Will AI create or take away more job opportunities?

Will AI create or erase more jobs? I'll weigh the latest research on displacement and new opportunities.

Short answer: Both — and more creation than destruction in aggregate, but more destruction than creation for specific workers, roles and skill-sets that don't adapt.

All the largest recent forecasts converge on the same pattern: net creation, massive churn.

1. What the big forecasts say: net gain, but 6-22% of jobs will turn over

•World Economic Forum Future of Jobs Report 2025 - based on more than 1,000 employers representing 14 million workers - projects by 2030 technology, economic, demographic and green-transition trends will create 170 million jobs and displace 92 million - a net gain of 78 million and that 170 million will be created and 92 million displaced

This is often quoted as an AI forecast, but the WEF itself stresses these figures reflect several forces, including technological change, economic shifts, demographic change and the green transition.

•McKinsey Global Institute, US focus: In its base case, about 41 million jobs could be created vs about 36 million reduced by automation, also phrased as demand for more than 40 million jobs while automation could reduce labor demand by the equivalent of roughly 36 million jobs. Net gain: roughly 5 million jobs

But McKinsey also estimates roughly 11 million workers in declining occupations may need to transition to new jobs, or about 7% of current employees might need to shift between occupations, with a range of 6 million to 16 million depending on pace.

•Gartner HR Research 2026: Beginning in 2028, AI will create more jobs than it eliminates

•Other synthesis studies find the same sign but different magnitude: while approximately 85 million jobs face displacement, an estimated 97 million new positions will simultaneously emerge, creating a net positive of 12 million jobs globally

Bottom line from McKinsey's wording: The US economy could create more jobs in the next decade than will be replaced through automation, but the change may require the largest and most sustained workforce transformation in US history

2. Why "exposed" does not mean "lost"

Forecasts distinguish exposure — tasks AI could do — from displacement — jobs that actually disappear.

•IMF: AI will touch about 40% of jobs worldwide and 60% in advanced economies. This comes from IMF research published January 2024: almost 40 percent of global employment is exposed to AI, and in advanced economies about 60 percent of jobs may be impacted

•The same IMF analysis splits that exposure roughly in half: for about one half of exposed jobs, AI is likely to complement workers, while for the other half it could substitute

•Goldman Sachs: Generative AI could expose the equivalent of 300 million full-time jobs to automation worldwide and more precisely 300 million full-time jobs are exposed — a measure of reach, not confirmed losses.

•Forrester forecasts that rather than eliminating roles, AI will augment 20% of jobs over the next five years

This explains why PwC's 2025 Global AI Jobs Barometer, analyzing close to a billion job ads, found job numbers are still growing even in the occupations most exposed to automation. The pattern is not "AI destroys jobs" but "AI reshuffles them".

Early US data already shows the reshuffle: roughly 119,900 AI-related roles were added in 2024 which exceeds confirmed AI-linked losses, while only ~55,000 jobs were linked to AI-related cuts through 2025 — meaning job creation currently outweighs displacement by more than 2:1. That does not count broader layoffs where AI is cited: 48,414 job cuts in the first ten months of 2025.

3. Who is most likely to gain and who to lose?

AI is unusual because it hits white-collar, cognitive work first, not just manual work.

Most exposed:

•Goldman Sachs task exposure: Office & administrative support 46% , Legal 44%, Architecture & engineering 37%

•McKinsey adoption by 2035: occupations in office and administrative support will have the highest expected average adoption, roughly 80 percent of current work hours by 2035

•Virginia EIA classification for highest risk: Mathematicians and Proofreaders top the list

•More than a quarter of work content could be automated in management and administration, creative professions, law and finance, as well as engineering and IT

Fastest-declining roles per WEF: cashiers and ticket clerks, administrative assistants and executive secretaries, bank tellers, postal clerks, data-entry clerks

Fastest-growing: big-data specialists, fintech engineers, and AI and machine-learning specialists plus healthcare, construction, and management occupations — roughly 60 percent of growing employment could be in the top two wage quintiles, while more than 70 percent of declining employment could be in the bottom two quintiles.

Least exposed: Construction & extraction 6%, Installation, maintenance & repair 4%, Building & grounds cleaning & maintenance 1%

4. The deciding variable: reskilling, not headcount

All sources say headcount is less important than skill adjacency.

•WEF: 59% of the global workforce will need reskilling or upskilling by 2030

•WEF: Employers also expect 39 percent of the core skills workers use today to change

•WEF: About 22% of today's jobs will be disrupted

•McKinsey: Overall, more than 70 percent of workers could require some level of reinvention because new tasks may require more than 15 percent of their time

Only one in seven workers has a direct pathway to new work with no or very limited retraining and almost half may face an unpaved pathway. Demand for AI fluency has increased 11 times since 2022, and workers with AI skills command a 56% wage premium.

5. So will AI create or take away more?

•In pure numbers across the whole economy by 2030-2035: create more. Every major projection shows creation > displacement at the global and US level.

•For individuals without retraining, in automatable tasks: take away more. Automation could take on 80 percent of the hours worked in office and administrative support, and 40% of employers still expect to reduce their workforce where AI can automate tasks.

Think of it as a slow-moving tsunami — about 40% of jobs worldwide to be augmented, downgraded or eliminated by AI over time, with routine work already hollowing out while lower-paid jobs grow — not a cliff.

The historical analogy McKinsey uses: Electronic spreadsheets did in seconds what took an accounting clerk a day, but while clerical roles disappeared, accountants did not and will grow more rapidly than average. Judgment and expertise became more valuable.

> Practical takeaway: If you acquire AI-complementary skills — adaptability, AI fluency, domain expertise + judgment, healthcare/tech/trades credentials — AI is likely to create opportunities for you. If work is highly codifiable, repetitive, and easy to verify, AI is likely to take opportunities away unless you transition.

If you want, tell me your industry / role and I can map where it sits on the exposure → augmentation → displacement spectrum and what adjacent growing roles look closest for you.

Citations (2)

1mckinsey.comCompanies
AI and the future of US jobs: Skills and pathways | McKinsey
Backs: “McKinsey Global Institute, US focus: In its base case, about 41 million jobs could be created vs about 36 million reduced by automation, also phrased as demand for more than 40 million jobs while automation could reduce labor demand by the equivalent of roughly 36 million jobs.”
2actigy.comNot yet classified
AI Job Displacement Statistics 2026: Lost vs Created by 2030
Backs: “This comes from IMF research published January 2024: almost 40 percent of global employment is exposed to AI, and in advanced economies about 60 percent of jobs may be impacted. The same IMF analysis splits that exposure roughly in half: for about one half of exposed jobs, AI is likely to complement workers, while for…”