Ideas Made to Matter
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Your first Thinking Forward will arrive Tuesday. Until then, here are the latest ideas and insights from MIT Sloan.
The Latest
Judgment-free AI appeals to embarrassed clients
Professional service advisers are seen as more capable than AI — but that advantage fades when clients feel ashamed. An MIT Sloan study shows when people prefer AI’s nonjudgmental assistance.
‘No One Works Here’ urges firms to tackle human bottlenecks with AI
In his new book, MIT Sloan School of Management’s Paul Cheek argues that companies lose competitive ground when they keep humans in the loop on decisions that AI can make more efficiently.
4 ways to navigate entrepreneurship in the age of AI
MIT Sloan’s Bill Aulet and Jenny Larios Berlin explore how founders can combine artificial intelligence with the principles of Disciplined Entrepreneurship to move from concept to market more quickly.
Trading energy stocks turns skeptics into supporters of climate action
Even on a small scall, the opportunity to trade energy stocks can boost financial literacy and motivate people to learn more about climate change, MIT Sloan research finds.
An MIT expert on which companies will succeed in the AI era
MIT Sloan’s Andrew McAfee said the future of tech-driven companies is young firms on the West Coast — and that Europe will continue to fall behind.
AI ethics and governance: Where will you draw the line?
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.
Can AI’s climate benefits outweigh its costs?
The rising energy demands of AI and data centers threaten corporate net zero commitments and worsen climate change. But can AI also help develop climate solutions? MIT Sloan researchers investigate.
‘Disposable Workers: The Transformation of Employment’
MIT Sloan’s Paul Osterman argues that the rise in gig workers, freelancers, contractors, adjuncts, and other contingent workers carries long-term implications for the future of work.
Three keys to building a semantic layer
A new research briefing explains how semantic layers make enterprise data more accessible and understandable by humans and machines.
How will AI automation hit — like a crashing wave or a rising tide?
AI performance is improving across many workplace tasks broadly, not in sudden shocks, new MIT research finds. That cadence gives companies and workers time to prepare for task-level displacements.