Will AI create or take away more job opportunities?

Will AI reshape the job market? I'll hunt down the latest research on whether it nets gains or losses.

Short answer: Both. AI will take away tens of millions of jobs AND create tens of millions more.

Most major forecasts project a net gain globally by 2030, but with massive disruption and uneven distribution - so whether you experience job creation or job loss depends heavily on your role, skills, and location.

1. What the major forecasts say: Net creation, but huge churn

•World Economic Forum Future of Jobs Report 2025: 92 million roles displaced and 170 million created globally by 2030 — a net gain of 78 million jobs. The same figures are cited as resulting in a net gain of 78 million jobs worldwide.

An earlier WEF forecast for 2025 was similar: AI might eliminate 85 million jobs but create 97 million new ones, resulting in a net gain of 12 million jobs.
The fine print matters: the 92 million displaced are disproportionately clerical and administrative workers with limited reskilling options, while the 170 million created skew toward technical roles requiring advanced training.

•McKinsey Global Institute (US focus): AI and automation will cut demand for about 36 million U.S. jobs by 2035 while growth elsewhere creates about 41 million. That is a net gain of about 5 million, but the authors note it’s getting workers into them that’s the problem - with 11 million Americans may need new careers.

•Goldman Sachs: Up to 300 million jobs globally could be exposed to AI automation over the next decade and separately Goldman Sachs estimates 300 million jobs are exposed to automation. Goldman measures the current real impact as approximately 16,000 net U.S. job losses per month from AI displacement — roughly 25,000 positions eliminated through AI substitution each month, partially offset by about 9,000 added through AI augmentation.

•Other pessimistic models for the US:

•Forrester forecasts a net loss of 6.1% of US jobs (10.4 million positions) by 2030

•PwC puts 30% of US jobs at risk by the mid-2030s

Why forecasts differ: "Exposed" does not mean "eliminated". The IMF distinguishes between occupations where AI could complement employees and improve productivity and those where it could replace tasks.

2. How exposed is the labor market?

•IMF research in January 2024 found approximately 40% of global jobs are exposed to AI.

•IMF Managing Director Kristalina Georgieva described AI as a “slow-moving tsunami” that could eventually affect around 40% of jobs worldwide and approximately 60% in advanced economies. More detail: The exposure is greater in advanced economies, where around 60 percent of jobs could be affected because a larger proportion involves cognitive tasks. Emerging market economies have an estimated exposure of 40 percent, compared with 26 percent in low-income countries. This does not mean all those positions will disappear.

80% of all jobs will be affected by AI in some way but only around 15% could be eliminated entirely, according to OpenAI/University of Pennsylvania cited in the report. BCG found 50% to 55% of US jobs will be reshaped by AI in the next 2-3 years, not eliminated.

Historical precedent suggests transition creates jobs long-term: McKinsey noted historical technology transitions have consistently generated more jobs than they eliminated, with 60% of today’s U.S. workforce employed in occupations that simply did not exist in 1940.

3. Who loses and who gains - distribution is the key

Even with net gains, losses are concentrated:

•Entry-level / young workers: Employment for software developers aged 22 to 25 has fallen nearly 20% since 2024 in most AI-exposed sectors. Singapore’s president warned that the first rung in employment, your first job upon graduation, is now seeing less demand, particularly in the most AI-exposed sectors where employers automate junior work.

•Women: 79% of employed women work in occupations highly exposed to AI-driven disruption, compared to 58% of men, because they are overrepresented in clerical and administrative roles.

•Repetitive, rules-based roles: Data entry, administrative assistance, telemarketing, auditing/accounting face 57-75% of tasks automated, according to compiled data.

•Winners / new jobs: Fastest growth projected for:

Data science and analysis 71%, AI and machine learning specialists 58%, cybersecurity experts 57%, plus roles in building power and data center infrastructure for AI. Workers with AI skills earn a 56% wage premium compared to peers without AI skills.

4. Why public perception is more pessimistic

Despite net-positive forecasts, in 34 of the 37 countries surveyed, more people expect AI to eliminate jobs than create them over the next 20 years. In the United States, 71 percent of adults told Pew that AI will lead to fewer jobs over the next twenty years.

That gap reflects the churn: WEF projects structural labor-market churn will affect 22% of total jobs globally - meaning even if new jobs exist, moving from a displaced clerical job to a new AI-adjacent job requires retraining that many workers cannot yet count on.

MIT CSAIL also found AI is currently only economically viable in around 23% of roles, but that number is climbing as costs drop.

5. Bottom line: Will AI create or take away MORE?

•In raw numbers globally by 2030, major institutions expect MORE created than destroyed (+78 million net per WEF).

•In the short-term and for specific groups, MORE will be taken away or transformed before many can benefit. Goldman’s measured net drag of ~192,000 net positions disappearing per year in the US alone shows displacement is already underway.

•Long-term, the net effect depends on: reskilling speed, AI preparedness (North America scores 0.74 vs Low-Income Countries 0.32 on IMF preparedness), and whether AI primarily complements vs substitutes workers.

> Like other technological revolutions before it, the age of AI may ultimately create more jobs than it destroys — but it will reshape many more jobs than it replaces, and transition costs will be high for those not retrained.

How to prepare as a worker:

1.Learn to work with AI - AI skill premium and complementarity protect jobs more than competing against AI.

2.Focus on human-centric skills WEF expects to rise: creative thinking, resilience, flexibility, plus healthcare, skilled trades, and AI oversight roles that show 0.0% automation risk.

3.Expect tasks to change even if title stays - 50-55% of US jobs will be reshaped, only 10-15% fully replaced in the next 5 years.

Citations (2)

1piktochart.comCompanies
How Many Jobs Will AI Replace by 2030?
Backs: “World Economic Forum Future of Jobs Report 2025: 92 million roles displaced and 170 million created globally by 2030 — a net gain of 78 million jobs.”
2hrreview.co.ukNot yet classified
IMF warns AI could transform 40 percent of jobs worldwide
Backs: “PwC puts 30% of US jobs at risk by the mid-2030s. Why forecasts differ: "Exposed" does not mean "eliminated". The IMF distinguishes between occupations where AI could complement employees and improve productivity and those where it could replace tasks.”