Will AI create or take away more job opportunities?

AI's impact on jobs is contested — I'll pull the latest forecasts on what's created versus displaced.

Short answer: Most major forecasts expect AI to create more jobs than it destroys in the long run, but to be disruptive and uneven in the short run - and the outcome depends heavily on adaptation, reskilling, and how companies use AI.

1. What the biggest forecasts say: Net creation

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

> employers expect 170 million new roles and 92 million displaced roles by 2030, for a net gain of 78 million jobs

That same report is summarized elsewhere as:
> by 2030, job disruption will equal 22% of current jobs: 170 million created, 92 million eliminated, a net gain of 78 million

The forecast covers all structural trends tracked by the WEF - AI and technology as the largest single driver - not AI alone.

When isolated to AI and information processing technology alone, the WEF forecast is smaller:
> 9 million displaced, 11 million created is the WEF forecast for AI and information processing technology alone by 2030

An earlier WEF forecast made the same point on a smaller scale: AI would cause the loss of 85 million jobs by 2025 but create 97 million jobs over the same period, hence leading to a net gain of 12 million jobs

Other forecasters frame it as exposure, not automatic loss:

2. What has actually happened so far: Disruption is not yet economy-wide

Economists consistently find no large-scale mass displacement yet:

> There's scant evidence that AI has yet had any large-scale impact on the US labor market

Specific measurements:

A nuanced view from IDC's August 2025 Future of Work Survey:

> 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

But entry-level workers in highly exposed occupations are an early exception:

> It was specifically the jobs where tasks could be automated (that is, AI could do them "with minimal human involvement") that accounted for the decrease in employment — jobs for people like software developers. In jobs where AI was mainly used but to augment human work, head counts grew faster than the average

3. Jobs AI is most likely to take vs. create

Most exposed to displacement:
IMF estimates AI will affect about 40% of jobs globally; roughly 60% in advanced economies, 40% in emerging markets, and 26% in low-income countries. The IMF also notes approximately 60% of jobs in advanced economies are exposed, rising to about 60% in advanced economies and falling to 26% in low-income countries. Of the jobs exposed in advanced economies, roughly half may benefit from AI integration, while the other half face a genuine risk of displacement.

Routine, repetitive and data-driven tasks are most automatable: clerical work, customer support, manufacturing, logistics, and entry-level coding. For example, 75% of a computer programmer's tasks are covered by observed AI usage, the highest of any occupation. One in four jobs worldwide has some exposure to generative AI, and one in three in high-income countries, with clerical occupations ranking highest.

Employers anticipate this: 41% plan to reduce headcount because of AI automation and 77% plan to upskill their workforce.

New / growing jobs:
History shows technology doesn't just destroy jobs; it transforms them and creates new ones. Models point to:

Productivity gains also create indirect jobs: AI allows lawyers to draft contracts faster and analysts to comb through filings in minutes. If higher productivity lowers costs, demand can rise enough to create more work overall.

This follows a historical pattern: "In the four decades following the Second World War, the emergence of new occupations completely offset job destruction due to automation", though the question is whether AI will replicate that pattern and at what pace.

4. Why the answer is not simply "more" or "fewer"

Bottom line

If you are planning for a career, the safest bet across forecasts is to build skills that AI handles poorly alone — judgment, trust, creativity, context, and oversight of AI — and to gain direct AI fluency, since AI-related skills are showing up more often in job postings and are rewarded with wage premiums.