From ideas to execution: Using strategic enterprise architecture for AI value creation
Any level of misalignment between technical choices and the SEA can cause the failure of an AI initiative.
What happens when your AI doesn’t share your values
How leaders can identify and resolve AI misalignment.
The Six Most Popular Stories of 2025 — So Far
The editors of MIT SMR share the six articles that have resonated most with readers.
Why your organization needs both AI moonshots and mundane wins
Balance ambitions with incremental improvements, macro visions with micro victories.
Why we’re measuring AI success all wrong—and what leaders should do about it
Current methods ignore ethics, human collaboration, and long-term impact.
What are the opportunities — and risks — of AI for grid reliability?
A practical look at OPEN and CARE Framework for the power grid.
Why government’s AI dreams keep turning into digital nightmares—and how to fix that
A practical road map to unlocking AI’s true value in the public sector.
For CEOs, AI tech literacy is no longer optional
Bridging the gap between AI hype and business value starts at the top.
7 Ways Leaders Must Evolve to Lead AI-Augmented Teams
Today’s managers have to guide both human professionals and AI systems.
Regenerative Leadership
Walking the Middle Path in an Age of AI