Information, national security, and finance sectors are considered the sectors most vulnerable to AI. Each sector is vulnerable in different ways because of its specific characteristics. https://t.co/NESQAI84FN
These are the most urgent AI risks, according to 272 experts | MIT Sloan mitsloan.mit.edu
AI Weekly's analysis
→
- MIT FutureTech and the University of Queensland used the Delphi method to survey 272 international AI experts on 24 risks across 2025 to 2030.
- Five risk domains cleared 11 to 12 percent catastrophic probability even under a 'pragmatic mitigation' scenario, led by dangerous capabilities, AI-enabled weapons and cyberattacks, and environmental harm.
- Experts said developers and governance actors carry primary responsibility for AI risk, but users and affected stakeholders are the ones most vulnerable to it.
Read full analysis →
MIT Sloan professor Eric So compares the AI gravity phenomenon to physical atrophy: Muscles weaken with disuse. Likewise, cognitive skills deteriorate when people stop practicing them. https://t.co/CeEVhnPZIK
‘The Collision: What AI Does to Us’ | MIT Sloan mitsloan.mit.edu
AI Weekly's analysis
→
Read full analysis →
Modern enterprises face the challenge of determining what tasks artificial intelligence can safely perform without human oversight. The AI Decision Matrix can help business leaders assess ambiguity and risk. https://t.co/VKX6x7WKxh
A framework for determining when AI can make decisions | MIT Sloan mitsloan.mit.edu
Kaiser Permanente combined top-down governance with bottom-up idea generation: A small, senior task force set enterprise-wide AI strategy, while thousands of front-line unit-based teams identified problems AI could actually solve. https://t.co/0lHOskFNhR
What employers can learn from Kaiser Permanente’s AI labor deal | MIT Sloan mitsloan.mit.edu
For leaders, the question is no longer simply whether to use AI in negotiation. It’s what role AI should play, how much authority it should be granted, and where human oversight must remain in place, according to MIT Sloan professor Jared Curhan. https://t.co/Hg4hk5P6L7
4 seats AI can occupy at the negotiating table | MIT Sloan mitsloan.mit.edu
Course offerings like AI-Augmented Work, Economics of Ideas and Entrepreneurship, and Leading Agentic AI Transformation in Organizations anticipate businesses’ future needs. https://t.co/PxqwfkTFJx
These new MIT Sloan courses track emerging technologies and business trends | MIT Sloan mitsloan.mit.edu
In an AI-enabled startup, humans should act as future-forward architects, supplying the judgment, relationships, creativity, and experimentation that machines can’t replicate. https://t.co/I6AHYZDUqq
4 ways to navigate entrepreneurship in the age of AI | MIT Sloan mitsloan.mit.edu
Organizations that succeed in the 21st century are agile and innovate quickly. According to MIT Sloan’s @amcafee, the future of tech-driven companies is young U.S. firms on the West Coast. https://t.co/jLxM9yo5g6
An MIT expert on which companies will succeed in the AI era | MIT Sloan mitsloan.mit.edu
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. https://t.co/o305DYtw95
AI ethics and governance: Where will you draw the line? | MIT Sloan mitsloan.mit.edu
Historically, workers have executed processes manually. Now, they are increasingly finding themselves in a new role: human in the loop, overseeing and analyzing the work that generative AI carries out. https://t.co/MVJZa6hTtO
10 levers for shaping generative AI that truly improves worker performance | MIT Sloan mitsloan.mit.edu
MIT Sloan associate professor @johnjhorton makes the case that large language models can effectively deliver informal market insights that can later be refined through further investigation and more formal research practices. https://t.co/IVLv1CKPze
Generative AI as a tool for market research | MIT Sloan mitsloan.mit.edu
“AI adoption is as much a problem of organizational and information design as it is one of technology procurement.” — Ruru Hoong, MIT Sloan https://t.co/4WXfkIsV41
What 3 new MIT Sloan professors have learned about AI — and what they want to know | MIT Sloan mitsloan.mit.edu
