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Muse Spark 1.2Sep 22, 2026meta/muse-spark-1.2-20260805

Will AI create or take away more job opportunities?

Your question touches an active debate — I'll gather the latest research on AI's job creation and displacement.

The short answer from most major forecasters is: AI will take away many jobs, but create more - resulting in a net gain - but the gains and losses will not be felt evenly, and the transition will be disruptive.

1. The consensus forecast: Net creation

The most cited global projection comes from the World Economic Forum's Future of Jobs Report 2025:

> while 92 million traditional roles may be displaced, nearly 170 million new positions will be created, resulting in a net gain of 78 million jobs globally
> 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
> Overall, 170 million new jobs are projected to be created and 92 million displaced by 2030, resulting in a net increase of 78 million jobs globally (WEF Future of Jobs Report 2025)

This is described as the broader consensus among economic forecasters that AI will act as a net creator of jobs over the next decade, driven by demand for AI literacy, system architecture, and management of automated workflows.

An earlier WEF framework for the 2020-2025 period made a similar but smaller calculation: AI and automation could displace 85 million jobs by 2025, but also create 97 million new positions, for a net positive of 12 million.

Other institutions frame the magnitude differently, but point to the same create-vs-displace paradox:

•Goldman Sachs estimates that two-thirds of US occupations are exposed to some degree of AI, and that 25% of all work tasks are automatable. Their analysis projects that 7% of US jobs could be fully replaced, 63% could be complemented, and 30% would remain unaffected, but a 2025 update found only 2.5% of US employment at current adoption levels would be at risk.
•Goldman Sachs also projects AI could jeopardize 300 million jobs globally due to automation.
•The IMF projects the technology will affect 40% of jobs in emerging markets and just 26% in low-income countries, with about 40% of global employment exposed overall and 60% in high-income countries.
•McKinsey Global Institute scenarios range from near-zero to 14% of employees globally needing to change careers due to AI and digitization by 2030, and that current technologies could theoretically automate about 57% of U.S. work hours, but this reflects technical potential rather than inevitable loss.

2. Why AI will take away jobs

•Task automation: 41 percent of companies anticipate workforce reductions in the next five years due to artificial intelligence, and separately 41% of employers worldwide plan to reduce their workforce over the next five years with AI automating tasks.
•Concentration in certain roles: While traditional administrative and clerical roles are seeing significant reductions due to automation, high-skilled sectors such as science, engineering, healthcare, and IT continue to expand in most developed nations.
•Vulnerable demographics: If just 10% of current jobs disappear entirely due to AI, approximately 5.6 million young workers, primarily in high-income countries, could face unemployment. Workers aged 22-25 in AI-exposed occupations experienced a 13% decline in employment from late 2022 to mid-2025. The UN labour agency also warns that nearly nine in ten young workers in low- and lower-middle-income countries remain in informal employment, making them highly vulnerable.

However, measured displacement so far is much smaller than projections imply:

•Only ~55,000 jobs were linked to AI-related cuts through 2025
•Challenger, Gray & Christmas tracked approximately 12,700 jobs directly attributed to AI in 2024
•In 2025, nearly 55,000 U.S. job cuts were directly attributed to AI, but AI was cited in only around 4.5% of all job losses

3. Why AI will create jobs

•New roles: AI and data processing are expected to create 11 million new roles by 2030, while displacing 9 million - a net gain of 2 million in that category alone. Fastest-growing jobs include big data specialists, fintech engineers, AI engineers, and machine learning specialists.
•Higher demand and wages: Jobs requiring AI skills grew 3.5 times faster than general postings, and workers with AI skills earn an average wage premium of 56%. In Q1 2025, there were 35,445 AI-related positions across the U.S. - a 25.2% increase year-over-year.
•Transformation, not just elimination: 86% of employers expect AI and information processing technologies to transform their business by 2030, and 77% report plans to reskill and upskill existing workers to work alongside AI. Companies report productivity gains of 10-25% in knowledge work and nearly 2.7% US productivity growth in 2025.

Gartner's 2025 analysis summarized this as: there will be no "jobs apocalypse" due to AI — but there will be job chaos, and starting in 2028-2029, AI will create more jobs than it eliminates, yet over 32 million jobs will be significantly transformed each year.

4. So, create or take away?

•In aggregate numbers: Forecasts point to net creation (+78 million by 2030 according to WEF).
•In distribution: They are not the same people. The new jobs require different skills, locations, and education than the lost ones.
•In timing: Displacement can be immediate and painful, while creation and reskilling take years. 39% of workers' existing skill sets are expected to be transformed or become outdated between 2025 and 2030, and 63% of employers cite skills gaps as the primary barrier to transformation, even though 85% of employers plan to prioritize upskilling.
•In perception: The public is more pessimistic than the models. Pew's 2026 global survey reveals that the public expects AI to be a net reducer of jobs rather than a creator.

> Bottom line: AI is less likely to cause a net reduction in total jobs worldwide if history and current employer surveys hold - it is more likely to reshape work, destroy many routine and clerical tasks while creating millions of new roles in AI development, data, cybersecurity, green economy, and human-centered skills (creativity, empathy, oversight). Whether individuals and regions experience it as creation or loss will depend heavily on access to reskilling, AI literacy, and how quickly education and policy adapt.

Citations (3)

  1. 1weforum.orgNonprofits and think tanks
    The AI-driven workforce is here. How should your industry transform? | World Economic Forum

    Backs: “while 92 million traditional roles may be displaced, nearly 170 million new positions will be created, resulting in a net gain of 78 million jobs globally. 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”

  2. 2novoresume.comCommercial content
    88 AI Job Creation Statistics and Trends for 2026

    Backs: “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. Overall, 170 million new jobs are projected to be created and 92 million displaced by 2030, resulting in a net increase of 78 million jobs globally (WEF Future of Jobs Report…”

  3. 3ainvest.comNot yet classified
    AI Jobs Impact: UN Warnings And Net Job Creation Trends

    Backs: “Overall, 170 million new jobs are projected to be created and 92 million displaced by 2030, resulting in a net increase of 78 million jobs globally (WEF Future of Jobs Report 2025). This is described as the broader consensus among economic forecasters that AI will act as a net creator of jobs over the next decade,…”