Robin Hanson's 'Age of Em': A Deeply Strange, Surprisingly Rigorous Vision of a Post-Human Future

Robin Hanson — economist, physicist, and professional contrarian — has written what may be the most ambitious work of serious futurism ever attempted. 'Age of Em' stakes out a specific, densely argued vision of life a century or so from now, built around a single technological premise: that brain-scanning technology will advance far enough to allow human minds to be emulated neuron-by-neuron on computers. The resulting 'ems' — uploaded humans — become the central actors in Hanson's future world, and the book proceeds to describe that world with the deadpan exhaustiveness of a corporate case study, covering everything from cooling pipe infrastructure to swear word evolution.

Hanson's core argument rests on the idea that AI will remain too difficult to matter, while brain emulation will become feasible within roughly a century. Emulated humans share three radical differences from biological ones: they have no physical body and thus no material needs; they can be run faster or slower depending on available hardware, meaning a subjective century could pass in an objective week; and they can be copied indefinitely, turning one person into thousands of simultaneous instances. These properties cascade into a civilization almost unrecognizable from our own — one of Hanson's central points is that most naive assumptions about the future are quietly wrong.

The reviewer — himself deeply influenced by Hanson's long-running blog 'Overcoming Bias' — admires the book enormously while also scrutinizing its futurological foundations. Hanson defends serious forecasting by pointing to historical successes like Herman Kahn's 1967 book 'The Year 2000,' which was 80% accurate on computing and communications, and engineer John Watkins' 1900 essay predicting features of modern society. But the reviewer pushes back hard: of Watkins' 28 predictions, only about eight hold up at all, and the rest include predictions like peas the size of beets, the elimination of all insects, underground cities, and the removal of C, X, and Q from the English alphabet. Hanson is right that Watkins is the best example of long-range futurology — which only underscores how difficult the enterprise actually is.

Hanson himself is careful about confidence, stating explicitly that he expects only 10% of his predictions to hold unconditionally and 30% conditional on his key assumptions. But the sheer scope and specificity of the book creates a strange cognitive effect anyway. He cites research showing mental fatigue reduces performance by 0.1% per minute and recovers at 1% per minute during rest, then extrapolates that em work tasks will be designed to last about one hour. He cites age-peak data for experimental vs. conceptual artists to predict the subjective age at which most working ems will operate. He notes that wars follow a power-law distribution across sizes, then applies it to future conflict dynamics. The style is relentlessly professorial, making no distinction in tone between pipe cooling logistics and speculation about romantic relationships among copied selves.

Beyond its futurology, the book functions simultaneously as an introduction to Hanson's signature intellectual frameworks (near vs. far mode thinking, farmer/forager dichotomies, signaling theory), a whirlwind survey of present-day social science, and a kind of manifesto — using the guise of futurism to advocate for real-world ideas like prediction markets, which Hanson invented and has promoted for decades. The reviewer compares the experience to Charles Stross's novel 'Accelerando,' which featured inscrutable posthuman entities running an incomprehensible Economy 2.0, except Hanson actually opens the black box and explains, in exhaustive detail, what those entities would be doing — and why.