Will AI create or take away more job opportunities?

Will AI be a net job creator or destroyer? I'll pull the latest research on employment impacts.

AI is likely to do both - displace many existing jobs and create many new ones - but most major institutional forecasts project a net gain over the medium term, with significant near-term disruption and transition costs.

What the major forecasts say: Net Creation

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

> 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 also summarized as 92 million jobs projected to be displaced by 2030, with 170 million new ones emerging

Earlier WEF estimates gave a similar pattern on a smaller scale:
> The WEF predicts that by 2025, 85 million jobs will be replaced by machines, but 97 million new roles will emerge
and
> The World Economic Forum's Future of Jobs Report 2025 projected that AI and related technologies would create 97 million new roles globally by 2027, while displacing approximately 85 million. That's a net positive of 12 million jobs

Other institutional views align with net creation or near-zero net loss:

•Gartner: AI will create more jobs than it eliminates, and therefore robust internal talent pipelines will be critical beginning in 2028

•Goldman Sachs: Despite concerns about widespread job losses, AI adoption is expected to have only a modest and relatively temporary impact on employment levels, estimating that unemployment will increase by half a percentage point during the AI transition period

•ITIF/Dallas Fed findings: Through 2024, AI job creation effects outpaced measured displacement, with estimates of more than 8,900 employees added to develop AI models and about 119,900 direct jobs last year compared to approximately 12,700 jobs lost due to AI in 2024

•Federal Reserve Bank research cited in a fact-check found little evidence that firms have experienced or anticipate near-term AI-driven employment declines, with executives reporting negligible impact from AI on employee headcounts in 2025, and average impact on 2026 close to zero

•PwC 2025 Global AI Jobs Barometer: Contrary to some expectations, the data does not show job or wage destruction from AI. While occupations with lower exposure to AI saw strong job growth (65%) [...] growth remained robust even in more exposed occupations (38%)

Advocates for the net-creation view also point to company surveys:
> 77% of firms reported AI-driven job creation, while 46% reported job losses and of those experiencing both, 69% said the overall effect has been positive

A summary of institutional consensus states:
> Every major institutional economic projection — Goldman Sachs, WEF, IMF, McKinsey, the BLS — shows net positive job creation at the macro level over the medium term

What displacement evidence shows: Concentrated losses

The net gain does not mean no losses. Research emphasizes AI is changing jobs more than eliminating them, rather than replacing workers across the board, but losses are concentrated:

•Exposure is broad: The IMF says nearly 40 percent of global employment is exposed to AI, rising to 60 percent in advanced economies. Goldman Sachs said AI could substitute for up to a quarter of current work, exposing 300 million jobs in the US and Europe and more precisely 300 million jobs globally are exposed to automation, with 6-7% of workers displaced during a ~10 year transition.

•White-collar and entry-level hit first: The impact is falling primarily on white-collar knowledge workers, creative fields, and technology service sectors rather than causing sweeping automation of blue-collar jobs. Goldman Sachs projects up to 300 million jobs worldwide could be at risk as generative AI has potential to replace 18% of all white-collar tasks. Anthropic's CEO warns up to 50% of entry-level white-collar jobs could become automated.

•Already measurable declines in exposed roles: Employment in the computer systems design and related services sector has declined 5 percent. More broadly, employment has declined 1 percent since late 2022 in the 10 percent of sectors most exposed to AI. An August 2025 Stanford working paper found early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13% decline in employment. The IMF found employment levels in AI-vulnerable occupations are 3.6 percent lower after five years in regions with high demand for AI skills. After ChatGPT's launch, job postings for occupations with structured and repetitive tasks decreased by 13%.

•Worst-case scenarios: A secondary summary of McKinsey Global Institute predicts up to 800 million jobs globally may be replaced by AI by 2030, while AI will also create 130 million to 230 million new opportunities, which some cite as evidence net displacement is possible if adoption is aggressive and reskilling fails.

•Tasks vs. jobs: One analysis found 80% of the U.S. workforce could have at least 10% of their tasks impacted by large language models.

Why public perception is more pessimistic

Despite institutional forecasts of net creation, public surveys show anxiety:

> Pew's 2026 global survey reveals that the public expects AI to be a net reducer of jobs rather than a creator and public concern about AI's labor-market impact is outpacing optimism about new job creation
> In 34 of these countries, it is more common to believe that AI will result in fewer jobs over the next 20 years, with Australians most pessimistic at 76%
> 63% of American workers believe AI will decrease overall job availability

In Europe, 68% of employees expect fewer workers to be needed as AI becomes more established, and globally about 54% of executives expect AI to displace roles, while only 24% expect net-new jobs.

Bottom line: Reshape more than erase, but transition matters

The current research consensus does not support a single headline:

1.In aggregate numbers, WEF, Goldman Sachs, and the Federal Reserve project more jobs created than destroyed, or only a transitory unemployment bump of ~0.5 percentage points.

2.In distribution, the jobs created are fundamentally different from the jobs being displaced, and 92 million displaced and 170 million new are not direct exchanges happening in the same locations with the same individuals.

3.Policy and firm strategy determine the outcome: The debate has organized around how many jobs AI will destroy, but evidence finds sectors more exposed to generative AI have experienced large gains in output, employment, and wages with effects emerging well before ChatGPT when AI is used to augment rather than replace. About half of exposed jobs in advanced economies may benefit from AI, not just lose.

So, will AI create or take away more opportunities? If you measure total global job counts by 2030 under base-case institutional forecasts, AI is expected to create more than it destroys. If you measure specific occupations, entry-level white-collar roles, or regions without reskilling, AI is already taking away opportunities for those cohorts and will continue to do so for the next 5-10 years. The net effect depends heavily on how quickly workers are reskilled, how firms deploy AI (automation vs augmentation), and how governments manage the transition.

Citations (2)

1weforum.orgNonprofits and think tanks
The AI-driven workforce is here. How should your industry transform? | World Economic Forum
Backs: “What the major forecasts say: Net Creation. The most cited global projection is the World Economic Forum's Future of Jobs Report 2025: 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”
2lenz.ioLow provenance
Major forecasts project AI will create as many or more jobs overall. — Lenz
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. The same report is also summarized as 92 million jobs projected to be displaced by 2030, with 170 million new ones emerging”