Will AI create or take away more job opportunities?

I'll examine recent forecasts to weigh whether AI will create or eliminate more jobs.

Short answer: According to almost every major institutional forecast, AI will do both - eliminate tens of millions of existing jobs and create even more new ones - resulting in a net gain in total jobs globally, but with severe disruption for specific workers, industries and skill levels.

That net gain is not automatic for everyone, and not without pain in the transition.

What the largest forecasts say: Net creation, not net destruction

The most quoted figure is from the World Economic Forum's Future of Jobs Report 2025, based on a survey of over 1,000 employers across 55 countries:

> 92 million roles are projected to be displaced by 2030, while 170 million new roles emerge — a net gain of 78 million jobs

The same report is summarized elsewhere as:

> 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

Other long-range models show the same pattern of both sides being large:

•An earlier modeling cited estimates of 85 million jobs facing displacement through AI automation and 97 million new positions emerging, creating a net positive of 12 million jobs globally

•AI could eliminate 92 million jobs by 2030. However, it could also create 170 million new ones - a net gain of 78 million jobs (WEF Future of Jobs Report 2025)

Consultancies and research firms echo the "more transformation than apocalypse" view:

> While AI is expected to create more jobs than it removes by 2028–2029, millions of roles will be significantly reshaped every year

And:

> AI will “displace” 38% of transport jobs, and 30% of manufacturing jobs... The report said: “Our estimates suggest that AI will not lead to technological unemployment as we project that it will displace around 20% of existing UK jobs by 2037, but create a similar number

In short, the consensus among WEF, Gartner, PwC and others is not a jobless future, but a churning future: massive turnover.

78 million net gain still means 92 million people need to move.

Why the numbers look so large on both sides

AI's reach is broad:

•The International Monetary Fund's 2024 assessment found that roughly 40% of jobs globally face meaningful exposure to AI capabilities — a figure that rises significantly in advanced, digitized economies. In high-income countries, the IMF puts the share closer to 60%

•Goldman Sachs estimates that over the longer term, AI automation will displace roughly 6–7% of the U.S. workforce, equivalent to approximately 11 million workers. Globally, their modeling points to around 300 million full-time jobs being affected

•Goldman Sachs also noted: AI “could expose the equivalent of 300 million full-time jobs to automation” — Exposed, not replaced

•McKinsey estimated that today's technology could, in theory, automate approximately 57% of current U.S. work hours — but clarified that is technical potential, not a forecast of job losses

Has it happened yet? Not at economy-wide scale - but pressure is visible

MIT Technology Review's 2026 reality check concluded:

> there's scant evidence that AI has yet had any large-scale impact on the US labor market

Economists note only one in five companies are using AI in any business function, and that adoption history suggests it takes time for innovations to work their way through changes in industries and occupations.

However, concentrated effects are already measurable:

•Measured displacement through 2025 is smaller than the projections imply. Challenger, Gray & Christmas tracked approximately 12,700 jobs directly attributed to AI in 2024

•Through 2025, only ~55,000 jobs were linked to AI-related cuts

•In 2025, AI was responsible for 54,836 layoff plans; since 2023, the tech has been connected to 71,825 job cut announcements

•A Stanford Digital Economy Lab study using ADP payroll data found a 16% decline in entry-level jobs in AI-exposed occupations after 2024, and Goldman Sachs data shows among 22–25-year-olds in AI-exposed roles, employment fell 16% from late 2022 to mid-2025

Other trackers confirm: Analysis of BLS data shows the unemployment rate for the jobs potentially most affected by AI is actually lower than that for occupations less exposed, and there are no signs that large numbers of people are shifting from jobs threatened by AI to supposedly safer ones.

Which jobs are most at risk vs. most likely to grow

Highest displacement risk — repetitive, codifiable, information-processing tasks:

•Manual data-entry roles face an estimated automation risk of 95%, with SSRN projecting 7.5 million data-entry and administrative jobs could be eliminated by 2027

•Customer service: SSRN estimated an 80% automation risk by 2025, with approximately 2.8 million U.S. jobs exposed

•Financial services back-office: up to 200,000 roles could be cut over the next three to five years — roughly 3% of the sector's workforce

•Writing/translation freelancing demand fell 20–50% in AI-substitutable categories after ChatGPT

•Transportation: 1.5 million U.S. trucking jobs at risk by 2030

Highest creation / growth opportunity:

•WEF identified approximately 350,000 emerging AI-specific roles including prompt engineers, AI ethics officers, human-AI collaboration specialists, and Q1 2025 data showed 35,445 AI-related job openings in the U.S., up 25.2% year-over-year

•Technology, Data, and Cybersecurity: Software developers face a projected 17.9% employment increase from 2023 to 2033, Information security analyst roles are expected to grow 32%

•Healthcare: Nurse practitioners alone are expected to grow 52% from 2023 to 2033

•Skilled Trades and Physical Services: Construction, electricians, plumbers, HVAC consistently rank among the least vulnerable

Productivity and wage data also show augmentation rather than pure replacement in many high-exposure roles: PwC found industries with higher AI adoption have seen productivity growth rates four times higher, and workers with AI skills earn on average 25% more.

And crucially:

> In jobs where AI was mainly used but to augment human work, head counts grew faster than the average for entry-level workers

So, will AI create or take away more?

•In aggregate numbers globally by 2030: Forecasts say create more — about 170m created vs 92m displaced = +78m net.

•In specific occupations: It will decisively take away — clerical, data entry, routine customer service, basic coding and writing tasks are already shrinking.

•For individuals: The outcome depends almost entirely on adaptability — the NBER found approximately 3.9% of U.S. workers sit at high exposure and low adaptive capacity, while those with high adaptive capacity (designers, marketing managers, financial analysts with 97-100% adaptive capacity) are most likely to ride the wave.

As Nvidia CEO Jensen Huang summarized:

> “There’s no question that everyone’s jobs, profession, will be affected by AI... some jobs will become obsolete. New jobs are going to be created. And every job will be changed.”

The historical pattern for general-purpose technologies (steam power, computers, internet) has been net job creation after a period of disruption, but economists caution this time may affect white-collar work faster and that the current data is still early.

Practical takeaway: AI is less likely to cause permanent mass unemployment and more likely to cause mass job churn — the risk is not that there will be no work, but that the work will require different skills, in different places, and that 41% of employers globally plan to reduce workforce in areas where AI can automate tasks within the next five years while 77% report plans to reskill workers to work alongside AI.

Those who learn to work with AI are positioned to benefit from the creation side; those in highly automatable tasks without a reskilling path face the displacement side.

Citations (3)

1weforum.orgNonprofits and think tanks
The AI-driven workforce is here. How should your industry transform?
Backs: “92 million roles are projected to be displaced by 2030, while 170 million new roles emerge — a net gain of 78 million jobs. The same report is summarized elsewhere as: 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”
2almcorp.comNot yet classified
AI Job Displacement Statistics (2025–2030): 60+ Facts on Which Jobs Are at Risk
Backs: “The International Monetary Fund's 2024 assessment found that roughly 40% of jobs globally face meaningful exposure to AI capabilities — a figure that rises significantly in advanced, digitized economies.”
3technologyreview.comNews and mediaquality 0.91
A reality check on the AI jobs hysteria
Backs: “Not at economy-wide scale - but pressure is visible. MIT Technology Review's 2026 reality check concluded: there's scant evidence that AI has yet had any large-scale impact on the US labor market”