The Digital Data Design Institute at Harvard is now the Harvard Business School AI Institute.

HBS AI Content & Learning

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Leaders: AI Adoption is Up to You

A new survey of tech founders finds that adoption hides a much bigger story about who is willing to restructure work around AI Listen to this article: AI will not reorganize your company for you. With increased automation and agentic AI systems inching into the workplace, leaders have a vital role to play in producing […]

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Idea Flow + The Machine

The promise of AI creativity depends on knowing where human judgment still breaks down. Listen to this article: People love using AI as a brainstorming partner. The experience feels collaborative, fast, and often confidence-building. It’s tempting to assume that once AI enters the room, great ideas are near at hand. But the new paper, “Innovating […]

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Open and User Innovation Conference 2026: Democratizing Innovation, Again?

The HBS AI Institute’s co-founder explains how AI is redrawing the boundaries of economics, talent, and innovation. On Monday, July 27, the HBS AI Institute’s Karim R. Lakhani opened the 2026 Open and User Innovation (OUI) Conference with a talk connecting the rapid evolution of AI to a deeper shift in how expertise is created, […]

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How AI Agents Are Changing the Way We Work

New research shows the next wave of AI expands both productivity and the scope of work. Listen to this article: For businesses, the most important question about agentic AI is whether it actually changes what work people can get done. The new working paper, “How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope,” begins […]

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The Gender Divide in Generative AI: A Global Challenge [Update]

A sweeping review finds persistent gender gaps in generative AI adoption across countries, jobs, and tools. Listen to this article: This Insight Article revises and updates the version published on April 17, 2025. The rapid spread of generative AI has created enormous expectations for productivity and growth. Yet new research points to a troubling pattern: […]

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The Case-Method Test for AI

How a new benchmark uses business schools’ signature teaching tool to measure AI against the analytical work careers are built on. Listen to this article: Most of us are already comfortable handing AI short, one-off tasks like document summaries, email drafts, and data analysis, but we are less comfortable trusting its results on more complex […]

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The Safety-First Scorecard: Evaluating LLMs on Critical Crisis Management

New research describes how to hold AI accountable for how well it protects users in crisis. Listen to this article: Content Warning: This article discusses suicide. For those experiencing suicidal thoughts or ideations, help is always available. The 988 Suicide & Crisis Lifeline provides free 24-hour, confidential support by calling or texting 988 or visiting […]

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Cracking AI Content Creation

A large-scale study shows why perceived artificiality may be the new creative risk. Listen to this article: We’ve all become familiar with AI slop: low-quality content that is so obviously created by AI that we can’t believe it could fool anyone. But more and more, we seem to be confronted with the unsettling possibility that […]

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Out of the Loop?

The case for rethinking when humans should review AI output Listen to this article: We tend to treat human oversight in AI adoption as the responsible choice. But as organizations increase their reliance on AI, the feasibility of that plan falters: if AI is deployed at scale, there will simply be too many touchpoints to […]

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Does Your AI Work? Test It Where It Lives

A new framework argues that AI evaluation should start where AI actually gets used. Listen to this article: Real-world AI use is messy. Uneven user expertise, shifting workflows, institutional dynamics, and a range of other factors all have an effect on what we get out of AI, but we also want to have a clear […]

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