Will AI create or take away more job opportunities?

AI's net effect on jobs is heavily debated — I'll weigh the latest research on creation versus displacement.

On balance, most major institutional forecasts project AI will create more jobs than it destroys in aggregate by 2030-2035, but will displace a very large number of workers in the transition - so the net effect depends on geography, timeframe and whether workers can reskill.

1. What the headline forecasts say: Net gain, with huge churn

The most-cited aggregate estimate is the World Economic Forum's Future of Jobs Report 2025:

> 92 million roles displaced and 170 million created globally by 2030 — a net gain of 78 million jobs

The WEF itself phrases it 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

The same report surveyed more than 1,000 employers representing 14 million workers across 55 economies, projecting that 22% of all jobs will be disrupted in the next five years, and that 170 million jobs may be created, 92 million displaced and 39% of existing skill sets transformed or rendered obsolete by 2030.

Other aggregate forecasts point the same direction:

•McKinsey: AI and automation will cut demand for about 36 million U.S. jobs by 2035 while growth elsewhere creates about 41 million

•Goldman Sachs Research: unemployment will increase by half a percentage point during the AI transition period as displaced workers seek new positions. But the impact is likely to be transitory as new job opportunities created by the technology ultimately put people to work

•In a March 2026 assessment of evidence, the claim that AI will displace more jobs than it creates on a net basis overstates the available evidence. While documented displacement exists in specific sectors, the most authoritative aggregate assessments — from the Federal Reserve, World Economic Forum, PwC, and Goldman Sachs — show near-zero net headcount effects or project net job creation

Historical evidence so far supports a mild net effect: Federal Reserve surveys found firms reported a negligible impact from AI on employee headcounts in 2025, and the average impact on 2026 employment levels is also close to zero, though large companies expect to reduce employment by 0.8 percent in 2026.

PwC's 2025 Global AI Jobs Barometer similarly found:

> the data from the report does not show job or wage destruction from AI. While occupations with lower exposure to AI saw strong job growth (65%) in recent years (2019-2024), growth remained robust even in more exposed occupations (38%)

And:

> There is a mildly negative correlation between employment trends and AI usage, suggesting that AI may be depressing job growth. This trend is especially evident in certain tech industries, including cloud, web search and computer systems design, which stopped growing at the end of 2022

In ITIF's count for the US in 2024, AI created about 119,900 direct jobs, while estimates were approximately 12,700 jobs were lost due to AI in 2024.

2. Why many people still experience job loss: Concentrated displacement

Net creation does not mean no one loses:

•Exposure is broad: The IMF estimated that almost 40% of global employment is exposed to AI, rising to about 60% in advanced economies. In 2024 IMF analysis, around 60% of jobs in advanced economies could be affected by AI in some way.

•Technical automatability is high: McKinsey Global Institute calculated that 57% of U.S. work hours are technically automatable with technology that already exists — 44% through AI agents, 13% through robots. It is technical potential, not a forecast.

•Transitions needed: Approximately 11 million U.S. workers may need to switch occupations due to the displacement effects of artificial intelligence by 2035 — roughly 7% of the current labor force, described elsewhere as Roughly 11 million American workers, or about 7 per cent of the current workforce, may need to change jobs by 2035. Goldman Sachs estimates 300 million jobs globally are exposed to automation by AI. In Briggs' base case, 6-7% of workers will be displaced during that transition period, with a later update to about 9% of US workers over roughly a decade, implying around 15 million people.

•Early evidence of localized decline:

•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

•Stanford working paper found early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13% decline in employment relative to less exposed occupations

•After the public launch of ChatGPT in November 2022, job postings for occupations that involve lots of structured and repetitive tasks decreased by 13% while demand for analytical/creative work grew 20%

The WEF notes the disconnect is structural: 92 million jobs are projected to be displaced by 2030, with 170 million new ones emerging. But these aren't direct exchanges happening in the same locations with the same individuals.

> The World Economic Forum anticipates 92 million jobs displaced globally by 2030 across all drivers, offset by 170 million new ones for a net gain... McKinsey research shows AI creating more jobs than it eliminates in aggregate, though transitions prove painful

3. What kinds of jobs are affected?

•More vulnerable: routine, repetitive, structured tasks — data entry, basic customer service, paralegal document review, basic coding, translation, and junior/entry-level roles. The Dallas Fed notes wages are rising in AI-exposed occupations that place a high value on a worker's tacit knowledge and experience, suggesting AI may substitute for entry-level workers but complement experienced workers.

•More resilient / growing: AI development and maintenance, data science, cybersecurity, AI literacy and orchestration, healthcare augmented by AI, green energy and human-centric skills — creativity, empathy, communication, leadership and judgment. PwC and LinkedIn note Job postings requiring AI skills doubled between 2024 and 2025 and AI Engineer the fastest-growing US job in 2026 has been cited.

4. Bottom line

•Economists' consensus as of 2025-2026: AI is likely to be a net job creator over a 5-10 year horizon (+78 million globally per WEF, +5 million in US per McKinsey) if workers can move, but a net job disruptor for millions of individuals who cannot.

> At the global level, AI job displacement vs. creation statistics show more jobs created than destroyed; 170 million new roles projected versus 92 million displaced by 2030, a net gain of 78 million. ... The transition gap between displacement and accessibility is where the real challenge sits

•Short-term risk is concentrated on entry-level, recent graduates, and workers in highly automatable clerical/tech roles — with measurable 1-5% employment declines already in those pockets.

•Long-term risk if reskilling fails: Forrester forecasts 10.4 million U.S. jobs lost by 2030, exceeding the Great Recession's 8.7 million — yet this unfolds over eight years rather than two, making it a slow-motion crisis.

Like previous industrial revolutions, technology wiping out existing jobs will function as a catalyst that will create new jobs — but past waves required decades of education, labor mobility and policy support.

> Practical takeaway: AI will both take away and create jobs simultaneously. Whether it creates more for you depends less on the global arithmetic and more on your proximity to AI-augmentable skills — AI literacy, data, domain expertise + human judgment — versus AI-automatable routine tasks.

Citations (2)

1weforum.orgNonprofits and think tanks
The AI-driven workforce is here. How should your industry transform? | World Economic Forum
Backs: “92 million roles displaced and 170 million created globally by 2030 — a net gain of 78 million jobs. The WEF itself phrases it 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”
2lenz.ioLow provenance
Major forecasts project AI will create as many or more jobs overall. — Lenz
Backs: “Goldman Sachs Research: unemployment will increase by half a percentage point during the AI transition period as displaced workers seek new positions. But the impact is likely to be transitory as new job opportunities created by the technology ultimately put people to work”