Will AI create or take away more job opportunities?

Will AI be a net job creator or destroyer? I'll weigh the latest research on both sides.

On balance, most major economic forecasts currently project AI will create more jobs than it destroys in aggregate by 2030 - but it will take away a lot of jobs in the process, and the new jobs will not go to the same people without a difficult transition.

1. What the largest forecasts say: net creation

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

> technological and other major economic trends could create 170 million jobs and displace 92 million by 2030, resulting in a net increase of 78 million jobs

The same figure is described as offsetting the 92 million jobs displaced, resulting in net growth of 78 million jobs (7% of total employment)

Earlier WEF estimates used a smaller scale but same direction: approximately 85 million jobs face displacement while an estimated 97 million new positions will simultaneously emerge, creating a net positive of 12 million jobs globally

Other forecasters agree on the direction but emphasize the scale of exposure:

Historical evidence so far also shows net creation outweighing measured displacement:

> Only ~55,000 jobs were linked to AI-related cuts through 2025, meaning job creation currently outweighs displacement by more than 2:1

And:

> The ITIF found that, through 2024, AI job creation effects (primarily from data center and AI sector expansion) outpaced measured displacement

In a UK-specific example, PwC estimated AI and robotics will displace up to 7 million jobs between 2017 and 2037 but generate 7.2 million jobs – a net gain of 200,000 jobs

That is why many economists argue: like past waves of technology, AI will automate tasks, not whole jobs, and create new work around building, training, managing and working alongside AI systems.

2. Why it will also take away a lot of jobs

Forecasts of net gain hide a very large gross displacement:

The jobs most at risk are routine, predictable, and data-heavy:

> Administrative support, customer service, manufacturing production, retail, and transportation face the highest displacement risk by 2030, with up to 30% of current work hours potentially automated

More specifically:

> five categories with the highest immediate risk: (1) administrative and clerical roles — secretaries, data-entry clerks, receptionists; (2) customer service representatives; (3) content writers, translators, and basic copywriters on freelance platforms; (4) retail cashiers; and (5) financial services roles involving routine, structured data processing

At-risk lists also include computer programmers, accountants, auditors, legal and administrative assistants, and credit analysts

Unlike previous automation that hit mainly blue-collar work, AI displacement means replacing decision-making and creative functions, affecting even high-skill roles like marketing analysts, legal assistants, or radiologists

The public is more pessimistic than the forecasts. Pew's 2026 global survey reveals that the public expects AI to be a net reducer of jobs rather than a creator of jobs, particularly in advanced economies

3. What jobs is AI creating?

> Roles such as AI trainers, data analysts, and human-machine teaming managers are on the rise. These new positions blend technical skills with human insight

The reports also list: prompt engineers, AI ethicists, robotics maintenance specialists, data-center construction, hardware development, AI engineering, healthcare, scientific and technical services, and hospitality roles predicted to increase

77% of employers expect to "upskill" their existing workers in response to technological change - ideally allowing workers to become more productive, not replacing them entirely.

The catch highlighted by analysts:

> The World Economic Forum says AI will create 170 million new jobs by 2030 and destroy 92 million — a net gain of 78 million. That sounds reassuring. Until you look at who loses the jobs and who gains the new ones. They are not the same people.

4. So, will it create or take away more?

In pure numbers by 2030: Create more.

In human experience: Both, and the transition matters more than the net number.

Economists therefore frame the question as not how many jobs will exist, but:

> Like many other disruptive technologies there are fears about ... jobs and the economy as a whole. ... The important question isn't simply whether AI will succeed. It is how the benefits and costs of that success will be distributed

For individuals: The safest positions are those where AI augments rather than automates — roles requiring creativity, problem-solving, adaptability, human judgment, and the ability to manage, train, and collaborate with AI. Continuous learning in AI, data analytics, and human skills like collaboration and resilience is the most consistent advice across the reports.