Your question sits at the heart of the AI jobs debate — I'll gather the latest research to weigh creation versus displacement.
AI is expected to do both — displace existing jobs and create new ones — with most major forecasts projecting a net gain in jobs globally, but losses concentrated in specific occupations, skill levels and economies.
1. How AI takes away jobs
•High exposure: The International Monetary Fund estimates roughly 40% of global employment is exposed to AI, rising to about 60% in advanced economies like the U.S., UK and EU. Goldman Sachs Research estimates 300 million jobs worldwide face meaningful automation riskand that AI could automate approximately 25% of all work hours in the U.S. over a ten-year window.
•Employers plan cuts: In the World Economic Forum Future of Jobs Report January 2025, 41 percent of companies anticipate workforce reductions in the next five years due to artificial intelligence. In another breakdown, 40 percent of employers anticipate reducing their workforce specifically where AI can automate tasks.
•Most vulnerable roles: Clerical and secretarial roles are expected to see the largest decrease in job openings, including cashiers, ticket clerks, administrative assistants, executive secretaries, postal service clerks, bank tellers and data entry clerks. Other analysis puts automation risk at 75–95% for administrative support and 80% for customer service, and 65–80% for legal research and paralegal work by 2027.
•Early entry-level impact: Workers aged 22–25 employed in AI-exposed occupations recorded a 13% employment decline between November 2022 and December 2025. A U.S. Bureau of Labor Statistics flagged group of 18 AI-exposed occupations accounting for about 10 million jobs saw a 0.2% drop between May 2024 and May 2025 while overall employment rose 0.8% over the same period.
•Worker perception: In Pew Research Center surveys, only 6% of workers say workplace AI use will lead to more job opportunities for them in the long run, while about a third (32%) say it will lead to fewer opportunities.
•Economy-wide view from BLS: Over the 2023–33 employment projections period, AI is expected to primarily affect occupations whose core tasks can be most easily replicated by Generative AI in its current form, although the employment trajectories of computer, legal, business and financial, and architecture and engineering occupations remain uncertain.
2. How AI creates jobs
•Technology and green jobs growing: The same WEF report found technology-related jobs are expected to see the largest growth percentage-wise, including big data specialists, fintech engineers, AI and machine learning specialists, prompt engineers, and software and application developers, while green and energy transition roles like autonomous and electric vehicle specialists, environmental engineers, and renewable energy engineers also grow quickly.
•Strong growth in AI occupations: Adoption of AI technologies, including generative AI tools, is expected to fuel strong job growth among computer and mathematical occupations, with employment of data scientists projected to increase 33.5 percent between 2024 and 2034.
•Entirely new roles: The World Economic Forum highlights five new jobs AI could create including AI model and prompt engineers. An AI prompt engineer writes questions for chatbots to test and improve their answers, a gig which pays as much as $375,000 per year. PwC Global AI Jobs Barometer notes workers with demonstrated AI proficiency command wages 56% above comparable peers, with demand for automation architects growing at 34% compound annually through 2028.
•LinkedIn evidence: Rather than costing jobs, AI has been a growth area, creating 1.3 million new roles according to LinkedIn data cited by the World Economic Forum.
3. What net forecasts say
No consensus on exact numbers, but major institutional forecasts lean net-positive:
•The most commonly cited WEF projection indicates while 85 million jobs will face potential displacement through AI automation by 2030, approximately 97 million new employment positions will simultaneously emerge across global labor markets, yielding a net positive job creation of approximately 12 million positions. A similar formulation is reported as 85 million jobs face displacement through AI automation, an estimated 97 million new positions will simultaneously emerge, creating a net positive of 12 million jobs globally (World Economic Forum, 2025).
•Earlier WEF phrasing: The workforce is automating faster than expected, displacing 85 million jobs in next five years - The robot revolution will create 97 million new jobs.
•More recent WEF 2026 modeling shows 170 million new roles created globally against 92 million displaced, a net gain of 78 million positions. A related summary points to the creation of approximately 170 million new roles worldwide even as 92 million existing jobs are displaced — resulting in a net gain of roughly 78 million roles by 2030.
•Historical parallel often cited: experts who expect technology will not displace more jobs than it creates have faith that human ingenuity will create new jobs, industries, and ways to make a living, just as it has been doing since the dawn of the Industrial Revolution.
The IMF and OECD warn, however, that aggregate net-positive outcomes mask severe distributional pressures, with emerging markets and low-income countries having thinner capacity to manage displacement or reskill workers. The IMF notes AI will also lead to income and economic disparity, job displacement and inequality.
4. What is happening right now?
Despite forecasts, labor-market data up to 2025-2026 shows limited economy-wide disruption yet:
•Despite warnings about AI taking our jobs, the data tells a different story — a new report from Yale University's Budget Lab and The Brookings Institution suggests that, despite its rapid rise, AI has not yet caused widespread disruption in the labor market.
•In that analysis released Oct. 1, researchers report no economy-wide employment disruption tied to AI since ChatGPT's November 2022 debut, with measures of AI exposure, automation, and augmentation showing no clear relationship with changes in employment or unemployment.
•Brookings notes these changes predate ChatGPT's launch, suggesting AI may not be the primary driver and AI's early stages look less like a revolution and more like a familiar, gradual evolution.
•IDC's August 2025 Future of Work Survey reveals a more nuanced picture ... Rather than a dour view that AI and agentic AI will only take jobs from the market, this view shows a balanced view where jobs will actually increase more than decrease for entry-level, middle management, and senior-level positions.
This suggests a lag between adoption and measurable job losses, with AI currently changing jobs more than eliminating them — researchers found employers are increasingly seeking candidates with AI skills, particularly in entry-level positions, reshaping job requirements rather than replacing workers across the board.
Bottom line
•Short term (next 5 years): More job churn and displacement in automatable, routine white-collar and clerical work, with 41% of firms planning cuts, but also hiring for AI-specific skills.
•Medium term (to 2030): Most institutional models (WEF, Goldman Sachs, IMF) project more jobs created than destroyed — on the order of +12 million to +78 million net globally — driven by technical, supervisory, and human-machine collaboration roles, but requiring large-scale reskilling.
•Distribution matters: Gains and losses will not be even. Advanced economies face higher exposure (60%), while low-income countries face lower exposure (26%) but less capacity to adapt, and workers without AI proficiency risk wage and employment penalties.
Whether AI creates or destroys more opportunities for you will depend less on the global net figure and more on occupation, skill adaptability, and access to retraining in AI-complementary capabilities like critical thinking, data literacy, and interpersonal skills that remain difficult to automate.