What does the next wave of climate innovation look like? At the 2026 ClimateCAP MBA Summit, MIT-connected startups — largely alumni-led — presented solutions across energy, materials, and supply chains. https://t.co/BIAACp6fUz
Amid a changing economic world order, a new book edited by MIT professor Elisabeth B. Reynolds offers strategies to help the U.S. secure technological advantage in key industries. https://t.co/tksHMT8bW2
Human content creators are protected by copyright law, but whether these laws allow AI models to learn from human-created content is up for debate. MIT Sloan professor Thomas Malone proposes “learnright” laws that would give copyright holders the exclusive right to license their content to AI companies for model training.
Learn more: https://t.co/ckZ3DTEAEG
People are already using ChatGPT to help with retirement planning, but is it good enough yet to deliver the kind of smart, personalized financial guidance human advisers have traditionally provided? https://t.co/lAUr1YQ4K4
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. https://t.co/0UK9IdI1R2
MIT Sloan economist Kristin J. Forbes draws insight from the past two tumultuous decades to suggest ways that central banks can improve their responses. https://t.co/qves4jEBAt
“Pope Leo challenges us to use AI to serve humanity and respect the dignity and rights of workers. Dignity includes sharing in the economic benefits of new technologies, with stronger job security and new, explicit wage-setting norms and formulas.” https://t.co/KPlUWiZ8KG
Workers under pressure to improve efficiency can fall victim to what MIT Sloan professor Eric So calls “AI gravity” — the constant pressure to outsource more thinking to AI. Here are four ways to protect your cognitive capital. https://t.co/0UK9IdI1R2
Few organizations have parlayed AI experimentation into initiatives that move the needle on critical business metrics. Researchers from @MIT_CISR have identified five common mistakes impeding AI success.
Learn more: https://t.co/MyuHwkoqPt
When workers become overreliant on AI, there’s a risk of significant skills collapse. Here are specific actions individuals and organizations can take to protect cognitive capital and preserve institutional knowledge. https://t.co/0UK9IdI1R2
New books from MIT Sloan experts examine Disciplined Entrepreneurship for climate startups, the economics of the second Trump administration, and the need to understand the cultural evolution of artificial intelligence. https://t.co/h09D3xmjkp
“We need stronger institutions and policies that get workers a voice on AI or we’ll end up with another generation of winners (the big AI developer companies) and losers (unemployed workers).” — MIT Sloan professor emeritus Thomas Kochan https://t.co/KPlUWiZ8KG
Closing the “last mile” gap between AI’s potential and real-world impact requires new metrics, user involvement, and a test-and-scale mindset. https://t.co/UftB463Nka
In a new opinion piece, Greentown Labs’ Georgina Campbell Flatter and Ben Soltoff of the MIT Sloan School of Management argue that climate leadership and economic competitiveness are not opposing priorities — they are increasingly interconnected.
Learn more: https://t.co/0E1eQ3ltxf
Modern AI differs from traditional machine learning and has important implications for an organization’s strategy, competitiveness, and talent needs. https://t.co/cJrMuLYqBw
Organizations that succeed with digital innovation engage three types of leaders: initiative leaders, shared resource leaders, and portfolio leaders. Each has distinct areas of responsibility and complementary knowledge and expertise. https://t.co/9AL3F0Mbq3
At the 2026 ClimateCAP MBA Summit, hosted by MIT Sloan, 11 MIT-connected startups showcased solutions across energy, materials, and supply chains. https://t.co/BIAACp6fUz
From developing systems that detect early warning signs in post-acute health care facilities to enabling voice-first operational data capture for front-line workers in factories and warehouses, here’s how these startups are helping other firms work better. https://t.co/oWUEtz6aNw