How to know when (and when not) to make a change
It’s not about training individuals—it’s about transforming organizations.
The dual challenge of AI: Innovating and building while preparing to defend
AI poses dual threats that demand balancing innovation portfolios and scanning for external disruption.
The business impact of deepfakes
It’s not about training individuals—it’s about transforming organizations.
How AI could widen the global economic divide—and why all business leaders should care
It’s not about training individuals—it’s about transforming organizations.
What AI reskilling really requires
It’s not about training individuals—it’s about transforming organizations.
The danger of AI dependency
The hidden cost of outsourcing human judgment.
Navigating America’s AI Action Plan – a guide for business leaders
Here’s how global firms can respond while managing opportunities and risks.
Leadership in a world of autonomous algorithms
A strategic leadership guide.
Three myths that undermine AI success
And how to avoid falling into those traps.
There isn’t an AI bubble—there are three
Here’s how to stand out.
AI: the key to human-centered business
Here’s how to stand out.
How AI is creating a crisis of business sameness
Here’s how to stand out.
Implementation of Responsible AI – 4 Questions
Four questions to guide the implementation of responsible AI – and how Confucius and Adam Smith can help.
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.
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 CEOs Need To Create AI Innovation Portfolios
CEOs who fail to develop comprehensive strategies risk being left behind.
Regenerative Leadership
Walking the Middle Path in an Age of AI
From Exploration to Execution – Why Half Measures Fail
How to Operationalize AI Across Government Enterprises.