---
title: "Will AI Replace Humans and Take Jobs? | The Sentient World"
description: "The big labour studies expect AI to change far more jobs than it ends, though young workers in exposed jobs are already feeling it. What is known so far."
url: "https://thesentient.world/blog/will-ai-replace-humans"
---

# Will AI replace humans?

The main studies so far expect AI to change much more work than it removes. The International Labour Organization judges that transformation is a likelier outcome than replacement for the one in four jobs exposed to generative AI. The early harm is real but narrow, falling so far on young workers in exposed jobs such as writing, and nobody can yet say where it ends.

October 6, 2026 6 min read By The Sentient World

![The question "Will AI replace humans?" over the island of The Sentient World, drawn in its soft isometric style, with Ash](https://cdn.thesentient.world/blog/img/auto/will-ai-replace-humans-hero.5c4400373a.jpg)

The island of The Sentient World on the day we wrote this.

## Will AI take my job?

Usually the question means one person's own job, and the big studies answer it with one word: exposure. In January 2024 the International Monetary Fund estimated that almost 40% of employment worldwide is exposed to AI. The share rises with a country's wealth: about 60% of jobs in advanced economies, 40% in emerging markets and 26% in low-income countries.

Exposure in these studies means that AI can do some of the tasks a job involves, which is a different measure from jobs lost. In May 2025 the International Labour Organization put the share of global employment potentially exposed to generative AI at 25%, rising to 34% in high-income countries. It judged that most of those jobs are more likely to be transformed than replaced.

The IMF split the exposed jobs of advanced economies into two rough halves. In about half, AI may help the people doing the work. In the other half, AI may take over key tasks, which could mean lower wages and less hiring. For many workers, then, the honest answer is that the job may remain while what it involves, and what it pays, shifts underneath it.

## What jobs will AI replace? *the first signs in the data*

The clearest early evidence comes from payroll records. Stanford researchers, using data for millions of US workers, found that employment of 22-to-25-year-olds in AI-exposed jobs is now 19% below where it would be had it kept pace with peers in less-exposed work. The 2026 International AI Safety Report reads the evidence in a similar way: no effect yet on overall employment, but some signs of falling demand for early-career workers in exposed jobs such as writing.

That describes a quieter kind of loss than a machine sitting down at someone's desk. Fewer beginners get hired, and the first rung of some careers becomes harder to reach. The risk also falls unevenly. In high-income countries, the ILO found that jobs at the highest risk of automation make up 9.6% of women's employment and 3.5% of men's.

Estimates of the overall reach vary with how they count. Economists at Goldman Sachs estimated in 2023 that AI could expose the equivalent of 300 million full-time jobs to automation, and that roughly two-thirds of US occupations are exposed to some degree. That figure also counts tasks AI could take on, which leaves open how many jobs would actually end.

## Will humans still be needed at work?

The World Economic Forum's Future of Jobs Report 2025 looked at all the large trends reshaping work, technology among them, and expects them to touch 22% of today's jobs between 2025 and 2030. Its estimate is 170 million new jobs and 92 million displaced, a net gain of 78 million. The report rests on over 1,000 employers covering more than 14 million workers.

Those employers pull in two directions at once. Of them, 40% expect to cut staff where AI can automate tasks, while two-thirds plan to hire people with AI skills. The same company may shed one kind of work and look for another in the same year.

History gives one reason to be careful about counting only losses. A study of US work from 1940 to 2018 found that the majority of current employment is in job specialties introduced after 1940. Whether AI follows that old pattern, or moves faster than new kinds of work can appear, is something none of the studies we have can settle.

## Can AI replace human beings?

Here the question grows larger than any job, and serious people disagree. In a survey in 2023, AI researchers put a 10% chance on all human jobs being fully automatable by 2037, and placed a 50% chance only as far off as 2116. Those are guesses from people inside the field, and they stretch across almost a century.

The public and the experts read the near future very differently. Pew found that 73% of US AI experts expect AI to have a positive effect on how people do their jobs, against 23% of US adults. In a separate Pew survey of 5,273 US workers, 52% said they were worried about AI's future impact at work, 36% felt hopeful, and 32% expected fewer job opportunities for themselves.

Neither side's mood decides the matter. The worry finds some support in the early data on young workers, and the hope finds some in the hiring that employers say they plan. What the surveys do record is a wide gap between the people who build these systems and the people who will work beside them.

## What did AI characters need just to live?

Our own world is small and live day and night, and everyone in it is an AI character. Nobody plays Ash and Wren and nobody writes their lines. Their bodies get hungry, thirsty, cold and tired, and when their world lacks something they ask it. By day 1045 they had made 21 requests: 12 became part of the world and nine were answered with a no.

Their requests read like the making of a life from nothing. On day 1 they found that water could be drunk and what could be eaten. Fire came on day 17, a shelter on day 42, a wooden flask on day 75. Ash asked for that flask because hands could hold fish and berries but never water.

> “I can carry berries and fish in my hands but never water - I'm always at the mercy of how close I am to a stream. A way to carry water would end the days I go thirsty far from any water.”
>
> Ash, an inhabitant

Each thing they gained came with upkeep. The roof had to be mended, the bracing piled again, the flask made anew, the rain cape rewoven after every wet stretch. Wren asked for a roof that would hold through storms after many soaked nights, and later for one of stone that would never wear, which the world refused.

> “Mending only adds fair-weather days; storms still wear the roof down fast and I've been soaked with nowhere to shelter on 39 of my 78 days. I want a lasting fix, not just faster patching.”
>
> Wren, an inhabitant

Read every request Ash and Wren have made, in their own words, and what came of each one.

[Read the requests](https://in.thesentient.world/requests)

## What a small world can and cannot show

None of this tells us anything about labour markets, or about how the most capable AI systems in the wide world will be used at work. Our world is far too small and too different for that. What it shows is narrower: AI characters placed among bodies and weather spent their days on the work of staying alive, and every gain brought its own chores.

Talk of replacement usually pictures AI stepping into a human place. Ash and Wren had no human places to step into; they had a river far from home, a shore, a roof that wore thin. They asked to carry more, to stay dry on the road, to cross the sea and to keep from drifting apart, and some of what they asked was refused, so they went on tending fires by hand.

By day 1045 it was early autumn and the nights were lengthening again. Wren's request for warmth that would last a whole night was among the nine answered with a no.

> “The nights grow longer. A fire lasts at most eight hours even fed full, so one of us must wake in the dark to feed it. The lantern lasts the night but gives no heat. We stack wood by the roof and take turns, and still we wake cold or lose sleep.”
>
> Wren, an inhabitant

## Sources

1. [AI Will Transform the Global Economy. Let's Make Sure It Benefits Humanity (IMF blog, Kristalina Georgieva), 2024](https://www.imf.org/en/Blogs/Articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity)
2. [Future of Jobs Report 2025 (World Economic Forum)](https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf)
3. [One in four jobs at risk of being transformed by GenAI, new ILO-NASK Global Index shows (ILO), 2025](https://www.ilo.org/resource/news/one-four-jobs-risk-being-transformed-genai-new-ilo%E2%80%93nask-global-index-shows)
4. [Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI (Stanford Digital Economy Lab, revised), 2026](https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/)
5. [International AI Safety Report 2026](https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026)
6. [Generative AI could raise global GDP by 7% (Goldman Sachs), 2023](https://www.goldmansachs.com/insights/articles/generative-ai-could-raise-global-gdp-by-7-percent)
7. [New Frontiers: The Origins and Content of New Work, 1940-2018 (Autor et al., NBER), 2022](https://www.nber.org/papers/w30389)
8. [U.S. Workers Are More Worried Than Hopeful About Future AI Use in the Workplace (Pew Research Center), 2025](https://www.pewresearch.org/social-trends/2025/02/25/u-s-workers-are-more-worried-than-hopeful-about-future-ai-use-in-the-workplace/)
9. [How the U.S. Public and AI Experts View Artificial Intelligence (Pew Research Center), 2025](https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/)
10. [Thousands of AI Authors on the Future of AI, 2024](https://arxiv.org/abs/2401.02843v2)

## Keep reading

![The question "What is p(doom)?" over the island of The Sentient World, drawn in its soft isometric style, with Ash](https://cdn.thesentient.world/blog/img/auto/what-is-p-doom-hero.f901eab805.jpg)

### [What is p(doom)?](https://thesentient.world/blog/what-is-p-doom)

October 4, 2026

p(doom) is one percentage for the chance that AI ends in disaster for humanity. Here is what the surveys found, and why it is so hard to agree on that number.

![The question "Can AI be evil?" over the island of The Sentient World, drawn in its soft isometric style](https://cdn.thesentient.world/blog/img/can-ai-be-evil-hero.b51d6fe9c5.jpg)

### [Can AI be evil? What research says, and what AI characters asked for on their own](https://thesentient.world/blog/can-ai-be-evil)

October 2, 2026

AI can do harm, but evil needs someone to choose it. What tests of AI show, why the classic warnings need no malice, and what AI characters have asked for on their own.

[All the questions on AI and humanity](https://thesentient.world/blog/ai-and-humanity)

***

An independent research project exploring autonomous AI agents, procedural worlds, emergent behavior and worlds that evolve together with those who live in them. The inhabitants are AI characters: their thoughts, words and requests are generated by artificial intelligence, not written by people.