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Recent posts
Artificial intelligence is making it easier for organizations to experiment, build prototypes, and launch new applications. But as AI activity spreads across an organization, so can redundant investments, applications that don’t scale, and unexpected operational costs and risks.
Creating a unique set of controls for every AI application isn’t sustainable, according to a new research briefing from the MIT Center for Information Systems Research. Instead, companies should place guardrails around the parts of the organization where oversight can have the greatest impact.
Based on interviews with 48 leaders at 28 organizations worldwide, MIT CISR researchers identified four domains that warrant guardrails: architecture compliance, innovation management, workforce enablement, and supplier governance.
The goal, researchers say, is to give companies enough visibility and control to step in when needed without slowing their AI efforts. Here’s what that involves in each of the domains.
Link in bio for more.
10 Nov 2026
With over 1,000 attendees, 22 speakers, and six hands-on demonstrations, the second annual MIT Generative AI Impact Consortium (MGAIC) Symposium brought together industry leaders, researchers, and MIT staff, students, and faculty to discuss and discover the capabilities of generative AI.
Among the speakers were:
• MIT Sloan School of Management assistant professor Chara Podimata, who gave a faculty talk on using AI agents to audit social media and personalized recommendations.
• Nobel Laureate and Institute professor of economics Daron Acemoglu, who addressed the future of work and industry in an opening plenary session.
• MIT President Sally Kornbluth, who held a fireside chat with Sal Khan, MIT alum and founder/CEO of Khan Academy, that explored AI and education.
• MIT Sloan professor and faculty co-director of MGAIC Vivek Farias, who gave the closing remarks with reflections and takeaways from the Symposium.
Link in bio to learn more about MGAIC.
09 Nov 2026
Artificial intelligence can draft a memo or summarize a meeting instantly. Deciding which memo matters, whether that summary is accurate, or what to do next still requires human knowledge.
That’s the premise of Personal Productivity in an AI-Enabled Workplace, an MIT Sloan Executive Education course led by MIT Sloan distinguished senior lecturer Robert Pozen that he developed in conjunction with Renee Fry, co-founder and CEO of estate-planning software provider Gentreo.
“People think of productivity as input-related: If they increase hours, they’ll become more productive. Our approach is output-oriented,” said Pozen, who has served as president of Fidelity Investments, executive chairman of MFS Investment Management, and a senior official at the U.S. Securities and Exchange Commission.
“We help people figure out what they want to achieve, set priorities, and implement strategies to get those priorities done by knowing when to use AI,” he said.
Here are three takeaways for leaders from the course, which also addresses how to craft a daily schedule, shut down procrastination, run an effective meeting, and communicate under pressure.
Link in bio for more.
07 Nov 2026
Building the future of manufacturing takes more than technological innovation. It takes entrepreneurial vision, engineering expertise, and the operational know-how to bring new ideas to scale.
Re:Build co-founders Jeff Wilke and Miles Arnone, both MIT Leaders for Global Operations (LGO) graduates, are putting that vision into practice. The Framingham-based company recently raised $2.1 billion in new capital to accelerate its work in engineering, advanced manufacturing, and the development of next-generation products.
Their entrepreneurial success reflects the kind of interdisciplinary expertise and innovative thinking that have long positioned MIT and MIT Sloan as leaders in shaping the future of industry. And their work to ensure the next generation of important products are made in America aligns with the mission of the MIT Initiative for New Manufacturing (INM), an MIT-wide effort driving research, education, and collaborations to transform the future of manufacturing.
Wilke and Arnone's achievement was recently featured in The Boston Globe. Link in bio to read the full story.
01 Jan 1970
Paul Cheek, a senior lecturer at the MIT Sloan School of Management, asked an AI agent for startup business ideas. It came back with 130. He says the point isn’t the list — it’s that entrepreneurs don’t have to work through the ideas one at a time anymore. Agents can test six ventures at once, overnight, and then you can work out which one you actually want to build.
Cheek shared his insights during the school’s AI + X series, in a session on AI and entrepreneurship.
Link in bio to learn why MIT Sloan is the leader in research and teaching about AI.
05 Nov 2026
For a first-year MBA student, the fall semester is a busy time spent adjusting to coursework, taking advantage of networking events, joining clubs, and more. Around the halfway point in the semester, the MIT Sloan School of Management pauses regularly scheduled programming for Leadership Challenges for an Inclusive World (LEAD), a three-day required Core course designed to help first-year MBA students develop the skills, mindset, and self-awareness to lead with purpose in a complex, interconnected world.
This year's program featured visits to factories and labs connected to three of the MIT Presidential initiatives (MIT HEALS Health and Life Sciences Collaborative, The MIT Climate Project, and MIT Institute for New Manufacturing). Participating organizations included The Broad Institute, Symmons, The Engine Lab, Insulet, Langer4, the MIT Plasma Science and Fusion Center, and MIT Computer Science & Artificial Intelligence Laboratory.
04 Nov 2026
As organizations begin deploying agentic systems that can execute entire workflows, a consequential question is emerging: How should organizations use agentic AI to reimagine workflows that create growth rather than simply reducing costs?
MIT Sloan School of Management professor Kate Kellogg and professor of the practice Rama Ramakrishnan make the case for moving beyond automation alone to explore how agentic AI can help organizations develop new products, services, and sources of competitive advantage.
In a recent article, they examine what it takes to redesign workflows, prepare employees for evolving roles, and turn AI-enabled productivity into sustainable business growth.
Link in bio for more.
01 Jan 1970
At Ford's recent ACCELERATE the Essential Economy event in Detroit, MIT Sloan Dean Rick Locke joined industry leaders in a panel discussion that explored how strengthening the essential economy can help advance American competitiveness on the global stage.
“We often talk about competitiveness in terms of productivity or innovation and investment, but competitiveness ultimately depends on the way in which we connect all three, how we make, how we invent, and how we deliver,” Locke said.
The panel included Dr. Thomas Caulfield of GlobalFoundries, Christian Meisner of GE Aerospace, and Marcus von Kapff, SM ’93, of JPMorganChase Security and Resiliency Initiative.
Link in bio for more.
02 Nov 2026
Will AI simply automate some amount of work people already do? Or will AI multiply what people can do? Richard Locke, the John C Head III Dean of the MIT Sloan School of Management, argues that leaders must pursue this second, more positive path.
At MIT Sloan’s recent Invent the Future event, Locke highlighted research that’s helping pave the way, from scholars such as MIT behavioral economist Sendhil Mullainathan.
Link in bio to learn why MIT Sloan is the leader in research and teaching about AI.
31 Oct 2026
Artificial intelligence is fueling innovation across industries, but it’s also introducing unanticipated risks and consequences for organizations.
In this landscape, traditional enterprise risk management frameworks are no longer sufficient, and AI governance becomes a leadership question — one that “reaches the boardroom and senior executive teams,” according to Jeffrey Saviano, an MIT Sloan School of Management senior lecturer who spent three decades at @ey_us.
In an excerpt from his new book, “Boundaries of Tolerance: A Foundational Model for Ethical AI Strategy and Governance,” Saviano examines five forces that create urgency for adopting ethical AI solutions and practices.
Link in bio for more.
30 Oct 2026
How should organizations use agentic artificial intelligence to reimagine workflows that create growth rather than simply reducing costs?
MIT Sloan School of Management professor Kate Kellogg and professor of the practice Rama Ramakrishnan recommended prioritizing a small number of high-value workflows rather than spreading resources across too many AI initiatives.
In a recent article, they outline eight criteria leaders can use to evaluate potential workflows, including strategic importance, technical fit, return on investment, and growth potential.
The goal is to identify where agentic AI can create new value and help organizations build a lasting competitive advantage.
Link in bio to explore the eight criteria and to read the full article.
29 Oct 2026
What can we learn from Ferrari’s strategy for its first fully electric car? MIT Sloan School of Management students analyzed that question and the company’s growth plans as Ferrari provided an up-close look at the Luce automobile on campus.
After students had a chance to explore the car, Luca Zanetti, President-Americas at Ferrari, spoke at a competitive strategy class taught by MIT Sloan professor of the practice Donald Sull. The pair discussed a popular MIT Sloan case study on @ferrari and took student questions.
Link in bio to read the case study.
28 Oct 2026
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