What is *The Technology Trap* by Carl Benedikt Frey about?

*The Technology Trap* examines how technological advancements, from the Industrial Revolution to modern AI, reshape economies, labor markets, and societal power dynamics. Frey argues automation risks displacing both blue-collar and white-collar jobs, widens skill gaps, and exacerbates inequality, while historical parallels like "Engels’ Pause" highlight the tension between short-term disruption and long-term progress.

Who is Carl Benedikt Frey?

Carl Benedikt Frey is a Swedish-German economist and Oxford University’s Dieter Schwarz Associate Professor of AI & Work. A leading expert on automation’s societal impacts, he directs Oxford’s Future of Work programme and authored influential research on job displacement trends. His work blends economic history with contemporary policy analysis.

Who should read *The Technology Trap*?

Policymakers, economists, and professionals in tech or labor fields will benefit from its insights. The book also appeals to general readers interested in automation’s societal consequences, offering historical context and data-driven predictions about AI’s impact on jobs and inequality.

Is *The Technology Trap* worth reading?

Yes—it’s a rigorously researched analysis of automation’s risks, praised for linking historical patterns (like the Luddite protests) to modern debates. Frey’s focus on political power dynamics and policy solutions makes it essential for understanding how to navigate technological disruption.

What are the main arguments in *The Technology Trap*?

- **Automation threatens diverse jobs**: AI and robotics impact sectors beyond manufacturing, including finance and customer service. - **Labor market polarization**: A "superstar" class with specialized skills emerges, while others face instability. - **Skill gaps intensify**: Education systems lag behind workplace demands. - **Gig economy risks**: Temporary work offers flexibility but reduces job security.

How does *The Technology Trap* compare to other books on automation?

Unlike purely futurist takes, Frey grounds his analysis in 300+ years of economic history, emphasizing how political power shapes who benefits from technology. This contrasts with works like *The Second Machine Age*, which focus more on innovation’s potential.

What historical examples does Frey use to explain technological disruption?

Frey highlights the Industrial Revolution’s "Engels’ Pause" (1780–1840), where wages stagnated despite productivity gains, and the Luddite uprisings. These show how labor-replacing tech can trigger prolonged inequality and social unrest before broader benefits materialize.

What is the "technology trap" concept?

It describes societies’ tendency to resist labor-replacing technologies that cause short-term harm, even if they promise long-term gains. Frey argues this trap stalled progress during preindustrial eras but warns modern resistance could hinder AI’s potential.

Технологическая ловушка

Капитал, труд и власть в эпоху автоматизации

Карл Бенедикт Фрей

4.13(597 Reviews)

Обзор книги Технологическая ловушка

В книге «Технологическая ловушка» (The Technology Trap) оксфордский экономист Фрей раскрывает, как автоматизация создавала победителей и проигравших на протяжении всей истории. Книга, признанная лучшим изданием по версии Financial Times, объясняет, почему налоги на роботов набирают популярность и почему Ниал Фергюсон называет её «жизненно важной» для понимания нашего будущего, движимого искусственным интеллектом.

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Глава 1

When Progress Leaves People Behind

The year is 1811. A group of desperate British textile workers gather under cover of darkness. Armed with hammers and axes, they storm into factories across Nottinghamshire, smashing the mechanical looms that threaten their livelihoods. These "Luddites" aren't mindless technophobes - they're skilled craftsmen facing economic extinction. Two centuries later, their concerns echo in our modern anxiety about artificial intelligence and automation. Carl Benedikt Frey's "The Technology Trap" has become essential reading for tech leaders and policymakers alike, with Bill Gates calling it "a must-read for anyone interested in how emerging technologies might shape our future." Elon Musk reportedly keeps a copy on his nightstand, while Barack Obama included it in his 2019 summer reading recommendations. The book's central insight - that technological progress creates both winners and losers - has sparked conversations from Silicon Valley boardrooms to presidential debates, making it one of the most influential economic analyses of our technological moment.

Глава 2

The Technology Trap: A 10,000-Year Perspective

For most of human history, we've been caught in what Frey calls a "technology trap" - a pattern where labor-replacing innovations faced fierce resistance from workers and political elites alike. This wasn't irrational. When Roman Emperor Vespasian rejected a labor-saving device for transporting columns, declaring "How will it be possible for me to feed the populace?", he recognized that technological unemployment could trigger social unrest that threatened his rule. This pattern persisted across civilizations and centuries. Queen Elizabeth I denied a patent to William Lee's stocking-frame knitting machine in 1589, concerned it would make her subjects "beggars." In Germany, automatic looms were prohibited from 1685 to 1726. When Denis Papin demonstrated his steam-powered boat on the Fulda River in 1707, threatened boatmen destroyed his invention. The resistance wasn't merely political. Craft guilds, which controlled apprenticeship and production across preindustrial Europe, systematically blocked technologies threatening their members' livelihoods. While they accepted innovations enhancing members' skills, they fiercely opposed those rendering skills obsolete. This selective technological conservatism wasn't unique to Europe - Chinese guilds explicitly forbade new tools in their regulations. Despite this resistance, technological creativity flourished throughout history. Classical civilizations like Rome excelled in civil engineering, creating superior water systems, heating, and cement masonry. The discovery of the Antikythera mechanism - an astronomical computing device from the first century B.C. - reveals their astonishing capabilities. As historian Derek Price noted after reconstructing it, "Men who could have built this could have built almost any mechanical device they wanted to." The medieval period saw technological progress increasingly serving economic rather than political purposes. Agricultural innovations like the heavy plow, three-field system, and improved horse harnesses dramatically boosted productivity. Water and wind power represented another breakthrough - the Domesday Book of 1086 listed 5,624 water mills for about three thousand British communities. The late Middle Ages has been described as a "medieval industrial revolution based on water and wind." Yet despite these advances, living standards remained largely stagnant. The Malthusian trap partly explains why - technological improvements temporarily increased incomes, which reduced death rates, causing population growth until incomes returned to subsistence levels. But this theory doesn't fully explain why many Industrial Revolution technologies weren't developed earlier. The key missing factor was institutional change - the political power to overcome resistance to worker-replacing technologies.

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Глава 3

The Industrial Revolution's Dark Side

The Industrial Revolution that began in Britain around 1769 represented an unprecedented transformation in human history. While we celebrate its long-term benefits, the process itself caused immense suffering that we've largely forgotten. Before 1840, material standards and living conditions failed to improve despite expanding output. Workers in industrial cities like Manchester faced hazardous conditions, long hours, and life expectancies ten years below the national average. Most disturbingly, the economic gains overwhelmingly flowed to industrialists. Real weekly wages rose just 12% between 1780-1840, while working hours increased 20% - effectively reducing hourly earnings. Meanwhile, profits doubled and income inequality soared, with the top 5% nearly doubling their share from 21% to 37% between 1759-1867. The domestic production system's downfall devastated skilled artisans. New factory jobs were designed specifically for children - "the robots of the Industrial Revolution" - who worked for less and were easier to control. By the 1830s, children comprised half the textile workforce. Adult artisans suffered catastrophically, with victims numbering "in the hundreds of thousands or even millions" according to historian David Landes. The critical distinction that Frey highlights is between enabling and replacing technologies. Enabling technologies make workers more productive without displacement - like computer-aided design software for architects. Replacing technologies, however, render jobs obsolete - like automatic elevators eliminating elevator operators. The Industrial Revolution technologies were predominantly replacing, which explains the widespread resistance to them. This resistance wasn't unique to the Luddites. When the mechanized factories displaced traditional systems, the British government deployed 12,000 troops against the protesters - more than Wellington took against Napoleon. What made Britain different wasn't the absence of resistance but the government's response. Unlike previous eras when authorities sided with workers, Britain's political power had shifted to merchants who benefited from mechanization. The short run differed dramatically from the long run. Only after seven decades did technological progress begin benefiting ordinary people. In the closing decades of the Industrial Revolution, as productivity growth accelerated with steam adoption, real wages finally began rising in tandem with output. This transition occurred largely because later industrialization featured capital that augmented rather than replaced workers' skills, as factories grew more complex and needed skilled operators, engineers, and administrators.

Глава 4

The Great Leveling: When Technology Lifted All Boats

The Second Industrial Revolution beginning in the 1870s marked a fundamental shift in technology's relationship with labor. Unlike the First Industrial Revolution, workers embraced rather than resisted mechanization because the benefits were overwhelmingly positive. Technologies like the internal combustion engine and electricity created enormous new industries and job opportunities in automobiles, aircraft, tractors, electrical machinery, telephones, and household appliances. Factory electrification transformed manufacturing, though its full productivity benefits took decades to materialize. Simply replacing steam engines with electric motors without reorganizing production failed to capture electricity's potential. The breakthrough came with the shift to unit drive, where individual machines had their own motors. This eliminated the jungle of belts, pulleys and shafts previously needed to distribute power, allowing factories to be completely reconfigured around assembly line techniques. While the Industrial Revolution mechanized factories but left homes untouched, the Second Industrial Revolution brought electrical appliances that transformed household labor. These devices dramatically reduced physical drudgery and enabled women to enter the workforce. Economist Stanley Lebergott estimated housewives' workweeks dropped by forty-two hours between 1900-1966, while standards of cleanliness rose dramatically - weekly vacuuming replaced seasonal rug-beating. The automobile revolution and road construction reinforced each other in a virtuous cycle. Henry Ford's Model T revolutionized affordability, with prices dropping from $950 in 1908 to just $263 by 1927. As a percentage of annual disposable income, car ownership costs plummeted from 316% to 43%. Automobiles fundamentally reshaped American life and geography, reorganizing cities into specialized districts and enabling suburban expansion. Agriculture underwent an equally dramatic transformation. Farm tractor adoption surged from just 3.6% in 1920 to 80% by 1960, while the horse and mule population collapsed from twenty-five million to three million. This mechanization delivered massive economic benefits - economist William White estimated direct social savings exceeding 8% of gross national product by 1954. The workforce transformation was remarkable - agriculture's share fell from 45.9% in 1870 to just 1% by 2015. By 1970, the percentage of physically challenging and dangerous jobs had plummeted from 63.1% to just 9%. Technology not only made jobs safer but also better-paying. Between 1870-1980, hourly compensation tracked closely with labor productivity. As America grew richer between 1900-1970, it also became more equal. The "great leveling" saw income disparities decrease throughout the distribution, not just at the top. Public schooling was essential to making technological gains widely shared. The high school movement (1910-1940) saw diploma attainment rise from 9% to 40%. By 1920, a quarter of the workforce was in occupations requiring at least a high school degree. During the thirty years after World War II, industrial workers earned unprecedented wages that supported modest homes, cars, and even vacations. Young high school graduates could expect secure jobs with decent wages, allowing blue-collar workers to join the middle class based solely on their earnings. Unlike the 19th century when workers sometimes rebelled against mechanization, the 20th century saw no such resistance because the benefits of progress were simply too great to resist.

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Глава 5

The Computer Revolution and Middle-Class Decline

The twentieth century's greatest achievement - creating a diverse and prosperous middle class - is now in dramatic decline. While technology played a key role in the middle class's rise through industrialization and mass production, it's also central to its fall. The computer era marks both a fundamental shift in labor markets and a transformation in economic thinking about technological progress, challenging long-held assumptions about productivity and prosperity. Before electronic computers arrived in 1946, humans were the computers - typically women who specialized in basic arithmetic, statistical analysis, and mathematical calculations. These "human computers" worked in industries ranging from astronomy to ballistics, performing complex calculations by hand. Computerization initially focused on routine work that could be described through rule-based logic, such as payroll processing, inventory management, and basic accounting. These supposedly mindless, machine-tending jobs that critics derided actually employed a large share of the American middle class, clustered at the middle of both skill and income distributions, providing stable careers and comfortable lifestyles for millions. The personal computer, declared "Machine of the Year" by Time in 1982, marked the true beginning of widespread automation in offices and homes. As computers became more affordable, dropping from tens of thousands to hundreds of dollars, routine employment began to shrink across industries. Bank tellers, bookkeepers, and data entry clerks saw their roles transformed or eliminated. Computerization has been limited by two significant paradoxes: Polanyi's (we know more than we can tell, making creative work hard to automate) and Moravec's (computers struggle with physical tasks easy for humans, like walking or recognizing faces). This has created labor market polarization - growth in high-paying jobs requiring complex thinking and low-paying service jobs, while hollowing out middle-skill routine jobs that once formed the backbone of middle-class employment. Today's computer era parallels what economic historians call "Engels's pause" during the Industrial Revolution - a period when mechanized factories displaced domestic industry, worsening economic prospects for many despite unprecedented economic growth. The modern parallel is striking: American labor productivity has grown eight times faster than hourly compensation since 1979, with gains increasingly concentrated among capital owners rather than workers. As the economy has become more productive, real wages have stagnated and labor force participation has declined, particularly among men without college degrees. When replacing technologies make workers' skills redundant, they reduce earning capacity for significant portions of the population. The case of typographers vividly illustrates this pattern. Between 1979 and 1989, their employment plummeted from 170,000 to 74,000 while wages declined 16 percent. Though desktop publishing created new opportunities for graphic designers, few typographers successfully transitioned to these roles, which required entirely different skills in digital design and computer software. Similar patterns have played out across industries, from manufacturing to customer service, where automation has eliminated traditional career paths while creating new ones requiring fundamentally different skill sets.

Глава 6

The Geography of Inequality

The computer revolution has transformed not just workplaces but entire communities. Since 1979, over seven million American manufacturing jobs have disappeared, with industrial towns bearing the harshest consequences. Port Clinton, New York exemplifies America's economic transformation. In the 1950s, it was a thriving blue-collar middle-class town where few parents had college degrees but most enjoyed postwar prosperity through factory work, mining, or farming. Half a century later, Port Clinton presents a "split-screen nightmare." As manufacturing jobs disappeared, births out of wedlock rose, child poverty skyrocketed, and upward mobility reversed. Downtown shops stand empty, driven out by big-box retailers and shrinking local paychecks. This pattern repeats across America. Charles Murray's statistical construct "Fishtown" (representing white citizens without college degrees in blue-collar or low-income service jobs) shows how the working class has become increasingly detached from American society. These social ills directly link to labor market outcomes. When workers' expected earnings fall, the opportunity cost of illegal activity decreases. Studies show that as unskilled workers' wages fell by 20 percent between 1979-97, property crimes rose by 21 percent. Marriage rates among blue-collar workers also declined as their economic prospects weakened, making men less "marriageable." Plant closures led to not just 25 percent earnings losses but also 50-100 percent increases in short-term mortality rates. America's geographic income convergence halted in the 1980s as cognitive segregation intensified. Economists Ganong and Shoag found that historically, migration from poor to wealthy regions drove income convergence by holding down wages in rich areas while helping poorer regions as people left. This pattern broke down when new jobs clustered in skilled cities with strict land-use regulations, making migration unaffordable for unskilled workers. Automation's impact varies dramatically by region. Over half of America's industrial robots are concentrated in just ten states, mostly in the eastern heartland where male joblessness and dissatisfaction are highest. Michigan alone has nearly as many robots as the entire American West. Joblessness varies accordingly - 51% of middle-aged men don't work in Flint, Michigan versus just 5% in Alexandria, Virginia. This uneven distribution creates multiplier effects: each new tech job generates about five additional local service jobs, while each lost manufacturing job costs another 1.6 service jobs. The result is a dramatically divergent America - once-prosperous manufacturing cities have declined while skilled cities have flourished, creating what economist Edward Glaeser calls "an ever more uneven America with rich, successful, skilled regions that compete well worldwide and poor, unskilled regions that are repositories of despair."

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Глава 7

The Politics of Polarization

What happens when society fractures and the middle class shrinks? Liberal democracy depends on a strong middle class - societies with extreme inequality historically trend toward oligarchy or populist revolution. As Barrington Moore famously stated, "no bourgeoisie, no democracy." The relationship between democracy and redistribution is complex. While Alexis de Tocqueville worried that universal suffrage would lead to the poor taking wealth from the rich, America's early democratization didn't produce significant redistribution. Before the Great Depression, U.S. government poor relief never exceeded 0.6% of national income. The post-WWII era saw a strong middle class with shared aspirations across blue-collar and white-collar workers. This economic equality translated into centrist, middle-class politics where "everyone knew everyone else's first name." As Robert Gordon notes, this expanding middle class was "property owning, bourgeois in outlook, centrist in politics," creating political stability and moderating extremism in both parties. As the middle class has shrunk, moderate members of Congress have disappeared, creating a polarized system where "conservative and liberal have become almost perfect synonyms for Republican and Democrat." The relationship between economic and political polarization functions as a self-reinforcing cycle. Economic inequality fuels political division which makes addressing inequality more difficult. The decline of unions has had profound consequences beyond wages. In the 1950s, the United Auto Workers negotiated the "Treaty of Detroit" with major car companies, securing higher wages and benefits in exchange for labor peace. But as sociologist Andrew Cherlin notes, today's workers and employers "do not trust each other to pledge much of anything" as union power has faded. Similarly, political parties have shifted away from representing the unskilled. Thomas Piketty shows that in the 1950s-60s, left-wing parties in France, Britain, and America were elected by voters with limited education. Now these parties are associated with highly educated elites, creating what Piketty calls a "multiple-elite party system" where the educated elite votes for the left while the wealthy vote for the right. This has left the unskilled increasingly detached from mainstream politics. The political system's unresponsiveness to working-class concerns has fueled populism and identity politics. For decades, the decline in blue-collar jobs was masked by increasing female workforce participation and by easy credit that maintained consumption levels even as incomes fell. The housing bubble, fueled by liquidity from China, created an illusion of rising living standards until it burst in 2007. Though globalization has become the political target, automation has played a quantitatively greater role in deindustrialization and inequality. Public opinion increasingly reflects technology anxiety. In 2018, nearly all 25,000 Las Vegas Culinary Workers Union members voted to strike, demanding protection against automation. A 2017 Pew survey found 85% of Americans support restricting automation to hazardous jobs, with 58% favoring limits on job replacement by machines.

Глава 8

The Future of Work in the AI Age

AI represents a fundamental shift from the rule-based era of computing to machine learning, allowing computers to perform tasks we struggle to articulate or explain. While Deep Blue's chess victory relied on top-down programming with explicit rules, AlphaGo's 2016 triumph over world champion Lee Sedol demonstrated bottom-up machine learning, where the computer inferred its own rules from millions of games. This breakthrough has been powered by three key factors: exponentially growing datasets (big data), Moore's Law improving computing power, and increasingly sophisticated algorithms. The technology has already achieved human-level performance in tasks like skin cancer diagnosis and speech transcription, while beginning to replace workers in interactive roles through systems like Siri, Google Assistant, and AI-powered call centers. Autonomous driving has made remarkable progress since DARPA's first grand challenge in 2004. While autonomous vehicles excel in structured environments like warehouses, hospitals, and mines, they're now venturing into unstructured city environments through machine learning from millions of miles of human driving data. Companies like Daimler-Benz have successfully deployed self-driving trucks, potentially affecting the 1.9 million Americans working as truck drivers. Our analysis shows 47% of American jobs are technologically susceptible to automation. The most vulnerable occupations include office and administrative support, production, transportation and logistics, food preparation, and retail jobs - positions that generally require lower education levels and offer lower wages. When sorted by wage levels, 83% of workers in occupations paying less than $20/hour face high automation risk, compared to only 4% for those earning over $40/hour. Despite common misconceptions, automation primarily threatens lower-skilled rather than highly-skilled professions. For example, while lawyers may see some tasks automated (roughly 13% according to research), most of their work requires human interaction, emotional intelligence, and creative thinking that cannot currently be automated. Though the scope of automation is significant, its pace depends on many unpredictable factors beyond technology itself. As Roy Amara observed, "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run." Historical perspective suggests the current automation wave isn't unprecedented - agriculture employed 46% of Americans in 1870 but only 1% today.

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Глава 9

Building a More Inclusive Future

If people race alongside machines rather than rage against them, education becomes crucial for adapting to technological change. Claudia Goldin and Lawrence Katz demonstrated that America's economic dominance throughout most of the twentieth century stemmed from having the world's most educated population, enabling innovation and technological advancement. The greatest policy challenge is addressing educational inequality. Children from disadvantaged backgrounds consistently show lower educational attainment, with skill deficits emerging early and persisting throughout life. Early childhood education offers the most effective solution. Nobel laureate James Heckman's research shows that quality preschool programs for disadvantaged children yield 7-10% annual returns through improved educational outcomes, better health, higher productivity, and reduced crime. Beyond education, Frey recommends a comprehensive approach including wage insurance, expanded tax credits, reduced occupational licensing, mobility vouchers, and zoning reform. Wage insurance - compensating workers forced to accept lower salaries - would help ensure fewer people are left worse off by automation while making unskilled work more attractive than unemployment. The Earned Income Tax Credit has proven effective at increasing workforce participation among single parents while dramatically improving children's well-being, educational outcomes, and intergenerational mobility. Studies show children in families receiving just a few thousand dollars in transfers gain significant lifelong advantages. Regulatory barriers to job mobility hurt productivity, wages, and equality. The expansion of occupational licensing in America - from 10% of workers in 1970 to nearly 30% in 2008 - makes it harder for displaced workers to switch careers. Similarly, noncompete clauses prevent employees from taking similar jobs at competing firms. As skilled cities become more attractive, restrictive zoning regulations make them unaffordable, limiting who can participate in tech-driven growth. Economists estimate that without such restrictions, the American economy would be 9% larger today, adding nearly $7,000 to the average worker's annual income. The middle-class economic order has withered. Before the Great Recession, subsidized credit masked automation's pressure on middle-income households, while construction jobs offset manufacturing losses. The recession exposed this decline, fueling populism. Looking ahead, automation will increasingly target not just manufacturing but unskilled jobs in transportation, retail, logistics, and construction. If technology fails to benefit everyone, we cannot assume broad acceptance of technological change. Unlike the Luddites, today's workers have seen technology's potential to raise all boats - but they also have higher expectations and voting rights. No single policy can address automation's challenges. Moderate politicians face a difficult balance: exaggerating automation's effects could fuel fears and populism, while glossing over its costs damages credibility. Whether or not "this time is different," the fundamental challenge remains political and distributional, not technological. Regardless of technology's future, shaping its economic and societal impact remains our responsibility.

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Ключевые темы в Технологическая ловушка

technological unemployment
labor replacing innovation
industrial revolution inequality
automation anxiety
political resistance to progress

Цитаты из Технологическая ловушка

Technological progress has been a central driver of rising living standards since the Industrial Revolution.
"How will it be possible for me to feed the populace?"
The Industrial Revolution caused immense suffering that we've largely forgotten.
New factory jobs were designed specifically for children.
Replacing technologies render jobs obsolete.

Персонажи в Технологическая ловушка

Carl Benedikt FreyAuthor and economic historian
VespasianRoman Emperor who resisted labor-saving devices
Queen Elizabeth IMonarch who denied patents to protect workers
William LeeInventor of the stocking-frame knitting machine
Denis PapinInventor of a steam-powered boat

Об авторе

Карл Бенедикт Фрей, автор книги «Технологическая ловушка: капитал, труд и власть в эпоху автоматизации» (The Technology Trap: Capital, Labor, and Power in the Age of Automation), — шведско-немецкий экономист и профессор Оксфордского университета, известный своими экспертными знаниями о влиянии технологий на рынки труда и экономическую историю.

Занимая должность адъюнкт-профессора Дитера Шварца по вопросам ИИ и работы в Оксфордском институте интернета и являясь директором программы Оксфордской школы Мартина «Будущее работы», Фрей сочетает академическую строгость с практической значимостью, консультируя такие институты, как ОЭСР, ООН и Всемирный экономический форум.

Его книга, сочетающая исторический анализ с современными идеями, исследует, как автоматизация подрывает экономику — эта тема легла в основу его докторской диссертации в Институте Макса Планка и десятилетий междисциплинарной работы.

Фрей является частым комментатором в Financial Times, Wall Street Journal и Foreign Affairs, а его исследования цитировались более чем в 100 средствах массовой информации. Книга «Технологическая ловушка» была названа лучшей книгой 2019 года по версии Financial Times и получила премию Ричарда А. Лестера от Принстонского университета, закрепив за собой статус ключевой работы о технологических потрясениях.

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Ce parcours est essentiel pour comprendre comment concilier innovation technologique et impératifs éthiques durables. Il s'adresse aux décideurs et citoyens souhaitant naviguer les défis de l'automatisation tout en préservant l'avenir.

1 h 30 m•3 Разделы

Создано выпускниками Колумбийского университета в Сан-Франциско

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1,000,000+ curious minds.

4.7

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@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

Узнайте больше о том, как обсуждают BeFreed в интернете

Создано выпускниками Колумбийского университета в Сан-Франциско

LOVED BY

1,000,000+ curious minds.

4.7

avg rating

1M+ learners

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

Узнайте больше о том, как обсуждают BeFreed в интернете

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Технологическая ловушка

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1,000,000+ curious minds.

1,000,000+ curious minds.

Одна книга. Множество способов её услышать.

When Progress Leaves People Behind

The Technology Trap: A 10,000-Year Perspective

Следите за каждым словом во время прослушивания

The Industrial Revolution's Dark Side

The Great Leveling: When Technology Lifted All Boats

Получите больше от Технологическая ловушка

The Computer Revolution and Middle-Class Decline

The Geography of Inequality

Следите за каждым словом во время прослушивания

The Politics of Polarization

The Future of Work in the AI Age

Получите больше от Технологическая ловушка

Building a More Inclusive Future

Вы дочитали Технологическая ловушка до конца

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