Atlas of AI Summary & Review: The True Cost Behind Every Query

Kate Crawford's Atlas of AI traces the mining, labor, and data costs hidden behind every AI system — and what to do once you can see them.

Kate Crawford's Atlas of AI traces the mining, labor, and data costs hidden behind every AI system — and what to do once you can see them.

Pedro Domingos maps machine learning's five competing tribes — symbolists, connectionists, evolutionaries, Bayesians, and analogizers — and argues they're all pointing at one unifying master algorithm.

Robert Kiyosaki's classic breaks down assets, liabilities, and the mindset shift that separates people who build wealth from people who just make money.

Michael Lewis's true story of the outsiders who saw the 2008 subprime crisis coming and bet against Wall Street — margin of safety, conflicts of interest, and how complexity hides risk.

Depression and anxiety are often signals of disconnection, not broken brain chemistry. Johann Hari's research-backed guide to the 9 real causes and 7 reconnections.

Crucial Accountability breaks down CPR and the Six Sources of Influence for diagnosing broken promises before you confront them — full framework, 3 infographics, and a 7-day plan.

Kissinger, Schmidt, and Huttenlocher's The Age of AI argues artificial intelligence is a philosophical rupture on the scale of the Enlightenment, reshaping human identity, security, and politics.

Mo Gawdat's Scary Smart argues superintelligent AI can't be stopped, so the real lever is shaping what it learns from our collective online behavior, and offers a practical framework for doing that.

McAfee and Brynjolfsson's Machine, Platform, Crowd shows how winning organizations rebalance mind and machine, product and platform, and core and crowd, and gives leaders a framework for deciding where to shift next.

Klaus Schwab's The Fourth Industrial Revolution explains how the fusion of physical, digital, and biological technologies is reshaping every industry at once, and what leaders need to do to navigate it.

Cathy O'Neil's Weapons of Math Destruction shows how opaque, large-scale algorithms in hiring, lending, and policing can quietly encode bias into unaccountable, harmful decisions — and what fairer models would require.

Hannah Fry shows exactly where algorithms already decide bail, treatment, and driving decisions — and where meaningful human control still matters most.