Will AI create or take away more job opportunities?

Will AI Create or Take Away More Jobs? — It's Complicated (but Optimistic Data Leans "Net Positive")

There's no single, settled answer — but here's what the data and expert consensus currently show:

📊 The Official Projections: Net Job Gains

The most-cited authoritative source is the World Economic Forum. The WEF's Future of Jobs Report 2025 forecasts that by 2030, AI and other information processing technologies will spark the creation of 170 million new roles worldwide while making 92 million existing jobs redundant — a net gain of 78 million jobs. Job disruption will equate to 22% of jobs by 2030, resulting in a net increase of 78 million jobs, driven by technological advancements, demographic shifts, and economic pressures.

Goldman Sachs offers a similar mixed-but-optimistic view: AI could replace the equivalent of 300 million full-time jobs and a quarter of work tasks in the US and Europe, but this may also mean new jobs, a productivity boom, and could eventually increase the total annual value of global goods and services by 7%.

⚠️ But Worker Sentiment Is Increasingly Pessimistic

Despite institutional optimism, the on-the-ground mood in 2026 has shifted. A recent U.S. survey found that 46% of workers expect job reductions in their industry by the end of 2026, while only 4% believe AI will create more roles than it eliminates. Additionally, more than half of workers (51%) admit they are worried about losing their job to AI or automation in 2026.

🏢 Company Size Matters

Interestingly, the impact isn't uniform across business sizes: small firms continue to forecast a net positive employment effect from AI investment into 2026, often using AI to extend capacity so small teams can take on more work while hiring focuses on growth needs. However, employment consequences vary across company sizes and sectors, with larger firms increasingly anticipating net negative impacts, while small and medium-sized enterprises still forecast positive effects.

🔍 Real-World Data So Far: Mixed Signals

Actual layoff data complicates the "AI apocalypse" narrative. A Gallup survey found that 62% of laid-off workers were non-users of AI, while workers who use AI regularly were less likely to be laid off — and despite this, only 1% of laid-off workers cited AI or automation as the primary reason for their job cuts.

At the same time, some sector-specific research shows AI directly generating more jobs than it destroys. One analysis found that the AI sector directly generated approximately 119,900 jobs in the United States in 2024, driven by hiring of machine learning engineers, data scientists, and data-center construction, while outplacement firms tracked only about 12,700 jobs lost specifically to AI automation during the same period.

👥 Who's Most at Risk?

The disruption isn't evenly distributed:

🏭 Historical Perspective: This Pattern Isn't New

Context from past technological revolutions supports cautious optimism. Some economists consider it likely that job losses will be offset by increased demand for labour in existing occupations and creation of new jobs, in line with previous automation waves — for instance, more than 60% of employment in 2018 was in jobs with titles that did not exist in 1940. However, other economists emphasize that the future effects of general-purpose AI systems on job markets is very difficult to predict, and could lead to a substantial reduction in the value of human labour compared with capital.

💡 Bottom Line

The honest answer: AI will likely create more total jobs than it destroys globally in aggregate — but the transition will be turbulent, unevenly distributed, and painful for specific groups (especially entry-level white-collar workers) even as new categories of work emerge elsewhere. The "net positive" story depends heavily on effective reskilling and how quickly labor markets can match displaced workers to new roles.