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Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity

Explains why a thousand years of new technology so often made a few people rich while everyone else worked harder, and what it took, then and now, to make progress lift most people's lives.

Table of Content

Most of us hear the same promise every week: a smarter phone, a faster app or a new kind of AI will make life better for everyone. In Power and Progress, MIT economists Daron Acemoglu and Simon Johnson argue that a thousand years of history tell a harsher story, in which better tools often made a small group richer while the people using them worked harder for less.

Their case is that technology does not share its gains on its own. Power decides who benefits, and broad prosperity has arrived only when ordinary people organized and claimed a say in how new tools were used. The authors trace that pattern from medieval farms and British textile mills to American car factories, algorithm-run warehouses and a single change to Facebook’s news feed.

Once you see the pattern, the next headline about artificial intelligence will sound different. You will also know the three questions to put to any new tool at work: who chose it, who it watches and who keeps what it produces.

Most of us learned a simple chain linking better machines to better pay. Two economists test it against a thousand years of farms, mills and computers, and find it fails far more often than it holds.

A celebrated builder fresh from one triumph promised the world another, and waved away every warning. His story shows how confident visions of progress take hold, and who ends up paying when they go wrong.

Medieval farms produced more, ocean ships opened the world and early factories multiplied output. So why did the people doing the work see almost none of it? The answer links plows, ships and power looms.

For decades, British factory wages barely moved while output soared. Then something shifted, and by the twentieth century productivity and pay were rising together. The machines were not what changed.

Computers spread everywhere from the 1980s, and yet the link between output and pay began to snap. The authors explain what changed behind the scenes, and why much of today’s AI points the wrong way.

One algorithm change, decided by a handful of executives, reshaped what users saw in their feeds and deepened political division. The authors use it to show what is missing from technology today, and what could bring it back.

Power and Progress reads a thousand years of invention as a single argument about control. A plow, a cotton gin, a power loom and a hiring algorithm look nothing alike, yet each ended up serving whoever decided how it would be used. When peasants, weavers and warehouse workers had no voice, the gains stayed at the top. When workers organized and governments invested in people, the same kind of progress lifted wages, health and housing for millions.

That makes the future less fixed than the headlines suggest. Artificial intelligence and the platform giants are a set of choices, and choices can be contested. The habits this book supports are modest and practical. Treat any promise that a tool will benefit everyone as a claim to check. When a confident leader sells one path as the only one, ask what was dismissed along the way, the way de Lesseps dismissed his engineers before Panama. And wherever you have a voice, at work or as a citizen, use it on how new systems are designed and who they answer to.

Machines have never decided who wins from them. People have, and they still can.

About this book

What is this book about?

We are told every day that new technology will make life better for everyone. Yet productivity keeps rising while many people's wages stand still, surveillance spreads and power gathers in fewer hands. Daron Acemoglu and Simon Johnson, two MIT economists, set out to explain that gap and what can close it. Their answer is that inventions do not decide outcomes. People do. From medieval plows and the cotton gin to British textile mills and today's hiring algorithms, the authors show innovation being steered by elites who used it to control labor and keep the rewards. They also show the exception: when workers formed unions, voting rights expanded and governments invested in education, the same kind of progress raised wages and living standards for many workers, especially after the Second World War. The book then follows how that balance broke down from the 1980s, as unions weakened, tech platforms grew and AI was built mainly to monitor and replace workers. Readers get a clear framework for judging any new technology by asking who chose it, who it serves and who keeps the gains, plus the authors' case for putting democratic pressure back behind how technology is built.

Book Information

Rating:

Genre:

Economics, Technology & the Future

Topics:

Artificial Intelligence, Economic History, Inequality, Power Dynamics

Publisher:

Hachette

Language:

English

Narrator:

Cole

First published:

May 16, 2023

Pages:

592

Length:

16 min 02 sec

Get the book:

Amazon

Who it's for

  • Professionals watching AI arrive

    Professionals watching AI and automation arrive at work who want to judge who it really serves.

  • Leaders choosing new tools

    Managers and founders choosing new tools and wanting them to strengthen their people.

  • Wondering why pay stalled

    Readers puzzled why rising productivity has not meant rising pay since the 1980s.

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About the Author

Daron Acemoglu

Daron Acemoglu has taught economics at MIT since 1993 and became an Institute Professor in 2019. His research covers political economy, development and labor, and he won the John Bates Clark Medal in 2005. Simon Johnson holds the Ronald A. Kurtz chair in entrepreneurship at MIT Sloan and was Chief Economist of the International Monetary Fund in 2007 and 2008. In 2024 the two shared the Nobel Memorial Prize in Economic Sciences with James A. Robinson for their comparative research on why some nations prosper.

Ratings & Reviews

Ratings at a glance

4

Overall score based on 41 ratings.

What people think

Listeners find the work insightful, specifically valuing its manifesto-like critique of AI. They applaud the historical context, with one listener pointing out the detailed bibliography, and describe it as an engaging read. Reactions to the information quality are varied, though one listener notes its useful framework for understanding technological change.

Top reviews

Manika

After hearing so much about the recent Nobel win, I finally dived into this hefty volume. It is a monumental achievement that provides a much-needed framework for understanding why some technologies enrich the many while others only pad the pockets of the elite. The authors take us on a sweeping historical journey from the Neolithic revolution to the Panama Canal, proving that progress is never an accident of fate. It is a choice. Truth be told, the sheer depth of the research and the extensive bibliography make this feel like a definitive manifesto for our current age of AI anxiety. Acemoglu and Johnson don't just describe the world; they provide a toolkit to change how we think about automation and labor power. If you want to understand the machinery of the modern economy, start here.

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Mia

Can we talk about how terrifying the authors' vision of unregulated AI is? This book feels less like a dry economics textbook and more like a high-stakes manifesto for a fairer digital future. Personally, I found the breakdown of 'so-so automation' to be a total lightbulb moment. We often assume that any tech advancement is good, but the authors show that if it doesn't actually increase productivity while supporting workers, it’s just a tool for displacement. The writing is incredibly clear and persuasive despite the complex subject matter. It's rare to find a book that bridges the gap between deep historical analysis and urgent, current-day policy questions so seamlessly. This is essential reading for anyone who cares about where our society is headed in the next decade.

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Somchai

The central framework here—that technology is a social choice rather than an inevitability—is a massive paradigm shift. Most of us are taught that innovation naturally 'trickles down' eventually, but this book systematically dismantles that myth with brutal efficiency. I was particularly gripped by the sections on the Industrial Revolution. It’s a wake-up call. The authors argue that it took organized social power and institutional change to make the benefits of the steam engine reach the average person. Without those counter-pressures, the elite would have just kept the spoils. It is a dense read, sure, but the payoff is immense. It totally rewired my brain regarding how I view the billionaire-led tech landscape. Every chapter reinforces the idea that we need to stop being passive observers of 'progress' and start demanding tech that serves humanity.

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Saranya

Picked this up because I’m a fan of Acemoglu’s earlier work, but be prepared: it is a total marathon. The core thesis—that we need to redirect technological change toward human-complementary paths—is brilliant and vital. However, the authors do tend to hammer the same point home through a parade of historical anecdotes that can feel repetitive after the third or fourth example. To be fair, the insights into how the German economy manages labor vs. technology are fascinating and offer a glimmer of hope. It’s a compelling read that could have easily been 150 pages shorter without losing its bite. Despite the length, I’d still recommend it for the section on AI alone. It’s a sobering look at how we might be repeating the worst mistakes of the 19th century if we don't fix the power imbalance between capital and labor soon.

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Thongchai

Why do we assume innovation always lifts all boats? This book provides a stinging critique of that 'productivity bandwagon' and shows how often the masses are actually left behind during tech shifts. The chapter on the Panama Canal was a standout for me, illustrating how grand visions can become nightmares when paired with unchecked state and corporate power. The research is impeccable, and the tone is serious without being overly academic. My only real gripe is that the book is very US and UK-centric, only making token references to the rest of the world’s unique challenges. Still, as a framework for understanding the interplay of power and progress, it’s top-tier. It forces you to ask uncomfortable questions about who really benefits when a new 'disruptive' app launches. A bit long-winded, but undeniably insightful.

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Sam

This feels like 'economists finally discover that social power exists,' and honestly, it’s about time. While the academic world might find some of this basic, the way Acemoglu and Johnson package it for a general audience is masterful. They argue that tech doesn't have a pre-determined path; it follows the path of those with the most influence. I loved the distinction they made between technologies that empower people and those that merely monitor and replace them. The historical perspective is broad and well-referenced, providing a solid foundation for their criticisms of modern-day Big Tech. It is a bit of a slog in the middle chapters, but the final section on how to potentially fix our current trajectory is worth the effort. It's a necessary counter-narrative to the hype we hear from Silicon Valley every day.

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Narongrit

Look, the historical case studies are the real meat of this book and they are fantastic. From the shift in agricultural tools to the rise of middle-class entrepreneurs, the authors show that 'progress' has always been a battlefield. I appreciated the nuance they brought to the automation debate, specifically the idea that 'so-so' tech is the worst of both worlds. My experience reading this was mostly positive, though I did find myself skimming some of the repetitive sections toward the end. It’s a useful framework for anyone trying to cut through the AI noise. I would have liked to see more engagement with market-based solutions like UBI, which they dismiss a bit too quickly for my liking. Regardless, it is a very compelling and timely piece of scholarship that deserves a spot on your shelf.

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Pakpoom

Not gonna lie, I almost DNFed this around the 40% mark because the repetition is real. The authors have a great point—technology isn't inherently good and depends on power structures—but they say it in every single chapter with only slight variations. It feels like a very important 100-page essay padded out to 500 pages. In my experience, if you've read the intro and the first two chapters, you've basically gotten the gist of the whole thing. That said, the actual thesis is quite interesting and definitely changed how I view 'innovation.' I just wish it was more concise. If you have the patience for a slow-moving academic history, you’ll find some gems here, but otherwise, you might just want to find a summary online and save yourself twenty hours of reading.

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Amy

Is it just me, or do these brilliant economists only just now realize that power dynamics exist in technology? The book is well-argued, but it feels like it's trying to reinvent the wheel for a very specific audience of liberal technocrats. They blithely dismiss more modern research like 'How the World Became Rich' without much support, which felt a bit dismissive. I was hoping for a more concrete model of how to distribute productivity gains, but instead, we mostly get told that we should 'think about the people' more. Well, duh. How do we actually change the incentives for a trillion-dollar company? The book is mostly silent on the messy details of implementation. It's an okay read with a strong historical lens, but it left me wanting much more practical substance.

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Chai

Frankly, this was a massive disappointment given the pedigree of the authors. I had high hopes for a rigorous economic model, but what I got was a collection of anecdotes and a lot of hand-wringing about social power. The authors seem to ignore plausible market-based alternatives for helping displaced workers, focusing almost entirely on direct regulation of innovation. They dismiss UBI in two sentences, which felt intellectually lazy. Also, the book is incredibly repetitive; the same point about 'shared prosperity' is made on nearly every page. For a book about the future of technology, it feels strangely stuck in a very specific, narrow vision of 20th-century labor unions as the only solution. If you want a clear-headed look at the future of work, I’d suggest reading 'The Work of the Future' by David Autor instead. This one is a missed opportunity.

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Questions about this book

Acemoglu and Johnson argue that new technology does not automatically raise living standards. For most of the last thousand years, from medieval farming tools to factory machines and digital platforms, elites steered innovation and kept most of the gains. Broad prosperity appeared only when workers organized, won political rights and pushed governments to invest in people, as happened in the decades after the Second World War.

No. They say the inventions themselves were rarely the problem; the issue was how they were used and who decided. The cotton gin, textile machinery and today’s AI could serve many people or a few. Their proposal is to redirect innovation toward tools that expand what people can do, backed by independent research, strong regulation and collective bargaining.

The authors argue that most AI systems in use today are built to watch, replace or direct human workers, for example by screening job applicants, tracking output and guiding warehouse tasks. They say such systems often reduce autonomy and raise pressure while adding little to overall productivity, and that their benefits flow mainly to a small group of large technology companies.

According to the book, it was because of countervailing power. Unions had legal recognition, voting rights had expanded and governments invested in education and infrastructure. Employers who had to bargain with organized labor chose technologies that complemented workers, as early twentieth century American car makers did by creating new technical and clerical jobs alongside automation.

Judge any new tool by asking who chose it, whether it makes people more capable or easier to replace, and who keeps the gains. Be wary of leaders who present one path as inevitable, as Ferdinand de Lesseps did before the failed Panama canal. And use whatever voice you have, at work or as a citizen, on how new systems are designed.

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Power and Progress

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