Will AI create or take away more job opportunities?

I'll weigh whether AI will create or cut more jobs — gathering the latest research on both sides.

Short answer: Both — but most large-scale research projects project a net gain in the total number of jobs globally, alongside a massive churn where tens of millions of existing jobs are disrupted or eliminated.

It is not a simple create vs. destroy story. It's reshuffling.

1. What the biggest forecasts say: More created than displaced

The most authoritative forecast is the World Economic Forum's Future of Jobs Report 2025, based on a survey of more than 1,000 employers representing 14+ million workers:

> The World Economic Forum’s 2025 report projects 92 million jobs displaced and 170 million created by 2030, a net gain of 78 million.
> Research from the World Economic Forum's Future of Jobs Report 2025 projected that major labor-market transformations, including AI and other technological, economic, and demographic changes, could create 170 million jobs globally by 2030 while displacing approximately 92 million.

That report stresses those projections cover several forces — not AI alone — including the green transition and demographics, rather than AI alone. When looking at AI and information-processing technologies alone, the balance is much tighter:

> Jobs created - 11M projected by 2030 / Jobs displaced - 9M projected by 2030 / Net job growth +2M

In the U.S., the September 2026 McKinsey Global Institute report Workforce in Motion found a similar pattern:

> while artificial intelligence and automation will eliminate the equivalent of 36 million jobs over the next decade, the broader US economy will generate demand for 41 million new ones, yielding a net surplus of five million positions.
> about 36 million US jobs facing reduced demand by 2035 against about 41 million created

Gartner research also suggested that Beginning in 2028, AI is expected to generate more jobs than it eliminates

In other words, the consensus among these projection-based models is: More jobs created than destroyed, but by a relatively small margin.

2. Why AI takes away jobs

However, researchers emphasize the distinction: AI is changing work but not eliminating jobs whole cloth.

> In a 2025 study, the ILO estimated that approximately one in four jobs worldwide is potentially exposed to generative AI. However, researchers concluded that most affected occupations are more likely to experience changes in their responsibilities than complete elimination.

And:

> The available evidence suggests that rather than eliminating the need for humans in the workforce, AI will create new, better, and more stimulating opportunities for workers.

3. Why AI creates jobs

New categories barely existed 10 years ago are among the fastest growing:

> AI engineers, machine learning specialists, automation consultants, AI compliance professionals, and data governance experts are becoming increasingly important

Plus indirect creation in:

Companies are investing in AI implementation, cybersecurity, data infrastructure, technology integration, and specialized services that require human expertise.

Historical precedent also supports creation: Research notes 85% of job growth since 1940 has come from technology creating brand-new positions, and economists describe this as Schumpeter's "creative destruction" — technology destroying old jobs while creating new ones.

Early firm-level evidence is also more optimistic than headlines: By analysing the hiring patterns of thousands of firms over several years, researchers found that companies adopting AI are not shedding workers. In fact, they are advertising for more jobs.

4. The catch: Net positive ≠ painless

All the reports agree the transition will be painful because the new jobs are not the same as the old ones, in skills, location, or pay.

McKinsey's base case: Roughly 11 million Americans may need to leave a shrinking occupation for an entirely different one, about 7% of the workforce, with a range of 6 million to 16 million.

The World Economic Forum estimates that 39% of workers' existing skills could change or become outdated between 2025 and 2030.

And:

> Workers displaced from administrative, clerical, or customer service positions cannot necessarily transition immediately into AI engineering, cybersecurity, or data analytics.
> The emerging pattern suggests that artificial intelligence could simultaneously eliminate certain positions while increasing demand for entirely different occupations.

MIT economist Daron Acemoglu, who is more pessimistic on the near term, has said "I would expect some net job losses, limited but net job losses, within the next five years," estimating 2-4% net losses while also noting the historical productivity-displacement relationship would require about 15 million Americans to shift roles over a decade.

Bottom line

> Artificial intelligence may not be the job-destroying force that millions of American workers fear. Instead, the technology could create nearly as many employment opportunities as it eliminates, suggesting the future of work may involve a massive reshuffling of jobs rather than widespread permanent unemployment.

For workers, the best hedge is not competing against AI but learning to work with it — AI literacy, critical thinking, leadership, emotional intelligence, communication and adaptability remain capabilities that technology cannot easily replicate, and those who combine domain expertise with practical AI capabilities will be best positioned.