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MIT Sloan School of Management

@MITSloan

Insights for your work from MIT experts

 Cambridge, MA
mitsloan.mit.edu
Joined September 2007
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AI can greatly expand access to negotiation practice and feedback, but its most promising uses complement rather than replace human judgment. mitsloan.mit.edu/ideas-made-…
4 seats AI can occupy at the negotiating table | MIT Sloan

4 seats AI can occupy at the negotiating table | MIT Sloan

AI can negotiate for you, coach you, support your team, or mediate between parties. An MIT Sloan School of Management professor explains those four roles — and why human judgment still matters.

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Before asking AI to gather copious information and then asking questions, do the cognitive work of identifying the questions you need to answer, and then use AI to help get the answers quickly. mitsloan.mit.edu/ideas-made-…
Increase your personal productivity in an AI-enabled workspace | MIT Sloan

Increase your personal productivity in an AI-enabled workspace | MIT Sloan

To gain maximum productivity from AI, MIT Sloan’s Robert Pozen advises senior leaders to use AI as a co-worker, focus AI on the final product, and delegate work to AI without abandoning judgment.

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In today’s AI-driven environment, robust data monetization is a precondition for success. Here are three principles that help determine whether data monetization efforts will drive financial performance. mitsloan.mit.edu/ideas-made-…
3 principles to bring your data monetization initiatives to life | MIT Sloan

3 principles to bring your data monetization initiatives to life | MIT Sloan

In today’s AI-driven environment, robust data monetization capabilities are both a competitive advantage and a precondition for success, research from the MIT Sloan School of Management finds.

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What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at the MIT Center for Information Systems Research have developed a framework to help. Learn more: bit.ly/4zed20M
This image is a diagram titled "The AI Decision Matrix" from MIT Sloan School of Management. It is a grid with two axes labeled "Ambiguity" (high to low) and "Risk" (low to high). The grid is divided into four quadrants: 1. Top Left (Exploratory): High ambiguity, low risk. Approach: Enable experimentation. Focus: Learn. 2. Top Right (Strategic): High ambiguity, high risk. Approach: Make decisions with oversight. Focus: Act. 3. Bottom Left (Routine): Low ambiguity, low risk. Approach: Automate with limited oversight. Focus: Act. 4. Bottom Right (Consequential): Low ambiguity, high risk. Approach: Manage to ensure reliability. Focus: Learn. A legend at the bottom describes decision components, participants (human, AI), and decision approaches. MIT Sloan School of Management logo is at the bottom right.

ALT This image is a diagram titled "The AI Decision Matrix" from MIT Sloan School of Management. It is a grid with two axes labeled "Ambiguity" (high to low) and "Risk" (low to high). The grid is divided into four quadrants: 1. Top Left (Exploratory): High ambiguity, low risk. Approach: Enable experimentation. Focus: Learn. 2. Top Right (Strategic): High ambiguity, high risk. Approach: Make decisions with oversight. Focus: Act. 3. Bottom Left (Routine): Low ambiguity, low risk. Approach: Automate with limited oversight. Focus: Act. 4. Bottom Right (Consequential): Low ambiguity, high risk. Approach: Manage to ensure reliability. Focus: Learn. A legend at the bottom describes decision components, participants (human, AI), and decision approaches. MIT Sloan School of Management logo is at the bottom right.

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As organizations begin deploying agentic systems that can execute entire workflows, a consequential question is emerging: How can leaders turn agentic AI productivity gains into business growth? Learn more at bit.ly/4zWPcqJ
Combined photos of MIT Sloan professors Kate Kellogg and Rama Ramakrishnan superimposed over illustration of human brain schematic.

ALT Combined photos of MIT Sloan professors Kate Kellogg and Rama Ramakrishnan superimposed over illustration of human brain schematic.

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AI can participate in negotiations in four positions. Each position gives AI different levels of authority and creates different risks for accountability, fairness, and human agency. mitsloan.mit.edu/ideas-made-…
4 seats AI can occupy at the negotiating table | MIT Sloan

4 seats AI can occupy at the negotiating table | MIT Sloan

AI can negotiate for you, coach you, support your team, or mediate between parties. An MIT Sloan School of Management professor explains those four roles — and why human judgment still matters.

mitsloan.mit.edu
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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. mitsloan.mit.edu/ideas-made-…
Increase your personal productivity in an AI-enabled workspace | MIT Sloan

Increase your personal productivity in an AI-enabled workspace | MIT Sloan

To gain maximum productivity from AI, MIT Sloan’s Robert Pozen advises senior leaders to use AI as a co-worker, focus AI on the final product, and delegate work to AI without abandoning judgment.

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The Luce is @Ferrari's first fully electric vehicle. The company sees its release as a technological addition, not necessarily a market shift. mitsloan.mit.edu/ideas-made-…
How Ferrari balances identity and growth with the electric Luce | MIT Sloan

How Ferrari balances identity and growth with the electric Luce | MIT Sloan

The Luce is Ferrari’s first fully electric vehicle. The company sees its release as a technological addition, not necessarily a market shift.

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To gain maximum productivity from artificial intelligence, the MIT Sloan School of Management’s Robert Pozen advises using AI as a coworker, not a crutch; focusing AI on the final product; and delegating work to AI without abandoning human judgment. mitsloan.mit.edu/ideas-made-…
Increase your personal productivity in an AI-enabled workspace | MIT Sloan

Increase your personal productivity in an AI-enabled workspace | MIT Sloan

To gain maximum productivity from AI, MIT Sloan’s Robert Pozen advises senior leaders to use AI as a co-worker, focus AI on the final product, and delegate work to AI without abandoning judgment.

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In a recent article, MIT Sloan’s Kate Kellogg and Rama Ramakrishnan examine what it takes to redesign workflows, prepare employees for evolving roles, and turn AI-enabled productivity into sustainable business growth in the age of agentic AI. Learn more: bit.ly/3WEjjF0
Photo of MIT Sloan professor Kate Kellogg and MIT Sloan professor of the practice Rama Ramakrishnan with quote: "The defining leadership challenge of our time is turning agentic AI-enabled productivity gains into new value for the business and new possibilities for work."

ALT Photo of MIT Sloan professor Kate Kellogg and MIT Sloan professor of the practice Rama Ramakrishnan with quote: "The defining leadership challenge of our time is turning agentic AI-enabled productivity gains into new value for the business and new possibilities for work."

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In his new book, MIT Sloan professor Eric So examines the ways artificial intelligence is reshaping human cognition and offers advice on protecting your uniquely human skills while using AI. Learn more: bit.ly/4y6fZQh
Photo of MIT Sloan professor Eric So with quote: "AI is changing not just what we can do; it's changing who we are as thinkers. Our capacity to engage in sustained focus and struggle is being disrupted by AI."

ALT Photo of MIT Sloan professor Eric So with quote: "AI is changing not just what we can do; it's changing who we are as thinkers. Our capacity to engage in sustained focus and struggle is being disrupted by AI."

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Course offerings like AI-Augmented Work, Economics of Ideas and Entrepreneurship, and Leading Agentic AI Transformation in Organizations anticipate businesses’ future needs. mitsloan.mit.edu/ideas-made-…
These new MIT Sloan courses track emerging technologies and business trends | MIT Sloan

These new MIT Sloan courses track emerging technologies and business trends | MIT Sloan

MIT Sloan School of Management course offerings like AI-Augmented Work, Defense and Dual-Use Ventures, and Leading Agentic AI Transformation in Organizations anticipate businesses’ future needs.

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Researchers from the MIT Sloan School of Management argue that as AI tools become more widely available, competitive advantage will depend on the trust, data, expertise, operating capabilities, and work redesign that companies build around them. mitsloan.mit.edu/ideas-made-…
5 things to know about how companies can create value from AI | MIT Sloan

5 things to know about how companies can create value from AI | MIT Sloan

As AI tools become more widely available, competitive advantage will depend on the trust, data, expertise, operating capabilities, and work redesign companies build around them.

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Artificial intelligence will transform more jobs than it eliminates outright. The biggest productivity gains will come not from incorporating AI into existing workflows but from redesigning those workflows entirely. @MITshapingwork mitsloan.mit.edu/ideas-made-…
AI and jobs: 4 takeaways from Google’s chief economist | MIT Sloan

AI and jobs: 4 takeaways from Google’s chief economist | MIT Sloan

Google’s Fabien Curto Millet examined how AI is reshaping job roles, workflows, and employee training in an address at the MIT Stone Center on Inequality and Shaping the Future of Work.

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It’s possible for privacy-preserving technologies to coexist with data analytics. Researchers can protect individual privacy and still get reliable results from data. mitsloan.mit.edu/ideas-made-…
Data or privacy? Businesses can have both, MIT Sloan research finds | MIT Sloan

Data or privacy? Businesses can have both, MIT Sloan research finds | MIT Sloan

Data regulation doesn’t necessarily cause economic harm. Markets — and consumers — can still derive economic benefits from data collection when it’s tempered by reasonable privacy guardrails.

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AI can help organizations create more collaborative, repeatable innovation processes, but humans should stay in charge. mitsloan.mit.edu/ideas-made-…
How to level up systematic innovation with AI | MIT Sloan

How to level up systematic innovation with AI | MIT Sloan

Artificial intelligence can boost the systematic innovation of products, processes, and services. MIT Sloan professor Steven Eppinger offers four steps for making that happen.

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“The defining leadership challenge of our time is turning agentic AI-enabled productivity gains into new value for the business and new possibilities for work.” — Kate Kellogg and Rama Ramakrishnan, MIT Sloan mitsloan.mit.edu/ideas-made-…
Stop debating automation vs. augmentation | MIT Sloan

Stop debating automation vs. augmentation | MIT Sloan

As organizations begin deploying agentic systems that can execute entire workflows, a consequential question is emerging: How can leaders turn agentic AI productivity gains into business growth?

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In his new book, “Boundaries of Tolerance,” MIT Sloan’s Jeffrey Saviano says that AI’s novel risks and “ethical infirmities” have made governance and strategy a leadership necessity. mitsloan.mit.edu/ideas-made-…
The 5 forces creating urgency around ethical AI adoption | MIT Sloan

The 5 forces creating urgency around ethical AI adoption | MIT Sloan

In his book “Boundaries of Tolerance,” MIT Sloan School of Management senior lecturer Jeffrey Saviano argues that ethical AI strategy and governance are the defining leadership challenges of our time.

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Ferrari expects EVs to make up 20% of its lineup by 2030, with the remaining 80% split between hybrids and internal combustion engines. @Ferrari mitsloan.mit.edu/ideas-made-…
How Ferrari balances identity and growth with the electric Luce | MIT Sloan

How Ferrari balances identity and growth with the electric Luce | MIT Sloan

The Luce is Ferrari’s first fully electric vehicle. The company sees its release as a technological addition, not necessarily a market shift.

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Data regulation does not necessarily cause lasting economic harm. Online publishers adapted to Europe’s GDPR privacy rules and kept producing quality content. mitsloan.mit.edu/ideas-made-…
Data or privacy? Businesses can have both, MIT Sloan research finds | MIT Sloan

Data or privacy? Businesses can have both, MIT Sloan research finds | MIT Sloan

Data regulation doesn’t necessarily cause economic harm. Markets — and consumers — can still derive economic benefits from data collection when it’s tempered by reasonable privacy guardrails.

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