and the data foundations underneath both. We'll keep adding to it.
Articles
2026 CEO Study: 5 plays for AI-first transformation
IBM's Institute for Business Value surveyed CEOs on what separates companies actually running AI in production from the much larger group still stuck piloting it.
AI in Manufacturing 2026
Deloitte's survey of 140+ manufacturers finds most are already getting value from AI in quality and production — but only one in five use cases has actually scaled past a single site.
AI data readiness: the foundation for scaling enterprise AI
McKinsey's case for treating data readiness as its own workstream — the piece that best explains why so many AI initiatives stall on the data instead of the model.
Chief AI Officer: the fastest-growing AI job in the Fortune 500
Data on how fast dedicated AI leadership roles have grown across large companies — useful context for mid-sized organizations deciding whether they need that seat too, full-time or not.
Videos
The AI revolution is underhyped
Former Google CEO Eric Schmidt on why the pace of AI progress is still underestimated, and what that means for any organization planning more than one year ahead.
IntelligentOps: AI-enabled smart manufacturing at scale
Deloitte walks through what AI-enabled manufacturing and operations actually look like in production, beyond the pilot stage.
How McKinsey plans to survive AI (and reinvent consulting)
McKinsey's global managing partner on why even the firms that sell AI strategy are rebuilding their own leadership and delivery models around it.