Artificial intelligence (AI) is rapidly transforming the U.S. job market, sparking widespread conversations and concerns about AI and job loss, AI taking jobs, and how many jobs AI will replace. This statistical roundup compiles the latest data and trends on AI replacing jobs, job loss statistics, and the broader impact of artificial intelligence on employment.
30% of current U.S. jobs could be automated by 2030
By 2030, 30% of current U.S. jobs could be fully automated, while 60% will see significant task-level changes due to AI integration. This shift highlights the urgent need for workers to adapt through upskilling and technological proficiency.
General AI Impact on the U.S. Job Market
AI is accelerating automation across sectors, with profound implications for employment in the United States. From job losses and workforce reductions to shifting career paths and retraining needs, these statistics outline the scale and speed of AI’s disruption.
- 30% of current U.S. jobs could be automated by 2030; 60% will have tasks significantly modified by AI.
- 300 million jobs could be lost to AI globally, representing 9.1% of all jobs worldwide.
- 23.5% of U.S. companies have replaced workers with ChatGPT or similar AI tools.
- 49% of companies using ChatGPT say it has replaced workers.
- In May 2023, 3,900 U.S. job losses were directly linked to AI, making it the seventh-largest eliminator of jobs that month.
- 13.7% of U.S. workers report having lost their job to a robot or AI-driven automation.
- Since 2000, automation has resulted in 1.7 million U.S. manufacturing jobs lost.
- 40% of employers expect to reduce their workforce where AI can automate tasks.
- By 2030, 14% of employees globally will have been forced to change their career because of AI.
- 20 million U.S. workers are expected to retrain in new careers or AI use in the next three years.
- 30% of U.S. workers fear their job will be replaced by AI or similar technology by 2025.
- Automating half of current tasks worldwide could take another 20 years.
- Entry-level jobs are especially vulnerable, with nearly 50 million U.S. jobs at risk in coming years.
- As entry-level roles decline, salary expectations are also shifting downward.
- AI could impact nearly 60% of jobs in advanced economies, but only 26% in low-income countries.
- AI’s impact is expected to be most disruptive in the next 10–30 years, with a possible 50% of jobs automated by 2045.
Which Jobs Will Thrive?
While many jobs face automation, certain roles are expected to flourish in the AI era. These statistics highlight occupations projected to grow, including those in technology, healthcare, skilled trades, and emerging AI-related fields. This section also explores why some jobs are more resilient to automation and the new opportunities created by AI adoption
- Software developers are projected to see a 17.9% increase in employment from 2023 to 2033.
- Job postings for entry-level software engineers grew 47% between October 2023 and November 2024.
- The share of jobs in STEM fields grew from 6.5% in 2010 to nearly 10% in 2024, an almost 50% increase
- Installation, repair, and maintenance jobs are at lower risk from AI and remain in demand.
- Construction and skilled trades are among the least threatened by AI automation.
- Personal services (e.g., food service, medical assistants, cleaners) are less likely to be replaced by AI and have rebounded post-pandemic, with food preparation and serving jobs expected to add over 500,000 positions by 2033 as in-person services remain essential.
- Healthcare roles (nurses, therapists, aides) are projected to grow as AI augments rather than replaces these jobs; for example, nurse practitioners are projected to grow by 52% from 2023 to 2033, much faster than the average for all occupations.
- AI and data science specialists are among the fastest-growing job categories in 2025.
- Cybersecurity professionals are in growing demand due to increased digital threats with a 32% growth in information security analyst jobs from 2022 to 2032, far outpacing the average for all occupations.
- Renewable energy technicians (solar, wind) are projected to see double-digit growth rates, with solar photovoltaic installers expected to grow by 22% and wind turbine technicians by 44% from 2022 to 2032.
- AI trainers, ethicists, and explainability experts are emerging roles created by AI adoption.
- AI support roles (prompt engineers, AI operations) are new job types with rapid growth.
- Personal financial advisors will likely continue to see strong employment growth despite AI, with the BLS projecting a 13% increase in jobs from 2022 to 2032, as clients continue to value human expertise for complex financial decisions.
Which Jobs Will Disappear?
Not all roles will survive the AI revolution. This section details the occupations most vulnerable to automation, from clerical and administrative positions to routine manufacturing and customer service jobs.
- Clerical and administrative roles (secretaries, data entry clerks) are among the first to be automated.
- Bank tellers and cashiers are seeing rapid declines as digital banking and self-checkout expand. Employment of bank tellers is projected to decline by 15% from 2023 to 2033, eliminating about 51,400 jobs, while cashier employment is projected to decline by 11% (a reduction of 353,100 jobs) over the same period
- Routine manufacturing jobs: 1.7 million lost since 2000 due to automation.
- Telemarketers and call center agents are increasingly replaced by AI-driven chatbots.
- Medical transcriptionists’ employment is projected to decline by 4.7% from 2023 to 2033.
- Customer service representatives’ employment is projected to decline by 5.0% from 2023 to 2033.
- Credit analysts’ employment is projected to decline by 3.9% from 2023 to 2033.
- Low-paid service work has seen flat or declining employment since 2019, with AI cited as a contributing factor.
Education and Skills for Future-Proof Careers
As AI transforms the nature of work, the demand for new skills is rising sharply. The skillsets required for job security and advancement are evolving with the growing importance of technological literacy, human-centric abilities, and lifelong learning.
- 39% of key job skills in the U.S. are expected to change by 2030, down from 44% in 2023.
- 59% of workers will require upskilling or reskilling by 2030.
- Technological skills are projected to grow in importance faster than any other skill category over the next five years.
- Eight of the top ten most requested skills in U.S. job postings are durable (human) skills.
- Communication, leadership, metacognition, critical thinking, collaboration, and character skills each appear in ~15 million U.S. job postings annually.
- 66% of all tasks in 2030 will still require human skills or a human-technology combination.
- Employers expect creative thinking, resilience, flexibility, and agility to rise sharply in importance by 2030.
- Analytical thinking, curiosity, and lifelong learning are among the top 10 skills on the rise for future jobs.
- Data literacy is now considered “the new workplace currency” and is critical across all major U.S. industries, as businesses must interpret and act on an estimated 182 zettabytes of data by 2025.
- AI and machine learning skills are increasingly fundamental, not just for tech workers but for all professionals.
- Cybersecurity and technological literacy are among the fastest-growing skill demands in the U.S. job market.
- Project management and UX design are among the most recommended upskilling paths for U.S. workers in 2025.
- Lifelong learning and upskilling are now a top priority for 75% of U.S. employers.
Impact by Generation
AI’s influence on employment is not uniform across age groups. This section explores how different generations are experiencing and responding to AI-driven changes, with a focus on the heightened vulnerability of younger workers, shifting attitudes toward education, and generational trends in upskilling and workforce participation.
- Workers aged 18–24 are 129% more likely than those over 65 to worry AI will make their job obsolete.
- 49% of Gen Z job seekers believe AI has reduced the value of their college education.
- Entry-level jobs, disproportionately filled by young workers, are especially at risk, with nearly 50 million U.S. jobs affected.
- 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.
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
- 79% of employed women in the U.S. work in jobs at high risk of automation, compared to 58% of men.
- Globally, 4.7% of women’s jobs face severe disruption potential from AI, versus 2.4% for men.
- In high-income nations, 9.6% of women’s jobs are at highest risk for AI automation, compared to 3.2% for men.
- Women are underrepresented in AI and STEM fields, limiting access to new, high-paying tech jobs created by AI.
- AI in HR and recruitment could help reduce gender bias if designed carefully, but may also perpetuate or worsen bias if algorithms are not transparent and inclusive.
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.
The data makes one thing clear: preparing for the future of work requires adaptability. Individuals who invest in upskilling, embrace lifelong learning, and build resilience will be better positioned to thrive in an AI-influenced economy. At the same time, institutions and employers must focus on equitable access to education and training to ensure that all generations and all communities can benefit from the opportunities AI brings.
Artificial intelligence is not just replacing jobs, it’s redefining them. Understanding these trends is the first step in preparing for what’s ahead.
Sources
- U.S. Bureau of Labor Statistics
- World Economic Forum Future of Jobs Report
- McKinsey Global Institute
- Pew Research Center
- National Bureau of Economic Research
- OECD Skills Outlook
- LinkedIn Jobs on the Rise 2025
- National Center for Women & Information Technology
- National University Blog
- Harvard Gazette: “Is AI already shaking up labor market?” (2025)
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