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AI and jobs

Also called will AI take my job, AI job loss, automation and jobs

AI can now do some tasks inside many jobs. Whether that mostly changes jobs or removes them is one of the big open questions of our time.

Safety and societyEveryday

Products, laws and numbers here change fast. Checked October 2026.

In plain words

Most jobs are a bundle of tasks. A clerk enters data, answers questions, checks documents and deals with people. AI is getting good at some of those tasks, such as drafting, summarising and sorting, and still poor at others.

So economists talk about jobs being "exposed" to AI: some of their tasks could be done or sped up by it. Exposed does not mean the job disappears. The work might change, shrink, grow or move to other people.

Estimates differ a lot. The International Labour Organization says about one in four workers worldwide are in jobs with some exposure to generative AI. The IMF says almost 40%. Data from the US so far shows little change across the whole economy, but early signs of fewer jobs for young people in the most exposed kinds of work. Nobody knows how this ends, and we will not pretend to.

Everyday example

The office that gets a drafting tool

A busy office gets an AI tool that drafts letters and fills in forms. The clerk who spent mornings typing now spends them checking drafts and handling tricky cases. Next, the office might need fewer clerks, or take on more work with the same team, or hire someone new to run the tool. Which happens depends on the business, not just the tool. Multiply that by millions of offices and you see why estimates vary.

Where the example breaks: In one office you can watch the change happen. Across a whole economy, millions of changes pull in different directions and new kinds of work appear that nobody predicted, so the total is very hard to forecast.

Go deeper

How it actually works

Here is what the main studies say, each with its date. These are estimates and surveys, not facts about the future.

  1. Exposure: how many jobs AI touches

    ILO, May 2025: one in four workers worldwide are in jobs with some generative AI exposure, but only 3.3% in the most exposed group. Clerical work is most exposed. Exposure is 34% of jobs in high-income countries and 11% in low-income ones, and women are more often in the most exposed jobs. The ILO expects most jobs to be transformed rather than replaced.

  2. Exposure can help or hurt

    IMF, January 2024: almost 40% of jobs worldwide are exposed, about 60% in advanced economies, 40% in emerging markets and 26% in low-income countries. In advanced economies, roughly half of exposed jobs may gain from AI and half may see lower demand.

  3. Employer forecasts

    World Economic Forum, January 2025, surveying over 1,000 employers: between 2025 and 2030, 170 million jobs created and 92 million displaced, a net gain of 78 million. That covers all causes, not just AI. AI and data specialists are among the fastest growing roles; bank tellers and data entry clerks among the fastest shrinking.

  4. India

    NITI Aayog, October 2025: India's tech and customer service sectors, with over 9 million workers, could lose about 1.5 million jobs or create up to 4 million new ones by 2031, depending on the choices made now, above all on reskilling. The report notes about 400 million Indians work in the informal sector with little access to formal training.

  5. What the data shows so far

    Yale Budget Lab, with a Brookings co-author, October 2025: in US data, no sign yet that AI exposure is linked to job changes across the economy. Stanford researchers, August 2025: workers aged 22 to 25 in the most AI-exposed jobs saw a 13% relative fall in employment, while older workers in the same jobs held steady.

Exposed worldwide
About 25% of workers (ILO, May 2025) to almost 40% of jobs (IMF, January 2024), depending on method
Employer forecast
170 million jobs created, 92 million displaced, 2025 to 2030, all causes (WEF Future of Jobs, January 2025)
Skills changing
Employers expect 39% of workers' existing skills to be transformed or outdated by 2030 (WEF, January 2025)
History
In the US, about three fifths of jobs in 2018 were in kinds of work that did not exist in 1940 (Autor and colleagues)

As of October 2026, the evidence is early and mostly from the US. We will update this page as better data arrives.

Will AI cause mass job losses?

One view

This time could be different

AI can do many kinds of thinking work at once, not one narrow task. Early US data already shows lower employment for young workers in the most exposed jobs, and the IMF warns that half of exposed jobs in rich countries may see lower demand.

The other view

Jobs will mostly change, not vanish

Past technologies destroyed some jobs but created more new kinds of work. The ILO expects transformation more than replacement, employers in the WEF survey expect a net gain, and US data has not shown economy-wide disruption.

Most likely: As of October 2026, there is little sign of economy-wide job loss, with early warning signs for entry-level work in exposed jobs. The long-run outcome is genuinely unknown and depends on how fast AI improves and how societies respond.

Questions people ask

Will AI take my job?

Probably not the whole job soon, but it may change parts of it. Studies look at tasks: the ILO finds clerical tasks such as data entry most exposed. Employers in the WEF survey expect 39% of existing skills to change by 2030, so keeping your skills current matters whatever happens.

Which jobs are most at risk from AI?

Studies agree that clerical work is most exposed, such as data entry and typing. The ILO also finds rising exposure in some highly digital professional and technical jobs. Employers in the WEF survey expect bank tellers and data entry clerks to shrink fastest. Exposure means AI can do some tasks, not that the job will disappear.

Which jobs are safe from AI?

No job is guaranteed safe, and no study we trust gives a list of safe jobs. The ILO finds exposure is highest in clerical and highly digital work, and much lower in low-income countries: 11% of jobs, against 34% in high-income ones. Even in exposed jobs, the ILO expects most work to be transformed rather than replaced.

How will AI affect jobs in India?

India has a large IT and customer service workforce, among the most exposed. NITI Aayog's October 2025 report says these sectors could lose about 1.5 million jobs or create up to 4 million by 2031, depending on reskilling. Effects on India's large informal workforce are less studied.

Is AI already causing layoffs?

Economy-wide US data up to early 2026 shows no clear link between AI exposure and job losses. Researchers have found early signs of fewer young people being hired into the most exposed jobs. Some economists, such as the Yale Budget Lab's Martha Gimbel, warn that firms may blame AI for cuts made for other reasons.

Further reading

Prepared by Mundhra Labs. Reviewed by Aditya Mundhra. Checked October 2026.