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13 min 54 sec
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The Economic Singularity: Artificial Intelligence and the Death of Capitalism

Explains why artificial intelligence may end the long pattern of machines creating more jobs than they destroy. It also covers what mass joblessness could do to economies and people, and how basic income might help.

Table of Content

If you work with your head rather than your hands, you may assume automation is someone else’s problem. In The Economic Singularity, Calum Chace argues that this assumption is running out of time. For two centuries, machines pushed people into service and knowledge work, and now machines are learning to do that work too.

Chace, a former strategy consultant and CEO who now writes about artificial intelligence, accepts that technology has made us richer. But the old pattern, where lost jobs gave way to new ones, relied on humans keeping an edge machines lacked. Software that recognizes images, writes news and drives cars wears that edge down, so societies must plan now for an economy with far less work.

What follows is the history behind the optimists’ case, the technology that breaks it, the risks of mass joblessness, and a Canadian town where the government guaranteed every family a minimum income.

Victorian critics feared factories would ruin working people. What actually happened next explains why so many of us now sit at desks, and why that comfortable outcome may not last.

A whipped textile worker smashed his knitting machine and gave his name to a movement. Job data stretching back to 1871 suggest the movement got it wrong, at least until now.

Every earlier wave of automation left people a safe place to retreat to. A 2012 contest about pictures of cats and clouds hinted that the safe place is shrinking.

In 2004 the best driverless car in a famous race made it seven miles before hitting a rock. What happened over the following years shows how fast whole professions can lose their footing.

Cheaper goods sound like good news for everyone. Chace explains why the early boost from automation could turn into a slump, and why the safety nets we rely on may be far too small.

A small Canadian town once tested what happens when every family is guaranteed money. The result surprised the skeptics, but Chace warns that a paycheck cannot replace everything a job provides.

The Economic Singularity asks you to hold two ideas at once. History really is on the optimists’ side. From Newcomen’s steam engine to Deloitte’s study reaching back to 1871, machines have made nations richer and created more work than they destroyed. Yet Chace argues that this record depended on a condition that is now failing: the jobs people moved into are the very ones learning machines have begun to do. Quill’s sports reports and a robot seal in a Japanese care home are small signs of a large break.

The fitting response is planning rather than panic. Look at your own work the way Chace would. Which parts are pattern-spotting in data, and which industries around you exist only because of a task that could disappear? Watch who gets new technology first, since access may draw the next social divide. Treat the Dauphin result as a reason to take basic income seriously, while remembering the ten percent who could lose more than money.

A society with much less work can still function well, Chace believes, but only if someone designs it before the jobs are gone.

About this book

What is this book about?

For two hundred years, each wave of machines has destroyed some jobs and created more. Steam power drove the factory machines and freed many people for other work. Better factories then pushed people into teaching, nursing, consulting and other service work. Calum Chace accepts that history. He argues it is about to stop repeating. The reason is deep learning. Machines that learn from data can now recognize images, write news reports and drive cars. That puts them on track to take over the very service and knowledge jobs that once absorbed displaced workers. Chace follows the effects outward: driving and caregiving jobs at risk, an economy that shrinks when too many people lose their income, and a gap between rich and poor that new technology could make wider. His proposed answer is universal basic income. He draws on a 1970s experiment in the Canadian town of Dauphin, and he is frank about a cost that money cannot fix, the loss of meaning work gives many people. Readers get a clear argument about why this time may be different, and a case for preparing before the shock arrives.

Book Information

Rating:

Genre:

Economics, Technology & the Future

Topics:

Artificial Intelligence, Future of Work, Macroeconomics

Publisher:

Three Cs

Language:

English

Narrator:

Peter

First published:

July 1, 2016

Pages:

442

Length:

13 min 54 sec

Get the book:

Amazon

Who it's for

  • Office and knowledge workers

    Office and knowledge workers who assume automation only threatens factory jobs.

  • Business leaders weighing AI

    Founders and managers deciding how artificial intelligence will reshape their teams and customers.

  • Career switchers and students

    Career switchers and students weighing which kinds of work will still need people.

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About the Author

Calum Chace

Calum Chace was born in 1959 and studied philosophy at Oxford University. He spent thirty years in business as a marketer, strategy consultant and CEO. In 2012 he retired to write and speak about artificial intelligence. His books on AI include the novel Pandora's Brain, Surviving AI and The Economic Singularity, and he co-wrote The Internet Startup Bible. In 2024 he co-founded Conscium, an AI safety company.

Ratings & Reviews

Ratings at a glance

3.7

Overall score based on 191 ratings.

What people think

Listeners find that this book delivers solid insights into upcoming tech trends and is organized logically. They value its accessible style, with one listener describing it as a helpful beginner’s guide to the field. The title draws acclaim for its economic perspectives, as one listener points to the effective breakdown of social and economic effects.

Top reviews

Tar

Finally got around to reading this after hearing it referenced in several podcasts. Chace provides a remarkably clear entry-level introduction to how AI will eventually dismantle our current labor market. I found the 'centaurs' concept—humans working alongside AI—to be particularly illuminating, though the author argues this is only a temporary phase. While the writing is accessible, it occasionally feels a bit like a survey of other people's ideas rather than a deep dive into original economic theory. Still, for anyone trying to wrap their head around technological unemployment and the necessity of Universal Basic Income, this is a solid starting point. It’s well-structured and doesn't get bogged down in overly dense jargon, making it a quick, thought-provoking read that I've already recommended to several colleagues.

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Wan

As someone who works in tech, this felt like an essential primer on the social implications of our work. The book is incredibly informative in a 'nuts and bolts' way, laying out the timeline of AI development without getting lost in the weeds of the math. I think the author’s passion for the subject really shines through, especially in the later chapters where he explores the potential for a 'zombie-like' or 'zen-like' future for humanity. It’s a frightening potential future, but Chace’s clear prose makes it manageable. Even if you don't agree with his accelerated timeline, the questions he raises about the death of capitalism are impossible to ignore. Truth is, we really cannot do much until we see for sure that there is a problem, and this helps us stay educated.

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Gin

Ever wonder what happens when the machines take over everything? This book tries to answer that by distinguishing between intelligence and consciousness, which is a vital point many people miss. Chace argues persuasively that we are heading toward a world where most human labor is simply obsolete. I liked the focus on the 'Economic Singularity' as a precursor to the technological one, though I suspect his timelines are a bit too aggressive. Remember when we were told we'd have fully self-driving cars by now? It’s a harrowing look into the future, but it’s handled with a level head and clear logic. Chace writes for an audience likely new to these ideas, and they will likely welcome the clear laying out of his argument. Definitely a must-read for those worried about career longevity.

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Wararat

Chace makes a compelling, if slightly terrifying, case for technological unemployment that feels like a natural successor to Martin Ford’s work. I particularly appreciated the way he breaks down the history of work and automation before diving into the future. The section on Universal Basic Income was a highlight for me, as it’s a topic I’ve only recently started following closely. While some of the predictions from 2016 haven't aged perfectly (looking at you, autonomous vehicles), the core argument remains incredibly relevant. My only real gripe is that the ending feels a bit rushed, leaving the hardest problems for future generations to solve. I don't want to wait around for Millennials and Gen Z to deal with it. Still, it’s a provocative read that forced me to reflect on my own role.

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Valentina

The first 60% of the book is basically a history lesson and a collection of facts you’ve likely heard if you follow tech news. Chace writes for a general audience, which is great for accessibility, but it can feel a bit basic for anyone who has immersed themselves in these topics for a while. I enjoyed the chapters on possible scenarios the most, especially the discussion on how society might change if we stop tying our value to our productivity. However, I found the proposed solutions in the final chapters to be a bit unsatisfying and brief. It’s a good refresher, but it lacks the 'forceful admonishment' I think our current situation requires. It’s a decent 4-star effort that works well as a background summary and starting point.

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Rin

Look, predicting the future is a fool's errand, but Chace gives it a solid go here with a well-researched and structured argument. I found the breakdown of the 'Economic Singularity'—the point where AI makes human labor redundant—to be much more grounded than the typical sci-fi talk about superintelligence. The book does a great job summarizing the opinions of major AI players like those at Google and Tesla. It’s true that some of the estimations have already fallen flat since publication, but the underlying logic about exponential growth remains sound. It’s a fascinating, if somewhat dry, look at how our economic theories will eventually break down. It definitely makes you think about what comes next for humanity, for better or worse.

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Aim

This isn't just another dry tech manual; it’s a warning about the fundamental shift approaching our society. I was fascinated by the exploration of 'centaurs' and the eventual transition to total automation. While some might find the economic aspects a bit lacking compared to the tech history, I thought the balance worked well for a general reader. The author doesn't shy away from the scary stuff, but he also presents a vision where we could actually thrive if we get the policy right. It’s rare to find a book that handles such complex ideas with this much clarity. Frankly, it’s a starting point for a conversation we should have had years ago. I hope in coming years to see more exploratory works from even more diverse backgrounds featuring experts from different fields.

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Sarocha

A bit of a mixed bag for me, to be fair. On one hand, the research is clearly thorough and the bibliography is a goldmine for further reading. On the other hand, the prose can be incredibly dry, reminding me of a very long, very detailed book report by a particularly studious, nerdy guy. I was hoping for more radical economic modeling, but the book spends a lot of time on the history of automation which I already knew. The chapters on UBI were interesting but felt a little too brief given how much they represent the 'solution' to the problems presented. It's an acceptable overview if you're new to the topic, but it didn't offer the breakthrough insights I was craving. It’s well-researched but not particularly compelling as a narrative.

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Meen

Not what I expected given the title. While the book supposedly deals with the Economic aspect prior to the arrival of 'conscious' AI, I actually found it lacking on the actual economic theory. Chace borrows heavily from the terminology popularized by philosophers like Nick Bostrom, but most of the book is just a list of examples where AI is taking over white-collar jobs. This is fine if you’re new to the topic, but for anyone who has been following the 'inevitable tsunami' of job losses, there isn't much new here. It feels like it avoids the messy, complicated breakdowns of current economic laws in favor of a simpler narrative. I personally would have preferred more time spent on the challenges of a post-capitalist world rather than just the history of how we got here.

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Kai

Wanted to love this, but it felt like Chace was looking at the future through a very narrow lens. Where are the discussions on the greying of the population or the massive inequalities between nations that AI will only make worse? It's like he completely ignored climate change and other negative global trends that will intersect with the rise of AI. I found myself checking out during the middle sections because it felt repetitive. The book focuses so much on white-collar job losses in the West that it misses the bigger, messier global picture. It’s well-written enough, but the scope felt too limited for such a massive subject. I suspect I might have actually slept through some serious aspects if they were covered at all.

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Questions about this book

Calum Chace argues that machines have long made nations richer while creating more jobs than they destroyed, but artificial intelligence will break that pattern. Deep learning lets machines take on cognitive work in services, the sector that absorbed workers displaced by earlier automation. Without planning, he warns, mass unemployment could shrink economies and widen the gap between rich and poor, so societies must prepare for a world with far less work.

Chace points to service and cognitive jobs. The program Quill already writes sports and financial articles for the Associated Press. Self-driving cars threaten chauffeur and commercial driving jobs, along with driving tests, mechanics and much of car insurance. In healthcare, he expects constant health-monitoring devices by 2041 to automate basic tasks of doctors and nurses, and Japan already uses a caregiving robot seal called PARO.

Chace sees universal basic income as a necessity once most jobs can be automated. It could pay everyone unconditionally or work as a negative income tax that tops earnings up to a set level. He cites the 1970s Dauphin experiment in Canada, where 10,000 people received a guaranteed minimum income and only mothers of newborns and teenagers stopped working altogether.

List the parts of your work that involve finding patterns in data and writing them up, since those are most exposed to deep learning. Look at the jobs around a task, such as insurers and repairers, to see how far automation could spread. And because Chace expects about ten percent of people to struggle without work, build at least one meaningful pursuit that does not depend on a paycheck.

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The Economic Singularity

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