Will AI Replace Jobs or Create More Opportunities?

AI removes some jobs, creates others, and changes the content of many more. The best available forecasts expect net job growth globally, but the gains and losses fall on different people, and early data shows entry-level workers in AI-exposed roles are already affected.

What the Data Says

• Net growth by 2030, across all trends. The World Economic Forum’s Future of Jobs Report 2025, based on a survey of more than 1,000 employers, projects 170 million jobs created and 92 million displaced between 2025 and 2030, a net gain of 78 million. These figures cover all major trends (technology, the green transition, demographics, economic conditions), not AI alone.
• Exposure is highest in rich economies. An IMF staff discussion note estimates that about 40% of workers worldwide are in occupations highly exposed to AI, rising to about 60% in advanced economies. Exposure is not the same as replacement: the IMF expects some exposed jobs to benefit from AI as a complement.
• Entry-level hiring is the early warning sign. Researchers at the Stanford Digital Economy Lab, using U.S. payroll data through June 2026, find employment of workers aged 22–25 in AI-exposed occupations is 19% below where it would be had it kept pace with less-exposed peers. The gap comes from reduced hiring rather than layoffs, and is concentrated where AI substitutes for work rather than complementing it. The authors describe these as early, descriptive indicators, not causal estimates.

Which Jobs Are Most at Risk

Roles built on repetitive, rule-based work with structured data are the most exposed. The WEF report expects the largest absolute declines among clerical and secretarial workers, including cashiers, ticket clerks and administrative assistants, and lists postal service clerks, bank tellers and data entry clerks among the fastest-declining roles.

In most of these cases AI automates tasks within a job rather than the whole job at once. A customer service team, for example, may shrink as chatbots handle routine questions while remaining staff deal with complex cases.

Which Jobs Are Growing

According to the WEF, the fastest-growing roles in percentage terms are technology jobs: big data specialists, fintech engineers, AI and machine learning specialists, and software and application developers. In absolute numbers, the biggest growth is in frontline and care roles such as farmworkers, delivery drivers, construction workers, nurses and teachers.

Other roles tied to AI adoption include data analysts, cybersecurity specialists, AI product managers and specialists in AI governance and ethics.

How Existing Jobs Change

For most workers, the bigger shift is in what the job involves. A marketer who used to write every piece of copy now uses AI tools to generate ideas, analyse data and test campaign variations. Developers use code assistants for routine code; doctors use software that flags findings in scans; writers use AI for first drafts. In each case, human judgment remains responsible for the result.

The WEF expects that, on average, 39% of workers’ existing skill sets will be transformed or become outdated between 2025 and 2030. AI and big data, networks and cybersecurity, and technological literacy are the fastest-growing skills, alongside creative thinking, resilience and flexibility, and curiosity and lifelong learning.

What This Means for Businesses

Companies adopting AI can lower costs and speed up work, but the benefits depend on retraining staff and redesigning processes, not only on buying tools. Ready-made solutions from AI marketplaces can shorten implementation for businesses that do not want to build their own systems.

Key Takeaways

• Global forecasts expect more jobs created than lost by 2030, though AI is only one of the forces involved.
• Clerical, data entry and routine customer service roles face the most pressure.
• Early-career workers in AI-exposed jobs are seeing fewer hiring opportunities.
• Most jobs will change rather than disappear; AI, data and cybersecurity skills are in the highest demand.