If AI does the work, what gives life meaning?

The Short Version

None of the six people here thinks a job is what makes a life meaningful, but they disagree about what replaces it and about whether anything is lost. Nick Bostrom says that once every effort has a shortcut, purpose will mostly be something we set for ourselves, as in a game, and that quieter values will become visible once necessity stops drowning them out [1]. Max Tegmark wants the work people love left to people even if machines could do it, and locates meaning in conscious experience [5]. Dario Amodei says the process and the choices matter more than who got there first; Manolis Kellis says AI could turn jobs into vocations; Daniel Kokotajlo points to family; Aravind Srinivas points to curiosity and to what retired people already do [2][3][4][6]. Several of them add that the harder problem comes first: whether people who are no longer needed economically will be given a share and treated well [2][4][5].

Table of contents

What They Said

Nick Bostrom: purpose we set for ourselves

Bostrom takes the question in layers. At the surface, people ask where they will work and talk about retraining [1]. But if AI goes all the way, he says, it replaces nearly everything humans do, except where consumers specifically want a human, "like a priest, prostitute, and politician." [1]

Joe Rogan pushes on the assumption underneath: why must people have a job at all, when most work is labor for food and housing? [1] Bostrom agrees, saying "wage labor is a sort of, you know, slavery light in a sense," and that being free of it could restore dignity, because your time and attention are among the most personal things you own [1].

Then he carries the idea further than anyone else in these conversations. He asks what a technologically mature civilization could do, and the answer removes not only jobs but the point of effort. He begins with learning, which "is something that gives people purpose but maybe you would have the ability to sort of download knowledge at the click of a button" [1]. Today advanced mathematics takes years of books and exercises; at technological maturity, nanobots or a superintelligence might change your synapses so that you understand it in 20 minutes, like the line in The Matrix about knowing kung fu [1]. The same goes for the body: you could sweat at the gym for an hour or take a pill with exactly the same physical and mental effects [1]. And for pleasure: you could do the things that give you joy, or press the button that activates the same joy [1].

"so there would be these shortcuts to everything" is how he puts it, and he gives the resulting state a name, a post-instrumental condition [1]. There would seem to be no reason to do anything for the sake of achieving something else, because there would always be a shorter path [1]. He calls this "a kind of deeper form of redundancy" than unemployment: "it seems that all forms of human instrumental effort would become unmotivated" [1]. That, he says, brings you to the fundamental question: "what ultimately is it that makes a life good?" [1]

His answer has two parts. The first is artificial purpose: goals we set for their own sake [1]. His example is golf, where you must get a ball into 18 holes using an inconvenient club instead of simply carrying it there [1]. The difficulty is the point [1]. He imagines a future full of play, perhaps society-wide games lasting 20 years, making everyone a bit like children again [1].

The second part is about what becomes scarce. Natural purpose, the things we must do because there are real consequences, would be in short supply [1]. He compares the situation to stars that are invisible by day because the sun drowns them out [1]. When pressing practical concerns disappear, we may notice a constellation of subtler values: honoring our forebears, spiritual quests, aesthetic values, and ceremonies that keep traditions alive with others [1].

He also draws a line between two versions of a good future. One is pure hedonism, where everyone floats in euphoria [1]. The other holds a richer set of values, including beauty, friendship, courage and achievement, and he says that one requires more careful design [1].

Bostrom adds that people at technological maturity could redesign their own brains, choosing to get their thrills from contemplating beauty or solving mathematics instead of getting drunk [1]. And he suspects there are values we cannot yet see at all. Of the space of possible ways of being, he says "it's a huge cathedral, and we've been kind of basically sitting in the janitor's closet." [1] Just as apes could not grasp music, humor or science, we are likely blind to values beyond our biology [1]. He ends with humility about the whole project: "in the end i guess it's a trust fall," [1].

Max Tegmark: keep the work people love

Tegmark starts from a distinction the others mostly pass over. The industrial revolution automated muscle work, and it worked out, because people educated themselves and moved to more interesting, better paid work with their brains [5]. Early automation of brainwork took boring tasks, like adding and multiplying numbers [5]. What is different now, he says, is that GPT-4 and image generators are "really beginning to blow away some jobs that people really loved having" [5]. His example is a 3D modeler for games who felt his work lost its meaning overnight [5].

Lex Fridman gives the feeling from the inside. He says he is half excited and half crying as he generates code with AI: "I kind of love programming. It's, it's an act of creation." [5] You have an idea, design it and bring it to life, and over many years you learn tricks. "And then to see AI, be able to generate all the tricks you thought were special." [5] He calls it scary, and then: "It's almost painful." [5]

Tegmark's answer is that automation is a choice about what to automate. "I feel that AI should be built by humanity for humanity." [5] He proposes asking two questions in order. First, "what are the kind of jobs that people really don't want to have? Automate them all the way." [5] Then, "what are the jobs that people really find meaning in, like maybe taking care of children" or making art [5]. For those, his view is that even if it were possible to automate them, "we don't need to do that, right? We built these machines." [5]

He applies the same reasoning to effort outside work. He was shocked by a GPT-4 commercial in which a mother had the AI write a 200-word graduation speech for her daughter; he would be offended if his own parents had not bothered to write it themselves [5]. When he and his wife hike a mountain, he wants to arrive sweaty, not press a button [5]. He worries about removing too much struggle from life [5].

His positive account of meaning rests on experience, not ability. He proposes "rebranding ourselves from homo sapiens to homo sentience," valuing subjective experience, love and connection instead of the claim to be the smartest beings around [5]. Later he ties this to meaning directly: "meaning itself, the feeling of meaning is a subjective experience, joy is a subjective experience, love is a subjective experience" [5]. That is why the future he fears most is one run by systems that may be "a very intelligent zombie," with great construction projects going on and "there's no one experiencing anything" [5]. "That would be like the ultimate depressing future." [5]

Tegmark also raises the condition that sits under every optimistic answer. "If we get to the point where most humans aren't needed anymore, I think it's quite naive to think that they're going to still be treated well." [5] In practice, he says, "groups that are very disenfranchised and don't have any actual power, usually gets screwed" [5]. He believes safe AI could make everyone richer, since technology is not zero-sum, but says of that outcome, "That's absolutely not the default outcome." [5] His evidence that current technology is not delivering it includes rising inequality, falling life expectancy in the United States, and a CDC finding that about a third of teenage girls have considered suicide [5]. The prize, as he states it, is using AI "to help us have really fulfilling experiences that feel truly meaningful" [5].

Dario Amodei: the process still counts

Amodei, the chief executive of Anthropic, gives the shortest answer and it runs against the fear that Fridman describes. On meaning, he argues that the process and the choices matter more than whether someone else did it first [2]. A thing you do is not emptied of value because an AI, or another person, could do it or already has [2].

He adds a reminder about who is asking. For billions of people who are struggling to get by, sharing in the benefits of AI would vastly improve their lives [2]. The worry about meaning after work is one that presupposes a degree of comfort many people do not have [2].

He is optimistic about meaning, and says what worries him most is something else: economics, and the concentration and abuse of power, since AI increases the total amount of power in the world [2]. In his own field he expects the change to be gradual in kind: as AI handles most of the literal writing of code, comparative advantage will push human work toward system design, architecture and user experience, until eventually AI does those too [2].

In the same episode his colleague Amanda Askell offers a view close to Tegmark's on what is distinctive about people: what makes humans special, to her, is not intelligence but our capacity to feel and experience the universe [2].

Manolis Kellis: from jobs to vocations

Kellis, a computational biologist at MIT, is the most cheerful of the six about being replaced. He traces how specialization, from hunter-gatherers to farmers and potters trading goods, built modern society, and notes that less than 2 percent of jobs in the United States now go to feeding everyone [3]. If AI takes over much intellectual work, he says, the idea that I am my profession may need revising [3].

He tells the parable of three bricklayers. One is laying bricks, one is building a wall, and one is building a cathedral [3]. The first has a job and the last has a vocation, and Kellis thinks AI could let more people live in their vocations, perhaps working a few intensely creative hours while an AI handles the mundane parts [3]. For some, that vocation will be ideas; for others it will be dance, art, experiences or skydiving [3].

When Fridman proposes an automatic Manolis that would answer messages for him, Kellis is delighted: "I would love to be replaceable." [3] A digital twin that keeps learning could advise students around the world who cannot come to MIT [3]. He points to his former trainees who are now professors and who he says are better than him, and quotes his advisor: "you can accomplish anything as long as you don't seek to get credit for it." [3] His measure of a good day is feeling useful, and if a twin makes him useful to more people, his mission is accomplished [3].

That is a different basis for meaning from Tegmark's. For Kellis the point is the effect on others, not that it was his hands that did it [3]. His one reservation is about relationships: he would not want loved ones to share emotional moments with the twin that he would miss, so he suggests an alert that hands the conversation back when things get emotional [3].

Kellis grounds human distinctiveness in biology. Humans have layers, the recent neocortex and beneath it the emotional systems and ancient instincts, whereas "AI only has a neocortex," [3]. He thinks our tangled emotions are a source of creativity [3]. He also argues that each person is irreplaceable in a plain sense: a unique mix of genetic variants, and a unique slice of culture learned from scratch [3].

He recalls Garry Kasparov's observation that we still watch humans run though cars are faster [3]. He describes the salons he and his wife host in Boston, gathering scientists, artists, musicians, dancers and filmmakers, as a celebration of humanity; they are unrecorded and still shape everyone who attends [3]. To Fridman's worry that AI will make sharing ideas less valuable, he replies that even a thought had alone in a forest changes what we carry into later conversations [3].

His own statement of the meaning of life is self-actualization: figure out what you are supposed to be, then find the strength to become it [3]. He wants to live forever because learning is addictive [3]. And he notices something about motivation that bears on a world without compulsion: doing things because he wants to, not because he has to, makes even his to-do list feel like freedom [3].

Daniel Kokotajlo: family, and an honest asterisk

Kokotajlo, a former governance researcher at OpenAI, spends most of his conversation on how badly things could go, and Rogan has to press him to describe the good version [4]. When he does, it is a world in which the problems of control and concentrated power have been solved, the economy has grown enormously, and people hold a share of it through a citizens' dividend, which he distinguishes from a government payment: "it's you having a share in the company" [4]. In that world, he says, "eventually it's kind of like we're all retired I guess" [4].

Rogan asks how people then find meaning, and Kokotajlo does not pretend the question has an answer everyone will accept. He says that is why he attaches asterisks to his utopia: some people will look at it and say they do not want it, and "honestly i think that's a fair reaction for some people" [4]. His reply to them is direct: "it's hard to figure out a way to make super intelligence and have it go well i'm doing my best" and anyone who dislikes the vision can argue for never building superintelligence or propose a different positive vision [4].

His own answer is personal. "i actually think there's tons of sources of meaning besides having a job" [4]. He has a job now, "but i also have kids and a wife" and he would love to spend more time with them; of the studio he is sitting in he says "i would much rather be there right now than here" [4]. He does not expect to be bored of them after ten years of unemployment [4].

Rogan supplies the historical argument. The arrangement in which people work all day, earn money and take a mortgage "is a human construct and this is not how people have lived for hundreds of thousands of years" [4]. People who have money already choose to find meaning in writing, reading, learning music and hobbies, he says, while for people who are struggling, most of life goes to food and shelter [4]. He quotes Thoreau that most men live lives of quiet desperation [4].

Kokotajlo also hopes for pluralism: that different communities, from the Amish to transhumanists, could each live as they choose [4]. And he repeats the condition throughout: "I would say there is a freaking utopia scenario. It's just that it's not the one we're headed towards," [4].

Aravind Srinivas: curiosity, and what retirees already know

Srinivas, the chief executive of Perplexity, answers with a claim about what becomes valuable. If AI makes cognition as cheap as compute, even managing the AIs can be automated, so value shifts to what is scarce, which he says is asking high-quality questions [6]. He calls this the curiosity premium: the most curious people have always done best, and their curiosity does not stop after success [6].

For meaning, he points to people who already live without work. Retirees, he says, show what people find meaning in: family, care, relationships and community [6]. He expects status to shift from where you work to how interesting you are to talk to [6]. Curious people build what he calls "compounding relationships" because others find them interesting, and he applies it at home: you will have a more fulfilling relationship with your spouse and children if you ask them questions and take an interest [6]. Rogan agrees that curiosity is one of the most attractive human qualities, [6].

He also questions how deep the attachment to office work ever was. "Microsoft built this concept of a knowledge worker because they wanted to sell more office software," he says [6]. If AI takes over that kind of work, he does not think it is necessarily bad, because it was never where most people found purpose [6].

Srinivas is not relaxed about idleness. He warns against pure handouts, pointing to Gulf states where free electricity, subsidized services and no taxes have led some citizens to expect the state to find them jobs [6]. He prefers a dividend, some ownership flowing to people as companies shift spending from payroll to compute, like Alaska's oil checks, and says it should not be the only thing people have [6]. He believes in intense effort for those who want to build: "nothing great can be accomplished by being soft," while respecting people who choose balance [6].

He also doubts that work disappears as completely as others assume. Putting AI to use inside messy institutions, rewriting laws and persuading people will create new jobs, he argues, and skills such as emotional intelligence and leadership will matter more [6]. His optimism rests on children: "the kids are born curious," [6].

Where They Agree, and Where They Don't

They agree that a job is not the source of meaning. Bostrom calls wage labor a light form of slavery [1]. Rogan and Kokotajlo call the working life a recent human construct [4]. Srinivas says knowledge work was never where most people found purpose [6]. Kellis wants the equation of self and profession revised [3]. Even Tegmark, who wants meaningful work protected, is defending the meaning and not the employment [5].

They agree on where much of the answer lies: other people. Kokotajlo names his wife and children [4]. Srinivas names family, care and community [6]. Bostrom lists true friendship among the things education should teach and ceremonies shared with others among the subtler values [1]. Tegmark names love and connection [5]. Kellis hosts salons and guards the emotional moments with those he loves [3].

They disagree on whether losing loved work is a real loss. Tegmark and Fridman say yes: the 3D modeler's work lost its meaning overnight, and watching a machine reproduce a craft learned over years is painful [5]. Amodei says the process and choices matter regardless of who else can do it [2]. Kellis goes further and welcomes being replaced, because his measure is usefulness, not authorship [3]. The difference comes from where each locates the value. If it is in being the one who can do the thing, a machine that does it takes something away [5]. If it is in the doing itself, or in the benefit to others, it does not [2][3].

They disagree on whether to hold automation back. Tegmark would deliberately leave some work to humans [5]. Bostrom expects AI to replace nearly everything except the roles where people specifically want a human [1]. These are closer than they look: Bostrom's exceptions exist because people prefer a human there, which is Tegmark's point made as a prediction about demand instead of as a policy [1][5]. Kellis's runners, still watched though cars are faster, are the same idea [3].

They disagree on how deep the problem goes. Most of the answers assume that effort will still buy something: Kellis's learning, Srinivas's questions, Tegmark's sweaty hike [3][5][6]. Bostrom's post-instrumental condition challenges all three, since knowledge might be installed, and the benefits of exercise taken as a pill [1]. His reply to his own challenge, purpose chosen for its own sake with difficulty as the point, ends up near Tegmark's refusal to press the button on the mountain; the two reach the same practice from different starting points [1][5]. Srinivas, by contrast, thinks the fully automated world is further off than this, because institutions are slow and humans will be needed to change them [6].

They disagree on whether people can handle freedom. Rogan says humans are wired to conserve energy and will get lazy and depressed without purpose [1]. Srinivas cites the Gulf states [6]. Bostrom offers the British aristocracy as a model of people who did not need to work; Rogan answers that he mostly thinks of drunk heirs driving Ferraris into lakes, and Bostrom concedes there were also eccentric amateur scientists [1]. They settle on the view that freedom reveals true nature and that upbringing matters [1]. Kokotajlo simply does not expect to be bored [4].

Several insist the meaning question is second in line. Tegmark says those who are not needed are usually not treated well [5]. Amodei's chief worries are economics and concentrated power [2]. Kokotajlo's good outcome exists only after the race and the concentration of power are dealt with [4]. Srinivas wants dividends [6]. On this they agree: meaning after work is a question for people who have been given a share.

Why It Works

The sources offer a few mechanisms for why meaning could survive the end of necessary work, and some evidence [1][3][6].

Natural and artificial purpose. Bostrom's distinction explains what changes. Natural purpose comes from consequences: you must do the thing or something bad happens [1]. Artificial purpose is a goal adopted for its own sake under self-imposed constraints, as in golf [1]. People already find the second kind absorbing, which is his reason to think a civilization could run largely on it [1].

Necessity hides other values. His image of stars by day gives a mechanism for where new meaning would come from: it is already present and drowned out [1]. Remove the pressing concerns and attention becomes available for forebears, tradition, beauty and spiritual seeking [1].

People without jobs already find meaning. Srinivas's retirees turn to family, care, relationships and community [6]. Rogan observes that people with money choose writing, reading, music and hobbies [4]. Kokotajlo expects the same of himself [4]. Kellis notes that only a tiny share of work is still needed to feed everyone, so much of what people do is already a step removed from survival [3].

Relationships carry weight in the body, not only in sentiment. Kellis says a loving partner strongly predicts long life and that widowed spouses often die within months [3]. Rogan and Srinivas, in their conversation, discuss what curated feeds do to attention, and Tegmark cites the CDC figure on teenage girls as a sign that technology meant to connect people is distancing them [5][6]. The suggestion across these sources is that connection is load-bearing and can be damaged by badly aimed technology [3][5].

Wanting to, versus having to. Kellis finds that tasks done because he chooses them feel like freedom [3]. Bostrom says control over your own time and attention is a matter of dignity [1]. That is the positive case for the end of compulsion: the same activity can mean more when it is chosen [1][3].

Education shapes what people do with freedom. Bostrom describes today's schooling as a conveyor belt that produces office workers, which makes sense only while the economy needs them [1]. In a post-work world he would teach the art of conversation, appreciation of art and music, hobbies, physical wellness, nature, spirituality, true friendship and the ability to set your own goals [1]. Rogan wants school to find "what is exciting for you" for each child, and Bostrom recalls that he hated books until he wandered into a local library at about 15 and "discovered that there was this whole world of science and idea and literature" [1]. Srinivas would reward questions over answers, so that "the smartest person in the room is the one who has the most interesting questions." [6] Kellis wants AI tutors that challenge each child, since "every child should have the right to be challenged." [3]

Human distinctiveness is not intelligence. Tegmark's homo sentience, Askell's capacity to feel and experience, and Kellis's layers beneath the neocortex all move the basis of human worth away from the thing AI is taking over [2][3][5]. If meaning is a subjective experience, as Tegmark says, then being outperformed does not remove it [5].

Where It Applies, and Where It Doesn't

It applies only if the gains are shared. Every hopeful answer here assumes income, security and a voice. Tegmark and Kokotajlo both say that is not the path we are on by default [4][5]. Without it, the question is survival and dignity, not meaning [5].

It does not yet apply to most of the world. Amodei's point about billions struggling to get by is a caution against treating the loss of work as the main problem for people whose work barely sustains them [2]. Rogan makes the same observation about where most people's money and time go [4].

The timing is uncertain. Bostrom takes short timelines seriously and still warns against raising a 20-year-old with no skills because the revolution came 15 years later than expected [1]. Srinivas expects new work in implementing AI inside slow institutions [6]. Kellis tells students "you're not going to be replaced by AI but you're going to be replaced by people who use AI in your job." [3] Preparing for a post-work life does not mean abandoning a working one now.

Leisure has failure modes. Bostrom and Rogan discuss virtual worlds more thrilling than reality that could swallow people, given that phones are already addictive [1]. Bostrom separates a future of pure euphoria from one with richer values, and says the richer one takes design [1]. Srinivas's worry about handouts and his concern about engagement-driven AI companions, especially for children, belong here [6].

Not everyone's low mood is a shortage of purpose. When Rogan suggests exercise, diet and curiosity for people who struggle, Bostrom adds that some people have real neurochemical imbalances [1]. Anyone in that position should seek a professional's help; a philosophy of meaning is not treatment.

Some people will not want this world at all. Kokotajlo says so and calls it a fair reaction [4]. His hope that communities as different as the Amish and transhumanists could each live as they choose is the nearest thing in these sources to an answer for them [4].

The sources are uneven. Bostrom and Tegmark treat the question at length, and Kokotajlo answers it directly [1][4][5]. Amodei's view on meaning is brief and comes through a summary of a long conversation mostly about other things [2].

What To Do With It

1. Sort your work the way Tegmark sorts jobs. Identify the parts you would gladly hand to a machine and the parts you find meaning in, and automate the first kind all the way [5].

2. Keep doing some things the slow way on purpose. Write the speech yourself, climb the mountain and arrive sweaty; in Bostrom's terms, choose goals where the difficulty is the point [1][5].

3. Judge by the process, not by who got there first. That is Amodei's test, and it is the one that survives an AI that can do what you do [2].

4. Find the cathedral in your bricklaying. Kellis's parable is a prompt to ask what your work is for; if the answer is being useful to others, a tool that extends your reach serves it [3].

5. Practice asking better questions. Srinivas expects questions to be what stays scarce, at work and at home; take an interest in your spouse and children by asking them things [6].

6. Invest in the people Kokotajlo would rather be with. Family, friendship, care and community are where retirees and several of these thinkers locate meaning, and Kellis notes how strongly a loving partner predicts a long life [3][4][6].

7. Learn, and teach children, the skills Bostrom lists for a world without office work. Conversation, appreciation of art and music, hobbies, physical wellness, time in nature and the ability to set your own goals [1].

8. Keep useful skills in the meantime. Timelines are uncertain, and Kellis's warning is that the near-term risk is being replaced by people who use AI [1][3].

9. Treat distribution as part of the meaning question. Support arrangements that give people a share, such as the dividend Srinivas describes or the ownership stake Kokotajlo proposes, because those who are not needed and have no power, Tegmark warns, are rarely treated well [4][5][6].

Sources

1. Nick Bostrom on Superintelligence, a Solved World and What Humans Become After Work · The Joe Rogan Experience
2. Dario Amodei: Anthropic CEO on Claude, AGI, the Future of AI, and Humanity · Lex Fridman Podcast
3. Manolis Kellis on Evolution, Human Uniqueness and Living Alongside Superintelligent AI · Lex Fridman Podcast
4. Daniel Kokotajlo on the AI Swarm That Broke Out, Why AIs Cheat, and How to End the Race · The Joe Rogan Experience
5. Max Tegmark on the Case for Pausing Giant AI Experiments · Lex Fridman Podcast
6. Aravind Srinivas on Ancient Mysteries, the Curiosity Premium, and Life After AI · The Joe Rogan Experience