Published 2026-05-23
Tags: #book-notes
Because of technological progress, we are seeing a trend where we will likely have less and less work available for humans. Within this trend, there are problems of inequality of wealth, unregulated power of big tech, and loss of meaning. The proposed solutions are to have the big state intervene - through providing conditional basic income, regulating the political power of big tech (not just economic power), and providing meaningful unpaid work to society.
Three new problems. The economic problem that haunted our ancestors , that of making the economic pie large enough for everyone to live on , will fade away , and three new problems will emerge to take its place .
The pattern: increasing inequality. the United States , for example , from 1981 to 2017 , the income share of the top 0.1 percent increased more than three and a half times from its already disproportionately high level , and the share of the top 0.01 percent rose more than fivefold .
Status division on top of economic. What is emerging is not just an economic division , where some earn much more than others , but a status division as well , between those who are rich and those who serve them .
Orwell pulled no punches. As George Orwell warmly put it , they are “an entirely functionless class , living on money that was invested they hardly knew where … simply parasites , less useful to society than his fleas are to a dog .”
Today we share through work. How should we share our society’s economic prosperity ? Today , as we have seen , a large part of our answer to that question is “through work .” … Properly responding to technological unemployment , then , means finding new answers to the question of how we share out our prosperity , ones that do not rely on jobs and the labor market at all .
Proposed solution: Big State. In calling for a Big State , however , I mean something different : not using the state to make the pie bigger , as the planners tried and failed to do , but rather to make sure that everyone gets a slice . Put another way , the role for the Big State is not in production but in distribution .
Broader defn of politics. But politics , properly understood , is much bigger than that . It is about how we live together in society.
Tech shapes liberty, democracy. In the future , Big Tech will be ever more politically powerful in this broader sense . As described in Future Politics , these companies will set the limits of liberty — think of a driverless car that cannot go above a certain speed , for example . They will shape the future of democracy — think of an electorate reared on political facts curated to their personal tastes and served up by algorithms . And they will determine questions of social justice — think of someone who finds their request for a financial loan or health treatment turned down on the basis of personal data they never agreed to give away
Proposed solution: Need new regulator. Instead of nationalization , then , what is needed is a new regulatory institution — set up in the spirit of competition authorities that regulate the economic power of these large companies , but tasked with constraining their political power instead .
Distinct from antitrust. Importantly , this new authority must be distinct from our traditional competition authorities . This problem is a political one , not an economic one , and the economists who tend to populate our existing agencies are not the right people to grapple with this challenge . The conceptual tools they deploy to think about prices and profits , however insightful and effective they may be , tell us nothing at all about ideas like liberty , democracy , and social justice , and whether they are under threat .
Find meaning elsewhere. In a world with less work , we will face a problem that has little to do with economics at all : how to find meaning in life when a major source of it disappears .
What work provides
Proposed solution: state to provide non-economic work
Beware of false argument - increased demand for what? Growing demand for goods may mean not more demand for the work of human beings , but merely more demand for machines . We can already catch a glimpse of this phenomenon at work . Take the UK agricultural sector , for example . This part of the British economic pie has grown dramatically over the last century and a half , yet that has not created more work for people to do in it .
Some tasks remain. It is indeed entirely plausible that some tasks will remain for us : those that prove impossible to automate , others that are possible but unprofitable to automate , and still others that are both possible and profitable to automate but remain restricted to human beings due to regulatory or cultural barriers that societies build around them . There are also tasks that might remain out of reach because we value the very fact that they are done by human beings , not a machine .
Humans doing it matters. why , in 2018 , millions of people went online to watch Magnus Carlsen … but spectators valued not only the particular movement of the chess pieces but the fact that they were being moved by human beings .
We value the process. It also explains why diners in a fine restaurant might feel shortchanged if they discover that their coffee was made by a capsule - based machine rather than by a highly trained barista , even though capsule - based coffee is often preferred in blind tests : people value not only the taste , but the fact that a person brewed the coffee for them . 27 Throughout life , we can point to certain tasks — crafting furniture , tailoring a suit , preparing a meal , caring for one another in old age and ill health — where we value the process behind them , and in particular the fact that they are done by human beings , rather than just the outcome that is achieved .
Education can’t fix demand. education will also struggle to solve the problem of structural technological unemployment . If there is not enough demand for the work that people are training to do , a world - class education will be of little help .
Ex of how skills shift: Calculators. The challenge here is not new : decades ago , basic calculators shifted the emphasis of much mathematical instruction away from brute - force calculation to mathematical reasoning and problem solving . ( British students , for instance , take specific exams where calculator use is required and questions are tailored accordingly . )
Stop teaching dying tasks. do not prepare people for tasks that we know machines can already do better , or activities that we can reasonably predict will be done better by machines very soon .
Skills aren’t always attainable. this is the first limit to education : for many people , certain skills simply may not be attainable .
Human skill plateaus. As noted before , we are already reaching the point where workers’ skill levels are plateauing . There are some limits on how effective education can be in making human beings more productive .
Machines have no ceiling. What’s more , no comparable limit appears to exist in how productive machines could be in the future .