Literature on artificial intelligence (AI) is everywhere, and for good reason. McKinsey research estimates that generative AI could add between $2.6 trillion to $4.4 trillion annually to the economy while increasing the impact of all AI by 15 to 40 percent. No matter how much you already know, there's always more to learn about the quickly evolving technology. Here are six books recommended by leaders, including McKinsey’s Yuval Atsmon and Lareina Yee. For more suggestions from 50-plus global executives, editors in chief, and McKinsey leaders, check out “What to read next: McKinsey’s 2024 annual book recommendations.”
AI Needs You: How We Can Change AI’s Future and Save Our Own by Verity Harding
Recommended by:
Lila Ibrahim, COO, Google DeepMind; Young Global Leader, World Economic Forum
The Singularity Is Nearer: When We Merge with AI by Ray Kurzweil
Recommended by:
Yuval Atsmon, senior partner, McKinsey
Co-intelligence: Living and Working with AI by Ethan Mollick
Recommended by:
Lareina Yee, senior partner, McKinsey
Reid Hoffman, cofounder, LinkedIn; partner, Greylock Partners
God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning by Meghan O’Gieblyn
Recommended by:
Nicholas Dirks, CEO and president, New York Academy of Sciences; former chancellor, University of California, Berkeley
Ideas That Created the Future: Classic Papers of Computer Science by Harry R. Lewis
Recommended by:
Amy Webb, founder and CEO, Future Today Institute
The Coming Wave: Technology, Power, and the Twenty-First Century’s Greatest Dilemma by Mustafa Suleyman, with Michael Bhaskar
Recommended by:
Lareina Yee, senior partner, McKinsey