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What happens when we build machines that can't adapt, and then rebuild the world to fit them?
For decades, artificial intelligence and automation have been described as forces that will transform society. But much of that transformation has already happened, quietly and incrementally, in places most people rarely think about.
Factories redesigned around machines. Workflows optimized for consistency. Algorithms trusted to make decisions once handled by human judgment.
Over time, these systems begin to feel natural. Necessary. Inevitable.
Revelation Machine follows this shift, from early industrial robots to modern automated environments, not to predict the future, but to examine what becomes visible when human decisions are repeated at scale.
The book does not argue that machines think or choose. Instead, it asks what they reflect. What their successes and failures reveal about how we define intelligence, efficiency, and value, and what gets quietly traded away along the way.
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