MIT Sloan School of Management

09/03/2026

Many industry watchers worry that the greenhouse emissions from AI’s growing energy use will make climate change significantly worse. Others suggest that AI will help solve the climate crisis by finding answers to longstanding challenges.

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.

09/03/2026

Billions or even trillions of AI agents could soon be collaborating, competing, and transacting with one another.

That future will require an entirely new market infrastructure, and the biggest opportunities might not lie in building “agents for X,” but in building marketplaces and services for agents.

But will this emerging agent economy remain open and decentralized, or become dominated by a handful of corporations?

“The window to keep this web of agents open is closing soon,” said MIT Media Lab associate professor Ramesh Raskar. “But it’s not closed yet.”

In his recent talk as part of the MIT Sloan speaker series “AI + X: How AI Is Changing Management Practice,” Raskar explored what’s ahead.

To learn more, visit nanda.media.mit.edu, and read further about Raskar's AI + X talk here: https://bit.ly/4yz5OVx

09/02/2026

Organizations are eager to learn whether artificial intelligence can boost worker productivity. Studies involving software developers, accountants, and manufacturing firms have shown that it can. But that boost doesn’t necessarily translate to final outcomes.

A new study found that developers using AI tools can write much more code than those working without AI, but they don’t release as much new software.

09/02/2026

Societal pressure to succeed at all costs can cause people to increase their use of AI at work. But overreliance on LLMs can lead to skills collapse, which in turn can eventually undermine individual learning patterns and derail business goals.

AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.

09/01/2026

In an AI-enabled startup, humans should act as future-forward architects, supplying the judgment, relationships, creativity, and experimentation that machines can’t replicate.

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.

09/01/2026

“The companies that are most likely to fall behind their peers are the ones that insist on keeping a human in the loop for decisions that a machine could have made yesterday. That doesn’t mean all decisions, just those that might not require a human in the loop in the era of the AI-driven enterprise.” — Paul Cheek, MIT Sloan senior lecturer

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.

08/31/2026

New research shows that professional services clients who feel ashamed are more likely to prefer an AI assistant, even when they view a human alternative as more competent. The source of embarrassment can be anything from frivolous credit card debt to malware accidentally downloaded from an adult website.

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.

08/31/2026

Experts said the five risks with highest expected severity are AI possessing dangerous capabilities, competitive dynamics, weapons and cyberattacks, power centralization, and AI spreading false or misleading information.

Which AI risks could cause the most harm in the next five years? New MIT research shows that businesses should be aware of threats like competitive pressure and dangerous AI capabilities.

08/30/2026

MIT’s Ramesh Raskar leads Project NANDA, a research initiative working on agent identity, discovery, addressability, registries, verification, interoperability, and decentralized coordination. In a recent talk, Raskar described a digital world comprising billions or trillions of agents collaborating and competing to solve problems.

Here’s what businesses need to know as AI agents move from centralized systems toward a decentralized network of trillions of personal and organizational agents.

08/30/2026

In companies’ rush to capitalize on artificial intelligence, ethics and governance considerations often take a back seat.

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.