How Many Jobs Will AI Replace by 2030?

By 2030, an estimated 92 million jobs will be displaced globally, according to the World Economic Forum.

But the full picture is more nuanced. Goldman Sachs estimates up to 300 million jobs worldwide could be exposed to AI automation, while PwC puts 30% of US jobs at risk by the mid-2030s. Forrester forecasts a net loss of 6.1% of US jobs (10.4 million positions) by 2030.

At the same time, the WEF projects that 170 million new roles will emerge in the same period, resulting in a net gain of 78 million jobs worldwide. 

The story is more than just numbers on job displacement. It is about which jobs could be subjected to change in a short span of time, which will disappear entirely, and where the new job market opportunities are.

Report Highlights

• 300 million jobs globally could be exposed to AI automation over the next decade (Goldman Sachs)
• 92 million existing jobs will be displaced by 2030, but 170 million new roles will be created – a net gain of 78 million jobs (WEF, Future of Jobs 2025)
• 30% of current US jobs could be fully automated by the mid-2030s (PwC)
• 6.1% of US jobs (10.4 million positions) will see a net loss by 2030 due to AI and automation (Forrester)
• 85 million jobs were projected to be displaced by 2025, with 97 million new jobs created (WEF, Future of Jobs 2020)
• 50% to 55% of US jobs will be reshaped (not eliminated) by AI in the next 2-3 years (BCG)
• 80% of all jobs will be affected by AI in some way (OpenAI/University of Pennsylvania)
• 79% of employed women work in occupations highly exposed to AI-driven disruption, compared to 58% of men (OECD / Center for American Progress)
• Workers with AI skills earn a 56% wage premium compared to peers without AI skills (PwC)

By 2030, AI and automation could displace 92 million jobs globally, according to the World Economic Forum’s Future of Jobs Report 2025. However, the same report forecasts that 170 million new roles will emerge, resulting in a net gain of 78 million jobs worldwide.

Forrester takes a more conservative view, projecting a net loss of 6.1% of US jobs by 2030, equating to 10.4 million positions. To put that in context, the US lost 8.7 million jobs during the Great Recession. Meanwhile, Forrester notes that generative AI now accounts for 50% of all automation-driven job losses, up from just 29% in earlier forecasts.

PwC’s analysis of over 200,000 workers across 29 OECD (Organisation for Economic Co-operation and Development) countries found the risk of automation varies sharply by sector: transportation and storage faces the highest exposure (52% of jobs), while education is significantly lower (8%).

AI is most likely to replace roles that rely heavily on repetitive, rules-based tasks. Administrative, clerical, and data entry positions face the highest risk. According to research compiled by ElectroIQ using Goldman Sachs and IMF data, here are the sectors facing the greatest displacement pressure:

Marketing and content roles such as copywriting, graphic design, and translation also face high risk, while tech positions like coding and QA testing carry a comparatively lower risk of full displacement according to ElectroIQ, though DWU Consulting places junior software engineers at 80–95% risk exposure.

In 2025, only 4.5% of all job losses were directly linked to AI, according to Challenger, Gray and Christmas data, showing that while displacement is underway, the scale remains relatively small so far.

Meta has laid off around 10% of its workforce, citing increased investment in AI and automation. Companies like Microsoft, IBM, Klarna, eBay, UPS, and Dell have made similar moves. However, Forrester notes that when they ask clients whether they have “mature, vetted AI applications ready to fill those roles,” nine out of ten times the answer is no.

Goldman Sachs also points out that, as yet, no significant AI-led changes in the employment mix across the whole US economy have shown up in labor data. The displacement is real but still early-stage.

It depends on what you do. In nearly half (49%) of all occupations, AI is already being used to handle at least a quarter of the tasks involved, according to Anthropic’s Economic Index. The tasks AI does best are considered important or very important in around 77% of all jobs, which raises the question of displacement for many roles.

BCG’s analysis of 165 million jobs across 1,500 roles found that 50% to 55% of US jobs will be reshaped by AI in the next two to three years. But reshaping doesn’t mean replacing. For most workers, it means the same title with different expectations: tasks will change, workflows will evolve, and output will look different.

Employers believe that up to 42% of their workers’ tasks could be completely automated by 2027, with AI job exposure scores growing by 9% every year. The OpenAI/University of Pennsylvania study estimates that 80% of all jobs will be affected by AI in some form, but only around 15% of US jobs could be eliminated entirely.

AI’s impact is not distributed equally. According to OECD and Center for American Progress research, 79% of employed women work in occupations highly exposed to AI-driven disruption, compared to 58% of men. The ILO (International Labour Organization) points to three drivers:

• Women are overrepresented in clerical and administrative roles (secretaries, office clerks, receptionists) that are most automatable
• Women are underrepresented in STEM and AI-related occupations
• AI systems themselves often reflect existing gender biases

Young workers are over 129% more likely to fear their job will disappear than older workers.

Even highly educated, urban professionals are not immune. They are often the same people who use AI tools most frequently, which means their roles face both augmentation and potential displacement. Workers without AI skills risk falling behind, with those who do learn AI tools earning a 56% wage premium according to PwC’s 2025 Global AI Jobs Barometer.

PwC’s research across OECD countries shows that workers without a graduate degree face significantly higher automation risk.

Geographically, North America leads with the highest AI Preparedness Index score (0.74), while low-income countries (0.32) and Sub-Saharan Africa (0.34) are most vulnerable.

Source: IMF AI Preparedness Index, 2026

The US Career Institute has identified 65 positions with a 0.0% chance of being automated. These roles were evaluated based on the knowledge, skills, abilities, and activities required to perform them. Among the safest roles:

• Nursing and nurse practitioning (demand projected to grow 45.7% by 2031)
• Physician assistance (demand set to grow 27.6%)
• Mental health counseling
• Physical and occupational therapy
• Athletic training
• Marriage and family therapy
• Art and music therapy
• Healthcare social work
• Choreography
• Bioengineering
• Soil and plant science

The World Economic Forum projects that 170 million new jobs will be created globally by 2030, resulting in a net positive of 78 million positions after accounting for the 92 million displaced.

Goldman Sachs notes that while AI could displace between 1 million and 4 million jobs per year, it will likely create far more than it cuts. The firm highlights that job creation will be concentrated in the buildout of power and data center infrastructure needed to sustain the AI boom, as well as in entirely new categories of work that don’t yet exist.

Gfoundry’s report identified roles that will see the strongest job opportunity growth by 2027:

Source: Gfoundry, Preparing for the Future of Work: Trends in Job Market 2030

PwC’s 2025 Global AI Jobs Barometer found that industries more exposed to AI are posting up to 3x more growth in revenue per worker. Wages are rising twice as fast in industries with high AI exposure, and workers with AI skills stand to gain a 56% wage premium compared to their peers.

BCG’s analysis is clear: AI will reshape between 50% and 55% of US jobs over the next two to three years. Reshaping means workers keep their jobs but see their daily tasks, tools, and workflows change significantly. Only 10% to 15% of US jobs could actually be replaced by AI over the next five years.

AI job exposure scores are growing by 9% every year, hinting at rapidly improving capabilities. MIT has found that AI is currently only economically viable in around 23% of roles, but that number is climbing as costs drop and capabilities increase.

Agentic AI could enable “high levels” of task automation in up to 43% of roles according to BCG. Employers believe that up to 42% of their workers’ tasks could be completely automated by 2027. The shift is not sudden but steady, and workers who upskill in AI tools will be better positioned to adapt.

The data points to one consistent theme: workers who learn how to use AI tools will thrive, while those who don’t risk falling behind. PwC reports that workers with AI skills earn a 56% wage premium. The World Economic Forum’s surveyed companies expect creative thinking, resilience, flexibility, and agility to rise sharply in importance by 2030.

The IMF’s AI Preparedness Index shows that regions with stronger digital infrastructure, human capital policies, and regulatory frameworks are better equipped to manage the transition. North America leads (0.74), while low-income countries lag behind (0.32).

AI is set to eliminate some jobs, reshape many more, and create entirely new categories of work. With the right investment in reskilling and infrastructure, this shift can lift wages, productivity, and opportunity, especially for workers who learn to use AI tools well.

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