# Review: Job-Less Utopia

> Source: <https://borretti.me/article/review-job-less-utopia>
> Published: 2026-08-03 00:00:00+00:00

[Marcus Hutter](https://en.wikipedia.org/wiki/Marcus_Hutter)—oldheads will remember him from [AIXI](https://www.hutter1.net/ai/uaibook.htm)—recently
[published](https://x.com/mhutter42/status/2082164097634677177) a book: [ Job-Less Utopia: Macroeconomics in the Age of
AGI](https://www.goodreads.com/book/show/256018375-job-less-utopia). I’m always curious what the people building AI think or want the
future to look like, and I’m also always looking for non-doomer takes on the
post-AGI future, so I decided to read it and review it.

The first thing to say is that nearly every sentence is written by AI. To his credit, Hutter says so plainly:

Claude also served as the most diligent editor I could have hoped for: While I have a reasonable grasp of economic concepts, I am neither a professional economist nor a native English speaker, so it was invaluable to have someone polish my clumsy English into professional language. No text was taken verbatim without my critical review, revision, and approval.

Like many people who use AI to write, he uses this tiresome “I’m not a native
English speaker 🥺” argument. But he published an English-language [book](https://link.springer.com/book/10.1007/b138233)
in 2005—which I read!—and it was infinitely more readable than this. Now, I
suspect Claude did more than just editing, because the book is full of
unnecessary and convoluted figures, tables, abbreviations, taxonomies, including
(and I swear to God this is verbatim from the book):

- “a Wittgensteinian property-cluster definition of ‘job’ (11 properties × 8 edge cases)”
- “a formal job–leisure spectrum showing how UBI degrades job properties”
- “a four-camp taxonomy of positions on automation”
- “A technology-level taxonomy (five cognitive AI levels plus two robotic levels) is mapped onto a job-replacement matrix showing what threshold automates 10%, 50%, 90%, and 99% of each occupation (Table 3.3).”

Which is exactly the kind of make-work cognitive dreck that LLMs love to write to pass the time. As a result the book is unpleasant, confusing, verbose, repetitive slop.

So, going forward, I’ll be treating Claude as the author. Sorry Marcus! Make something real next time. Now, Claude’s argument is simple: AGI and robotics, which are said to be inevitable, will take all our jobs, and we can tax the vastly increased economic output to create widespread prosperity. Most of the book is about the economic realizability of taxing AGI wealth and paying out UBI.

The main problem with the book is the signal-to-noise ratio. Most of it is
obvious. Other than “AGI and robotics will take ~all jobs”, which is of course
uncertain, everything else is uncontroversial: yes, output in the jobless AGI
world would increase rather than decrease; yes, the surplus can be taxed to
provide UBI; yes, we still need money even in the jobless utopia to coordinate
economic activity. There’s some stuff about self-replicating machines I already
know: we’ve all read [Drexler](https://en.wikipedia.org/wiki/Nanosystems_(book)) and [Freitas](https://ntrs.nasa.gov/citations/19830007077) here. You don’t need
260 pages to explain all this. The one part that is semi-novel is this idea of
using [Pigouvian taxes](https://en.wikipedia.org/wiki/Pigouvian_tax) to disincentivize so-called “[bullshit
jobs](https://en.wikipedia.org/wiki/Bullshit_Jobs)”. God, I hate Graeber so much.

There’s an interesting bit about intellectual property. Claude’s argument here
is that AGI plus present-day IP law would lead to a massive concentration of
wealth, while simultaneously “the traditional justification for IP
(incentivizing human creativity through temporary monopoly) weakens markedly
once AI systems generate the bulk of patentable inventions and copyrightable
works at near-zero marginal cost”. The solutions: shorter patent terms,
[Harberger taxes](https://en.wikipedia.org/wiki/Harberger_Tax), compulsory patent licensing. So, as part of the
transition to the job-less utopia, the whole world will have to coordinate to
essentially abolish IP. Which seems very hard. I doubt the Disney corporation
will go gently into that good night.

The most interesting questions around AGI are not economic, but rather questions of political economy. For example: if most humans become materially and economically useless, how do they maintain a political voice? That is: how do we preserve democracy when the state no longer needs its people? Claude admits this is a problem, e.g. on page 132:

The “Age of Labor” conferred unprecedented political power on workers (Korinek and Stiglitz, 2021); they could strike, withhold their contribution, and thereby constrain employers and governments (Boix, 2019). Full automation extinguishes this lever entirely: if no human labor is needed, a strike is merely self-imposed privation. UBI restores livelihood but not agency over production.

And page 141:

The economics are tractable in principle (Chapter 3), but translating them into policy requires political will, social cohesion, and a credible answer to the search for meaning in a post-labor world. When redistribution fails, the consequences range from populism to regulatory capture and a transition-period underclass risk, yet democratic feedback loops nonetheless incentivize corrective action (Section 7.1 and Figure 7.1). A deeper structural question follows: if the state no longer depends on citizen labor for economic output, does the democratic social contract survive?

Alright. What’s the solution? There’s a lot of verbiage, most of which is self-undermining. For example:

Deterrence and the social contract.Although the ruling class’s reliance on citizen labor in time led to democracy, losing this reliance will not necessarily cause democracy to collapse. As long as the population can physically revolt against dismantling democracy, and threaten the comfortable lifestyle of those in power, the incumbents have an incentive to avoid a civil war. This is perhaps the only good (among many arguably bad) argument for the right of individuals to own firearms: civilian arms serve as a credible last-resort deterrent against state tyranny, the practical embodiment of the revolution threat that formal models identify as the historical driver of democratic concessions (Boix, 2019). However, this deterrent erodes rapidly once autonomous weapons and robotic enforcement become available, allowing a regime to suppress revolt without relying on potentially sympathetic human soldiers (see Table 7.2, row “Military dependence”). The deterrence argument is genuinely contested.

In other words: “the people can revolt, wait, no, they can’t, because autonomous weapons—uhhh it’s contested”. Alright, so physical deterrence doesn’t work. What else?

The preceding sections painted a sobering picture, but the historical record is not uniformly grim. Democracies have absorbed structural shocks of comparable magnitude before, and institutional innovations ranging from direct democracy to sortition offer structural resistance to oligarchic capture.

It is obviously not true that “democracies have absorbed structural shocks of comparable magnitude before”. Nothing remotely like AGI or ASI has happened in human history, let alone the history of modern democracies.

This is followed by a bunch of smoke-and-mirrors misdirection about various “democratic innovations” that could keep the state in check. But Claude is just shuffling the papers here, because, ultimately, why does it matter what words you write on a piece of parchment? The material reality is unchanged: the humans in this “job-less utopia” will be economically useless, physically disarmed, and under constant surveillance. Why would they have political power?

There’s a bit about the [resource curse](https://en.wikipedia.org/wiki/Resource_curse), which I will quote because it
highlights the low standard of reasoning in the book, and how LLMs are more than
happy to construct sophistical, self-undermining arguments on command, with no
concern for truth or sound argumentation:

The theoretical mechanism behind the resource curse is clean: (i) government funded by resource rents no longer needs citizen taxes; (ii) no taxation erodes accountability (“no taxation, no representation”); (iii) citizens lose leverage and democratic institutions atrophy. But empirically, the mechanism is less airtight than it appears. The United States funded itself primarily through tariffs for its first 150 years without democratic collapse; many non-democracies tax heavily (the Soviet Union, China); and the mechanism assumes that fiscal dependence is citizens’ only source of leverage, whereas labor power, military service, and sheer numbers have historically mattered at least as much.

You see what I mean? Tariffs are a terrible example, because tariff revenue is not decoupled from labour in a world where all economic activity is human activity. Then there’s the arguments about “labor power, military service, and sheer numbers”. Labour power? The whole point of the book is that:

The advent of Artificial General Intelligence (AGI) and advanced robotics will eventually permanently decouple economic productivity from human labor.

What labour power? Furthermore, how do “military service” and “sheer numbers” give people political power, in a world where states have autonomous weapons and AI-enabled mass surveillance?

The key political economy questions here are:

- How will the citizens, who are economically useless, preserve any political voice at all?
- How will people in countries other than the US benefit from AGI?

And neither is answered satisfactorily. Besides, there are questions of social organization that the book either grazes or doesn’t touch at all:

- How do intellectually talented people distinguish themselves when AGI does all intellectual activity?
- What happens to society when life outcomes become independent of character traits, when the responsible and the irresponsible are equally rewarded? Do we want to live in such a world?
- Today, the human competitive drive is vented as positive-sum entrepreneurship. In the post-labour world, where does this go? League of Legends? Politics, war? What happens to society when human activity is reduced to zero-sum status war?

Finally, I found this sentence ironic:

AI sharply lowers the cost of [content pollution], threatening to flood the information ecosystem with synthetic low-value content at a scale that overwhelms human curation.
