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.
Why AI Demands a New Breed of Leaders
Companies need a Chief Innovation and Transformation Officer to oversee the AI cultural shifts.
Two Frameworks for Balancing AI Innovation and Risk
Organizations that view AI as just another technology project will increasingly find themselves irrelevant.
How Agentic AI will Shape the Future of Business
Businesses must navigate opportunities and ethical considerations.
REINVENTING GOVERNMENT — A WHITE PAPER
Navigating Public Sector Transformation in a Hyper-Digital Era
“REINVENT Is Conclusively A Five-Star Business Resource.” — READER VIEWS
Companies that hope to remain relevant, Hoque says, must eschew the status quo.