Will AI create or take away more job opportunities?

Will AI be a job creator or job killer? I'll review the latest research on how automation is reshaping employment.

On balance, most major forecasts say AI will create more jobs than it eliminates in aggregate — but the transition will be disruptive, uneven, and painful for workers in automatable roles.

1. What the headline numbers say: net creation

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

> The World Economic Forum’s Future of Jobs Report 2025 estimates that by 2030, AI and automation will displace around 92 million jobs globally, while creating 170 million new ones. That’s a net gain of 78 million jobs

Other summaries of the same report phrase it as:

> AI and other information processing technologies will transform 86% of businesses, sparking the creation of 170 million new roles worldwide while making 92 million existing jobs redundant

> AI will displace 92 million jobs by 2030 — and create 170 million new ones

When the WEF isolates AI and information-processing technologies specifically, it is more narrow:

> When the report looks specifically at AI and information-processing technologies, it projects about 11 million jobs created and 9 million jobs displaced by 2030. That means AI is expected to create a net increase of about 2 million jobs

The report itself warns that broader figures cover several forces — technological change, demographic shifts, economic and other factors — and it would be misleading to say “AI will create 170 million jobs” alone.

Other forecasters agree on net creation after displacement:

•McKinsey Global Institute (U.S. focus): AI and automation will cut demand for about 36 million U.S. jobs by 2035 while growth elsewhere creates about 41 million

•Gartner: AI will create more jobs than it eliminates starting in 2028, with “AI is ultimately going to result in more job gains than losses, but in the process it’s going to break down millions of careers”

•Historical pattern: McKinsey points out that 60% of today's U.S. workforce is employed in occupations that simply did not exist in 1940 — the ATM did not eliminate bank tellers, spreadsheet software did not eliminate accountants.

2. Why it will still feel like jobs are being taken away

a) Large exposure, even if not immediate loss

•IMF 2024 analysis: AI will affect 40% of global jobs, with advanced economies facing 60% exposure

•The report estimates that AI technologies could affect almost 40% of jobs worldwide. In advanced economies like the United States and Western Europe, about 60% of jobs may be influenced by AI

•OECD estimates AI could automate up to 27% of jobs in OECD countries

IMF Managing Director Kristalina Georgieva described AI as a "slow-moving tsunami" already reshaping employment, expected to augment, downgrade or eliminate around 40% of jobs globally.

> AI is being integrated into businesses around the world at remarkable speed, underscoring the need for policymakers to act

> Historically, automation and information technology have tended to affect routine tasks, but one of the things that sets AI apart is its ability to impact high-skilled jobs

b) Displacement is concentrated

•In McKinsey's base case, about 11 million workers, roughly 7% of the workforce, would need to leave their occupations entirely

•The shrinking jobs are concentrated in office and administrative support, retail, and transportation, much of it lower-paid work. Lower-wage workers are 7.6 times as likely as higher-wage workers to need a new occupation

•Most at risk are routine, repetitive cognitive work: telemarketers (99% automation probability), data entry keyers (99%), insurance underwriters (98%), and loan officers (98%)

Meanwhile job growth is in healthcare, construction, and management.

c) Companies are already adjusting headcount

•40% of employers expect to reduce headcount in areas where AI can automate tasks, but 77% plan to upskill their workforce rather than simply cut it

•Only one in seven displaced workers has a direct path into a growing job, meaning one that needs little retraining and pays at least as much. Nearly half face what the report calls an “unpaved” path

3. The nuance: tasks vs. jobs, augmentation vs. replacement

Research consistently stresses that AI replaces tasks, not whole jobs:

> McKinsey’s analysis... could theoretically automate 57% of current U.S. work hours. Not 57% of jobs — work hours

PwC’s 2025 Global AI Jobs Barometer (close to a billion job ads) found in industries most exposed to AI, productivity growth has nearly quadrupled since 2022: from 7% between 2018–2022 to 27% between 2018–2024, with:

> Jobs requiring AI skills command a 56% wage premium. AI-exposed roles are growing 3.5x faster

And:

> The jobs most likely to be “disrupted” by AI are also the ones growing fastest and paying the most

MIT Sloan and McKinsey argue AI is more likely to complement human workers than replace them, identifying five uniquely human capability groups: empathy, presence, opinion and judgment, creativity, and hope

4. Bottom line

•Net numbers: Create > Destroy (WEF: +78m globally by 2030, McKinsey: +5m net in U.S. by 2035, WEF AI-specific: +2m net)

•Short-term reality: Millions will need to change occupation, retrain, or relocate. The next decade’s challenge is mobility, not scarcity, but 770,000 people a year would need to make that kind of switch, roughly 3.6 times the historical average

•Inequality risk: The IMF worries this could make the rich richer and the poor poorer unless governments figure out how to help, with younger, highly educated, high-income workers benefiting more, while older workers in routine jobs face vulnerability

So AI is not a simple job killer or job creator. It is expected to take away many existing routine jobs while creating even more new jobs — often requiring different skills, credentials (about 85% of growing jobs require a credential), and physical presence (about 76% of growing jobs can’t be done remotely).

The workers most resilient are those who combine AI literacy with judgment, social skills, and adaptability — healthcare/caregiving, skilled trades, complex leadership, and creative/strategic roles. The threat, researchers note, isn’t AI itself but “humans who know how to use AI competing against humans who don’t”.

Citations (3)

1jinn.careersNot yet classified
AI Is Coming For Your Job - But Probably Not The Way You Think | Jinn
Backs: “The World Economic Forum’s Future of Jobs Report 2025 estimates that by 2030, AI and automation will displace around 92 million jobs globally, while creating 170 million new ones.”
2alphaleaders.co.ukNot yet classified
McKinsey: AI will create more jobs than it kills — after destroying 11 million
Backs: “The report itself warns that broader figures cover several forces — technological change, demographic shifts, economic and other factors — and it would be misleading to say “AI will create 170 million jobs” alone. Other forecasters agree on net creation after displacement: McKinsey Global Institute (U.S. focus): AI…”
3peoplematters.inNot yet classified
AI set to affect nearly 40% of global jobs: IMF
Backs: “IMF 2024 analysis: AI will affect 40% of global jobs, with advanced economies facing 60% exposure. The report estimates that AI technologies could affect almost 40% of jobs worldwide.”