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.
To get AI right, you need to build a well-orchestrated AI ecosystem
AI success isn’t just about technology—it’s about a complex network of partnerships.
What is ‘self-evolving AI’? And why is it so scary?
Here’s what you need to do now.
AI and the death (and rebirth) of middle management
Inside the fall and rise of ‘unbossing.’
How to be a decisive leader in a world where everything is hybrid
Success depends on mastering the art of convergence.
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.
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.