Why It's On My Shelf
Lee reframes AI progress as an execution problem rather than a research race. Data scale, speed of deployment, and market structure matter more than breakthroughs. CIOs can use this perspective to think globally about competition, supply chains, and where sustainable advantage is likely to emerge.
Co-Intelligence
Ethan Mollick
An exploration of how to live and work with AI as a partner, focusing on the practical integration of Large Language Models into daily workflows.
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All-In on AI: How Smart Companies Win Big with Artificial Intelligence
Tom Davenport & Nitin Mittal
Case studies and frameworks for companies that have moved beyond experiments to make AI a core part of their business strategy.
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Prediction Machines: The Simple Economics of Artificial Intelligence
Ajay Agrawal, Joshua Gans & Avi Goldfarb
An economic framework for understanding AI, framing the technology as a drop in the cost of prediction and exploring its impact on decision-making.
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