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The Horse Is Here to Stay
Work, Wages, and Human Purpose in the Age of Intelligent Machines
Author: David Vanheeswijck
Narrator: AI Voice Jonathan
Unabridged: 10 hr 48 min
Format: Digital Audiobook Download
Publisher: David Vanheeswijck, uitgever
Published: 08/17/2026
Categories: Nonfiction, Business & Economics, Technology & Engineering, Social Aspects
Includes:
Bonus Material
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Synopsis
This audiobook is narrated by an AI Voice. Somewhere a factory is running a full shift with the lights off. Not because the bulbs failed, but because no one is there who needs them. The output is real. What has gone missing is the worker, and with the worker, the wage.
For thirty years David Vanheeswijck wrote the software that let companies produce more without hiring more. The Horse Is Here to Stay turns that engineer's view on the economy those systems are now building, and arrives at the conclusion most writing on AI avoids: the problem is not that machines will take the jobs. The problem is who owns the machines.
The productivity gains from artificial intelligence are flowing to capital, not to labour, and that is a design choice, not a law of physics. Refusing both the robot panic and the utopia of a workless world funded by a universal cheque, the book makes the case for predistribution: changing who owns the productive assets before the returns are extracted. It works through the fifty-year decoupling of pay from productivity, the new micro-giants earning millions per employee, the quiet concentration of ownership, and the two places on earth where citizen ownership already works at scale, Norway's sovereign fund and the Alaska Permanent Fund. And it asks the question the technical fixes never reach: what people are for, once income is no longer the thing that organises a life.
Written by an engineer from inside the machine.
For thirty years David Vanheeswijck wrote the software that let companies produce more without hiring more. The Horse Is Here to Stay turns that engineer's view on the economy those systems are now building, and arrives at the conclusion most writing on AI avoids: the problem is not that machines will take the jobs. The problem is who owns the machines.
The productivity gains from artificial intelligence are flowing to capital, not to labour, and that is a design choice, not a law of physics. Refusing both the robot panic and the utopia of a workless world funded by a universal cheque, the book makes the case for predistribution: changing who owns the productive assets before the returns are extracted. It works through the fifty-year decoupling of pay from productivity, the new micro-giants earning millions per employee, the quiet concentration of ownership, and the two places on earth where citizen ownership already works at scale, Norway's sovereign fund and the Alaska Permanent Fund. And it asks the question the technical fixes never reach: what people are for, once income is no longer the thing that organises a life.
Written by an engineer from inside the machine.