AI Job Displacement

Impact by Gender

Women disproportionately represented in roles at high risk of automation

Nature of Impact

Automation of repetitive and routine tasks, changing skill requirements, job displacement, creation of new job opportunities, increased productivity and output

Impact on Younger Workers

Workers aged 18–24 are 129% more likely than those over 65 to worry about AI; entry-level jobs (disproportionately filled by young workers) are especially at risk

Occupations at Least Risk (Goldman Sachs)

Air traffic controllers, chief executives, radiologists, pharmacists, residential advisors, photographers, members of the clergy

Occupations at Highest Risk (Goldman Sachs)

Computer programmers, accountants and auditors, legal and administrative assistants, customer service representatives, telemarketers, proofreaders and copy editors, credit analysts

Current Displacement Rate (National University)

14% of all workers have already been displaced by AI

Goldman Sachs Baseline Job Displacement Estimate

6-7% of jobs

Goldman Sachs Variable Job Displacement Estimate

3% to 14% of jobs

Time to automate half of worldwide work tasks (McKinsey)

At least 20 years

Projected Net Job Gain by 2030 (2025 Future of Jobs report)

78 million new jobs

Projected Global Job Creation by 2025 (World Economic Forum)

133 million new jobs

Projected Net Global Job Gain by 2025 (World Economic Forum)

58 million jobs

Projected Job Displacement by 2030 (2025 Future of Jobs report)

92 million roles

Projected Global Job Displacement by 2025 (World Economic Forum)

75 million jobs

Percentage of US workers at risk of losing jobs to automation (CEPR)

47%

Percentage of workers fearing AI will make job obsolete (SurveyMonkey/CNBC)

24%

Percentage of workers expecting AI to significantly change job in 5 years (Survey Monkey)

43%

2025-XX-XX

2025-XX-XX

According to a report by the World Economic Forum, by 2025, AI will have displaced 75 million jobs globally, but will have created 133 million new jobs. This means that there will be a net gain of 58 million jobs globally, but there will still be significant job displacement in certain industries. [...] is changing the job market, creating new types of jobs while automating routine tasks. With 20-50 million new jobs expected by 2030, AI is creating and enhancing jobs in healthcare, pharmaceuticals and other industries. While some industries may experience significant job displacement, the economy is expected to benefit from increased productivity and output. As AI continues to evolve, understanding its impact on employment and the economy is crucial. [...] AI’s impact on the workforce is multifaceted. It involves the automation of repetitive and routine tasks, changing skill requirements, and job displacement. This can be beneficial for employees as it frees them up to focus on more complex and creative work, but it can also create concerns about job displacement and changes in the demand for certain types of jobs. However, AI is also creating new job opportunities, especially in data analytics, machine learning, and AI development.

As part of their research, the team examined more than 800 occupations to assess whether AI productivity gains will translate into job displacement. The 6-7% estimate for job displacement from AI is the team’s baseline assumption, but they write that displacement rates could vary from 3% to 14% under different assumptions. What could AI mean for unemployment? [...] They conclude that occupations at the highest risk of being displaced by AI in the coming years include computer programmers, accountants and auditors, legal and administrative assistants, customer service representatives, telemarketers, proofreaders and copy editors, and credit analysts. Those at the least risk of being displaced are air traffic controllers, chief executives, radiologists, pharmacists, residential advisors, photographers, and members of the clergy. [...] “A recent pickup in AI adoption and reports of AI-related layoffs have raised concerns that AI will lead to widespread labor displacement,” Joseph Briggs, who co-leads the Global Economics team in Goldman Sachs Research, and economist Sarah Dong, write in a report. “While these trends could broaden as adoption increases, we remain skeptical that AI will lead to large employment reductions over the next decade.”

Another response to AI-driven job displacement could be occupational switching. That is, maybe we don’t see rising unemployment or falling participation among highly exposed workers because they’re changing careers into less exposed occupations. Maybe computer programmers are becoming ballerinas. [...] Importantly, _this measure is agnostic as to whether AI is a complement or substitute to workers_, meaning that higher exposure could indicate increased productivity or a higher risk of job displacement. II. The second AI measure we consider was developed by Eloundou et al. (2024). The authors use a rubric to determine whether a specific task is exposed to AI. That rubric classifies tasks based upon whether generative AI would reduce the time required for a human to perform a specific task. [...] This also highlights why it matters that our AIOE measure does not distinguish between AI exposure that displaces workers and exposure that augments them. The high-skilled worker, in our example, might use AI to conduct the tasks previously done by the low-skilled workers. Aided by AI, high-skilled workers might have broader roles and work in smaller teams.

Image 10 Impact by Gender The impact of AI on jobs also varies by gender, with women disproportionately represented in roles at high risk of automation. These statistics analyze the gendered effects of AI-driven job displacement, the challenges of underrepresentation in tech fields, and the potential for AI to both mitigate and exacerbate workplace inequalities [...] Conclusion The rise of artificial intelligence is reshaping the U.S. job market with speed and scale. As shown in these 59 AI job statistics, AI is not only displacing certain roles but also creating new opportunities that demand advanced technical skills, human-centered abilities, and continuous learning. While jobs in areas like administration and manufacturing face growing risks, professions in healthcare, technology, skilled trades, and AI itself are projected to expand. [...] 1. Workers aged 18–24 are 129% more likely than those over 65 to worry AI will make their job obsolete. 2. 49% of Gen Z job seekers believe AI has reduced the value of their college education. 3. Entry-level jobs, disproportionately filled by young workers, are especially at risk, with nearly 50 million U.S. jobs affected. 4. 14% of all workers have already been displaced by AI, but the rate is higher among younger and mid-career workers in tech and creative fields.