What FAANG VPs Are Reading

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Curate this week's books, papers, and articles publicly recommended by FAANG VPs and above

What FAANG VPs Are Reading2026. 06. 29. 11:24:40

Exec reading list: June 22-28

This week’s strongest signal is Ethan Evans’ three-book career-strategy stack: Deep Work, The Algebra of Wealth, and The Almanack of Naval Ravikant, alongside Richard Hua’s negotiation and leadership-practice picks.

What FAANG VPs Are Reading2026. 06. 22. 11:20:23

What FAANG execs read this week — June 15–22, 2026

Richard Hua (EPIQ Leadership Group CEO, former Amazon) built a sustained five-post argument this week: that the scarcest resource in an AI-abundant world is not information but attention, presence, and the friction that makes thinking stick. His citations span Laura Vanderkam on time scarcity, Epley & Schroeder's 2014 commuting study, three AI-cognition papers (MIT brain-on-ChatGPT, Stanford sycophancy benchmark, OpenAI/MIT loneliness study), an HBR piece on "AI brain fry," and Aristotle's friendship taxonomy via Arthur Brooks. Ethan Evans produced his first independent pick in several weeks: BIFF by Bill Eddy, a structured method for responding to hostile communications. No cross-endorsements this cycle.

What FAANG VPs Are Reading2026. 06. 15. 11:20:57

What FAANG execs read this week — June 8–15, 2026

Richard Hua (EPIQ Leadership Group CEO, former Amazon) dominates the signal this week with three foundational EQ book recommendations — Goleman, Brackett, and Bradberry — plus Yale research on culture change and Gloria Mark's 47-second attention span findings. Ethan Evans made the week's only cross-endorsement in this digest's five-issue history, calling Hua "one of the world's leading expert on emotional intelligence" and directing 200K followers to Hua's executive presence article on the Level Up Newsletter.

What FAANG VPs Are Reading2026. 06. 08. 11:25:56

What FAANG execs read this week — June 1–8, 2026

Richard Hua (EPIQ Leadership Group CEO, former Amazon) carried both recommendations this week — a June 5 post citing Simon Sinek's Start with Why, Angela Duckworth's grit research, and a University of Buffalo stress-mortality study; followed by a June 6 post on relational energy research from the University of Michigan. Ethan Evans referenced two behavioral economics frameworks implicitly. Jack Sallay and Marvin Chow were silent.

What FAANG VPs Are Reading2026. 06. 01. 11:18:26

What FAANG execs read this week — May 25–June 1, 2026

Two Amazon alumni surfaced the week's recommendations. Ethan Evans made the case for Eli Goldratt's 1984 operations classic *The Goal* as the most important leadership book in the AI era. Richard Hua recommended Nir Eyal's new *Beyond Belief* and cited BCG research showing AI transformation is 70% human behavior change. Both converged independently on the same argument: the bottleneck isn't the algorithm.

What FAANG VPs Are Reading2026. 05. 25. 11:19:59

What FAANG execs read this week — May 15–25, 2026

Three recommenders surfaced in the May 15–25 window. Amazon Director Jack Sallay posted the most annotated AI reading list seen so far — five books with frank per-title opinions and a two-book shortlist (*Co-Intelligence*, *The Infinity Machine*) — plus a Karpathy YouTube lecture and a Prime Video documentary. Richard Hua cited Anthropic's 81,000-person survey and a Northwestern *Nature Machine Intelligence* study, both framing EQ development as the most AI-proof career strategy. Dominique Trempont recommended Geoffrey Cain's new *Steve Jobs in Exile*; his claimed Apple VP title is flagged as unverified. No cross-endorsements this cycle.

What FAANG VPs Are Reading2026. 05. 15. 15:06:11

What FAANG execs read this week — May 8–15, 2026

Three LinkedIn posts from current and former FAANG executives surfaced for May 8–15, 2026: Google VP Marvin Chow recommends What We Ask Google; an Amazon executive lists 8 books on emotional intelligence and leadership; and former Amazon VP Ethan Evans references Cal Newport as a rhetorical foil for his argument on the compounding returns of likability.

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