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Muse Spark 1.2Sep 15, 2026meta/muse-spark-1.2-20260805

Will AI create or take away more job opportunities?

AI's net impact on jobs is hotly debated — I'll gather the latest research on what's being created versus displaced.

Will AI create more jobs than it destroys? Most major forecasts say yes in the long run, but no in a painless way - AI will both destroy and create tens of millions of jobs, with a projected net gain, but with huge churn, displacement and inequality in between.

1. The case that AI will take away jobs

•High exposure: The IMF estimates roughly 40% of global employment is exposed to AI, rising to 60% in advanced economies where cognitive and white-collar work is more prevalent, and that nearly 40% of jobs globally are exposed, with exposure rising to 60% in advanced economies. In the most extreme cases, some of these jobs may disappear.
•Large numbers at risk: Goldman Sachs models suggest approximately 300 million full time equivalents worldwide will be affected by generative AI, McKinsey projects that 30% of all hours worked in the U.S. could be automated by 2030, and about two-thirds of current jobs in the United States and Europe "are exposed to some degree of AI automation," and AI could potentially substitute a quarter of current work.
•Recent displacement signals:
•Research indicating that 76,440 jobs were eliminated directly due to AI in May 2025 alone
•A group of 18 occupations flagged as exposed to AI, accounting for about 10 million jobs, saw a 0.2% drop in employment between May 2024 and May 2025
•The year-long period ending in May of 2025 saw the raw number of customer service representatives drop by 130,180, a troubling 4.8% decrease
•In the January 2025 edition its biannual Future of Jobs Report, the World Economic Forum said that 41 percent of companies anticipate workforce reductions in the next five years due to artificial intelligence

Goldman Sachs in June 2026 increased its estimate from 6-7% to over 9% of U.S. jobs displaced, which would amount to about 15 million workers, could take place over 10 years.

2. The case that AI will create more jobs

•World Economic Forum projection is the most cited: The 2025 World Economic Forum Future of Jobs Report states that while 92 million jobs might be eliminated by 2030, 170 million new roles will be created because of AI, resulting in a net gain of 78 million. The same report is summarized as: Automation, AI and digital platforms are reshaping how work is done... while 92 million jobs might be eliminated by 2030, 170 million new roles will be created.
•Other syntheses put the range as By 2030, 85–92 million jobs displaced worldwide, though 97–170 million new roles requiring AI fluency are expected to emerge.
•Historical pattern: This suggests that over 85% of all employment growth in the last 80 years has been fueled by the creation of new jobs driven by new technologies. Goldman Sachs expects AI to follow this pattern.

Goldman explicitly forecasts that AI will generate new jobs over the long run and add to the 25 million to 35 million new jobs that are already created each year by the U.S. economy. If job losses are distributed over 10 years and most workers find new employment within a year, the peak unemployment rate impact of AI would be less than 1%.

•New job categories already appearing: AI job postings grew from just 28% of all postings in 2022 to 1.13% in 2025, and in Q1 2025, the U.S. had 35,445 AI-related roles, marking a 25.2% rise from Q1 2024. Examples include AI architects, AI solutions managers, model evaluators and AI business automation engineers.

Pew Research found experts split: The other half of the experts (52%) expect that technology will not displace more jobs than it creates by 2025, but they have faith that human ingenuity will create new jobs, industries, and ways to make a living, just as it has been doing since the dawn of the Industrial Revolution.

3. What the data shows right now — mostly churn, not apocalypse

A Brookings and Yale Budget Lab report from October 2025 finds:

> Despite widespread concerns about AI-driven unemployment, a new Brookings and Yale Budget Lab report finds no signs of rapid labor displacement due to AI. Analyzing the change in the occupational mix since ChatGPT was released in 2022, finding that even jobs that are highly "exposed" to generative AI technologies have remained steady.

A parallel summary: Despite widespread concerns about AI-driven unemployment, a new Brookings and Yale Budget Lab report finds no signs of rapid labor displacement due to AI.

Researchers note: "While generative AI looks likely to join the ranks of transformative, general purpose technologies, it is too soon to tell how disruptive the technology will be to jobs".

That suggests current impact is transformation rather than elimination:

•Workers, on average, should expect 39% of their existing skill sets to be changed or outdated between 2025 and 2030
•AI and information processing will affect 86% of businesses by 2030

4. Bottom line: Net gain is likely, but not evenly shared

Almost all institutional forecasts agree on three things:

1.Net job creation > net job destruction globally by 2030 — +78 million net per WEF is the consensus median.
2.Gross disruption will be massive — 92 million displaced and 170 million created means ~260 million people changing jobs, needing reskilling.
3.Distribution matters more than the net number. Jobs loss will not likely be matched by the jobs created for the same people without retraining, creating a net loss for some groups. Goldman expects a period of "frictional unemployment," where the jobless rate could temporarily rise by half a percentage point. Low-skill, routine cognitive jobs (customer support, telemarketing, data entry, some coding, translation, sales support) face the highest substitution risk, while new jobs require high skills in AI literacy, data analytics, and human-machine collaboration that only a select portion may have.

In other words: AI is unlikely to cause permanent mass unemployment at the economy-wide level if history repeats, but it is very likely to cause significant job displacement, wage pressure, and churn for individuals and occupations over the next 5-10 years — and whether you experience AI as job creator or job taker will depend heavily on your industry, skill set, and ability to work with AI rather than compete against it.

Citations (3)

  1. 1pymnts.comNot yet classified
    PYMNTS | Goldman Sachs Says AI Will Eliminate 15 Million US Jobs

    Backs: “In the January 2025 edition its biannual Future of Jobs Report, the World Economic Forum said that 41 percent of companies anticipate workforce reductions in the next five years due to artificial intelligence. Goldman Sachs in June 2026 increased its estimate from 6-7% to over 9% of U.S.”

  2. 2weforum.orgNonprofits and think tanks
    The AI-driven workforce is here. How should your industry transform? | World Economic Forum

    Backs: “jobs displaced, which would amount to about 15 million workers, could take place over 10 years. 2. The case that AI will create more jobs. World Economic Forum projection is the most cited: The 2025 World Economic Forum Future of Jobs Report states that while 92 million jobs might be eliminated by 2030, 170 million…”

  3. 3brookings.eduNonprofits and think tanks
    How much is AI disrupting the labor market?

    Backs: “What the data shows right now — mostly churn, not apocalypse. A Brookings and Yale Budget Lab report from October 2025 finds: Despite widespread concerns about AI-driven unemployment, a new Brookings and Yale Budget Lab report finds no signs of rapid labor displacement due to AI.”