Will AI create or take away more job opportunities?

The Short Answer: It's Complicated — Most Research Points to a Net Gain, But With Major Caveats

There's no single, settled answer — but the weight of recent large-scale research leans toward net job creation globally, while displacement is concentrated and painful for specific roles and workers.

The Case for "More Jobs Created"

World Economic Forum (Future of Jobs Report 2025/2026): The most-cited projection comes from WEF surveys of over 1,000 companies. the World Economic Forum's Future of Jobs Report 2025, predicts that mainly due to technological changes, this decade will see the creation of 170 million new jobs, offset by the displacement of 92 million positions, resulting in a net increase of 78 million jobs. However, this comes with a reality check: by 2030, AI and related technologies will create approximately 170 million new roles globally while displacing roughly 92 million existing ones. The net positive of 78 million jobs sounds reassuring until you realize those numbers describe entirely different people. The workers losing roles are not automatically the ones filling the new ones.

Recent firm-level data (2026): A new study tracking AI spending across over 21,000 U.S. companies found that top AI spenders grew total headcount 10% and entry-level employment 12% over two years, while low adopters saw virtually no change. But researchers caution: that raises an obvious question: is AI creating the hiring, or are fast-growing companies simply adopting AI because they are already expanding? The researchers acknowledge they cannot fully separate those effects.

Academic research (Yale/Northwestern/MIT, 2026): A detailed study found that demand for some occupations that were heavily exposed to AI did decrease. At the same time, other occupations exposed to AI actually grew, seemingly because AI made those workers more effective. And overall, the researchers found, firms using AI ultimately became more productive and were able to expand their workforces. The conclusion: AI shifted the kinds of jobs on offer, while task reallocation and growth at AI-adopting firms offset much of the decline in demand for more-exposed occupations.

Harvard Business School research: Analyzing nearly all U.S. job postings from 2019 to March 2025, the study shows that openings for routine, automation-prone roles fell 13% after ChatGPT's debut, while demand for more analytical, technical, and creative jobs grew 20%.

The Case for Caution — Displacement Is Real and Concentrated

McKinsey Global Institute (October 2026): This is the most sobering recent report. AI and automation will cut demand for about 36 million U.S. jobs by 2035 while growth elsewhere creates about 41 million, according to a new report from the McKinsey Global Institute. The real problem isn't total numbers — it's transition: only one in seven displaced workers has a direct path to a growing job, and most new work in healthcare and construction can't be done remotely. As the researchers put it, "The next decade's challenge is mobility, not scarcity." In the near term, in its base case, about 11 million workers, roughly 7% of the workforce, would need to leave their occupations entirely.

S&P Global (2026): Current survey data shows the trend tilting negative recently: among large enterprises, the trend shifted toward job losses from AI over the past year: In the latest survey, the proportion reporting AI-related job reductions was 8 points higher than the share reporting gains.

BCG: Rather than framing this as pure creation vs. destruction, BCG emphasizes transformation: task automation doesn't equal job loss. Most roles will remain—but will change substantially. Our microeconomic model reveals that over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI.

What Workers Themselves Believe

Public sentiment is notably more pessimistic than the research: survey data found that 60% of workers believe AI will eliminate more jobs than it creates in the year ahead, showing strong expectations of net job loss across industries, and only 4% believe AI will create more jobs than it eliminates, showing very limited optimism about net job growth.

Bottom Line

Most rigorous economic modeling (WEF, McKinsey, academic studies) projects net positive job numbers globally over the next decade, but:

So: more jobs in aggregate, likely — but a rough and uneven ride for the people whose current jobs get automated away.