We have been arguing about the wrong apocalypse. Killer robots, job displacement, AGI disposing of humanity: these are real concerns, but they have been drowning out something quieter and more total. Not the question of whether AI will take your job, but whether it will take the story you tell yourself about why your job matters. Why any of it matters. Why you get out of bed when it is raining and nothing is on fire.

I have spent the past two years building AI products. Over twenty of them, shipped and live, none involving a single line of hand-written code. Some of those projects felt like the most alive I had been at work in fifteen years. Others felt completely hollow. Same tools, same stack, roughly the same effort. For a long time I could not explain the gap. Then I read Sam Lessin's essay on meaning and AI, and it gave me a framework for something I had been feeling but could not name. I turned it into a 20-slide talk. This post is the argument in prose.

Meaning is structural

Lessin's starting point is blunt. Meaning is not a luxury you layer on top of a comfortable life. It is, as he writes, "the critical input" and "the cost of our greatest gift: imagination." Because we can imagine futures, we cannot function without a reason to inhabit one. This is not philosophy. It is engineering. Every civilisation has needed a mass-produced purpose system to keep billions of people getting through the day.

Religion was the first great meaning technology: your life will be brutal, but it has weight beyond the grave. Industrial modernity offered an upgrade: suffer now and your children will be better off, or work hard enough and you will see the improvement yourself. Both were operating systems for sacrifice, duty, and collective hope. Both scaled to billions. And the second one, the industrial ladder, was already cracking long before AI showed up.

The cracks appeared decades ago. Being strong and willing to work stopped being a reliable path. The internet collapsed local status systems; the town poet, the neighbourhood basketball star, the car dealer who drove the Cadillac all became visible against a planetary comparison set. Social media made acts of creation people were proud of look small. The ladder was wobbling. AI is about to kick it over.

Two stories, both catastrophic

AI gives you one of two narratives about the future, and neither offers a reason to strive.

The optimist version promises abundance without effort. AI does the work; you receive the fruits. The problem, as Lessin argues, is that "don't die" is not a purpose. It offers no narrative of growth, no structure for a Tuesday morning, no reason to push through difficulty. At best you get very comfortable boredom. A better world to passively consume, with meaning reduced to watching life as television.

The pessimist version is bleaker. The ladder is simply gone. Human labour is finally, fully devalued. Education no longer guarantees entry. The knowledge worker follows the factory worker into irrelevance. When the mechanism for upward movement disappears, it is not merely inequality. It is the end of the story people were living inside.

And the counter-arguments do not hold. "AI unlocks unlimited creation" sounds compelling until you try it. Creation is only meaningful when it is uniquely yours. The novelty of generating a poem or an image in a prompt box lasts approximately two nanoseconds. Lessin puts it plainly: prompting tools alongside everyone else generates no meaning. It misses entirely what creative meaning actually is. Pleasure habituates just as fast. Material abundance, once you are fed and housed, does not solve the purpose problem.

People can survive unfairness. They struggle much more to survive the feeling that their striving is irrelevant.

Superfluity is the threat

What AI is really breaking is the effort-to-value link: the psychological connection between what you put in and what you get back. Lessin argues this is more damaging than inequality itself. People can tolerate unfairness. They cannot tolerate the feeling that nothing they do matters.

This leads to what I think is the most important idea in his essay. A society full of people who feel unnecessary is more dangerous than one full of people who are merely poor. The central policy question of the AI era may not be redistribution at all. It may be re-legitimation: finding ways to make people feel that their participation counts for something.

Material life improves while subjective purpose decays. Abundance and meaning move in opposite directions. We have no historical precedent for navigating this. It may be the deepest civilisational novelty of the AI era.

What comes next

Lessin maps four routes people will take. Religious revival, offering narratives cheap enough to scale back to billions. Micro-cults, ever smaller communities of intentional purpose. Billionaire grail projects like Mars and Artemis that galvanise a devoted few. And dignity in suffering, Frankl's answer, meaning found in private struggle. All four have real merit. None scale easily to most people.

But there is a fifth thread running through all of this that I keep returning to. When intelligence and production cost almost nothing, what becomes scarce is not output. It is trust, belonging, and costly commitment. Things that are hard to fake precisely because they required something of you. Institutions that feel demanding and real. Communities that ask for genuine investment. Work where the outcome is uncertain and the stakes are personal.

The real scarcity in an AI world may become trust, belonging, and costly commitment.

The builder's answer

I called 500 London restaurants with an AI voice agent. Most hung up. Some were confused. A few were rude. One chef described his specials for four minutes to a robot that could not eat any of them. The success rate was 15%. I kept going, not because the numbers were good, but because the problem was genuinely mine and the outcome was genuinely uncertain. That is what separated it from the hollow projects. Not effort, but stakes.

The effort-to-value link is still intact when the idea is yours and the result is unknown. That is the condition AI cannot collapse yet. And building, real building from obsession rather than obligation, is how you stay inside it. The self-directed, the obsessed, the people with a genuine problem and a willingness to struggle: Lessin says they will be "full of life" in the AI era. Not people using AI to avoid effort, but people using it as a tool for effort they were already committed to.

A paradise for the self-directed few can coexist with a meaning recession for the many. That coexistence is not a comfortable thought. But it clarifies the choice. You protect the link by building things where the stakes are real, the outcome is uncertain, and no prompt can substitute for your judgement about what matters. Everything else is generating outputs into a void.

In a world where everything can be generated, the things that require your genuine struggle are the last available source of meaning.