
Read by Sam Altman, Ray Dalio, Ryan Holiday and 4 others

Bryan Johnson sold Braintree to PayPal, founded the neurotech company Kernel, and now spends millions trying to reverse his own biological age, and his book recommendations map that relentlessly data-driven mind. Collected here are 28 titles from his Twitter feed, the Kernel reading list, and podcast interviews including the Diary of a CEO, weighted toward science, psychology, philosophy, history, and biography. His top pick is Alfred Lansing's Endurance, which he reads for 30 minutes nightly before bed, imagining himself a member of Shackleton's crew, saying that is how he wants to behave in life. Also central are Viktor Frankl's Man's Search for Meaning and Daniel Kahneman's Thinking, Fast and Slow, which he says convinced him of his own fickleness and inability to act rationally. Longevity, cognition, existential risk, and the limits of human rationality recur across his choices.
Last updated February 2026 · Every recommendation cited to its original source.
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His 28 picks include Endurance by Alfred Lansing, Man's Search for Meaning by Viktor Frankl, Thinking, Fast and Slow by Daniel Kahneman, A Good Man by Mark Shriver, and Principles: Life and Work by Ray Dalio.
His top pick is Endurance by Alfred Lansing, which he reads for 30 minutes nightly before bed with no screens. Imagining himself in Shackleton's crew, he says, "That is how I want to behave in life."
They come from his Twitter and X posts, the Kernel reading list he compiled around neuroscience and the future, and podcast interviews such as the Diary of a CEO and The Jordan Harbinger Show.
Yes. He is the author of one book listed here, Code 7: Cracking the Code for an Epic Life, a collection of short stories for young readers about ambitious kids solving problems, reflecting his interest in reshaping how we live.
His recommendations focus on science and technology and psychology, with strong philosophy, history, and biography threads. They span longevity and sleep, cognition and decision-making, AI alignment and existential risk, and the limits of human rationality, mirroring his data-driven Blueprint and Kernel work.