AI job loss

Extracted Attributes

• Global Risk Estimate

  300 million jobs (9.1% of global workforce) at risk of replacement

• High-Risk Occupations

  Computer programmers, accountants, legal assistants, customer service representatives

• 2024 Job Creation vs Loss

  119,900 jobs created vs 12,700 jobs lost in the US

• Primary Technology Drivers

  Generative AI, Large Language Models (LLMs), and Transformer architecture

• Economic Impact (Goldman Sachs)

  Estimated 0.5 percentage point increase in unemployment during transition

• US Automation Projection (2030)

  30% of current US jobs could be automated

Timeline

• 3,900 U.S. job losses are directly linked to AI, making it the seventh-largest eliminator of jobs that month. (Source: National University Blog)

  2023-05-31

• Challenger, Gray, & Christmas estimates 12,700 U.S. jobs lost to AI throughout the year. (Source: ITIF Report)

  2024-12-31

• Final Round AI reports 77,999 tech job losses directly linked to AI in the first half of 2025. (Source: Exploding Topics)

  2025-06-01

• Projected date by which 30% of current U.S. jobs could be automated by AI. (Source: National University Blog)

  2030-01-01

Generative artificial intelligence

Generative artificial intelligence (Generative AI, or GenAI) is a subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data and use them to produce new data in response to input, which often comes in the form of natural language prompts. The prevalence of generative AI tools has increased significantly since the AI boom in the 2020s. This boom was made possible by improvements in deep neural networks, particularly large language models (LLMs), which are based on the transformer architecture. Major tools include LLM-based chatbots such as ChatGPT, Claude, Copilot, DeepSeek, Google Gemini and Grok; text-to-image models such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video models such as Veo and Sora. Technology companies developing generative AI include Alibaba, Anthropic, Baidu, DeepSeek, Google, Meta AI, Microsoft, Mistral AI, OpenAI, Perplexity AI, xAI, and Yandex. Generative AI has been adopted in a variety of sectors, including software development, healthcare, finance, entertainment, customer service, sales and marketing, art, writing, and product design. Generative AI has been used for cybercrime, and to deceive and manipulate people through fake news and deepfakes. Generative AI may lead to mass replacement of human jobs. The tools themselves have been described as violating intellectual property laws, since they are trained on copyrighted works. Many generative AI systems use large-scale data centers whose environmental impacts include e-waste, consumption of fresh water for cooling, and high energy consumption that is estimated to be growing steadily. Generative AI continues to evolve rapidly as new models and applications emerge.

Web Search Results

• How Will AI Affect the Global Workforce?

  If current AI use cases were expanded across the economy and reduced employment proportionally to efficiency gains, an estimated 2.5% of US employment would be at risk of related job loss. Occupations with higher risk of being displaced by AI include computer programmers, accountants and auditors, legal and administrative assistants, and customer service representatives. [...] But what about tomorrow? To help assess the risk of AI-related job loss across industries in the future, our researchers looked at factors such as task repetitiveness, the consequences of errors from AI tools, the connections between tasks, and the value of AI-exposed tasks compared to prevailing wages. [...] Despite concerns about widespread job losses, AI adoption is expected to have only a modest and relatively temporary impact on employment levels. Goldman Sachs Research estimates that unemployment will increase by half a percentage point during the AI transition period as displaced workers seek new positions.

• AI's Job Impact: Gains Outpace Losses

  Altogether, AI created about 119,900 direct jobs last year. In contrast, outplacement firm Challenger, Gray, & Christmas estimates that approximately 12,700 jobs were lost due to AI in 2024, far less than the number created by the technology. Additionally, that figure represents just 0.1 percent of all layoffs last year. (See Figure 1). Figure 1: U.S. jobs lost and gained from AI (2024, in thousands) [...] If the past 30 years are any indication, fears of mass displacement are misplaced. Job losses as a share of total employment have trended downward even as automation and digital tools have become more widespread. Taken together, the evidence tells a clear story: The employment gains from AI and the data center buildout dwarf the displacement effects from automation. Instead of hollowing out the workforce, AI is reshaping it, creating new job opportunities across the economy. [...] Skip to content # AI’s Job Impact: Gains Outpace Losses By Meghan Ostertag | December 18, 2025 It seems like pretty much all we hear about artificial intelligence (AI) is that it is destroying jobs. At least in 2024, that was not the case. In 2024, AI growth generated thousands of jobs, with estimates of more than 8,900 employees added to the U.S. economy to develop, train, and operate AI models, including machine learning engineers and data scientists.

• 60+ Stats On AI Replacing Jobs (2025) - Exploding Topics

  #### From January to early June 2025, 77,999 tech job losses were directly linked to AI (Final Round AI) Cuts at Amazon and Microsoft among others contributed to 491 people losing their jobs to AI every day. #### 40% of companies that are adopting AI are automating rather than augmenting human work (CNN) That's according to the CEO of AI giant Anthropic, who also notes that the ratio is moving further toward automation. [...] ### AI’s Potential Impact on the Job Market #### AI may replace 300 million jobs (Goldman Sachs via BBC) Image 3: undefined That represents 9.1% of all jobs worldwide. Potential job losses will not be evenly distributed across different sectors of the economy. Instead, they will likely be concentrated in the professions most vulnerable to being automated via generative AI tools (writing, photography, software development, etc.). [...] On the one hand, AI may well lead to widespread job losses. However, it’s already improving the work lives of millions of employees. On the other hand, AI is set to create hundreds of thousands of new jobs. And yet millions of people have already been replaced by robots. Regardless, as AI continues to advance and be adopted, its impact on the global workforce — positive or negative — will only increase. #### Stop Guessing, Start Growing 🚀

• [PDF] Preliminary Estimated Workforce Effects of Automation from AI

  estimates. Research from other sources (e.g., Eloundou et al., 2023; McKinsey, 2023) suggest higher exposure to task-automation, which, if true, would result in higher job loss and worker displacement (respectively, approximately 23m workers, ~15.6% of workforce; 22–52m workers, 15–35% of workforce). We do not currently believe that these are realistic estimates for job loss, because generative AI is neither flexible enough to occupy all social (human-to-human) aspects of work, nor is it [...] 1 Preliminary Estimated Workforce Effects of Automation from AI What are the expected employment effects (i.e., job loss) from AI-driven automation? Over what period of time should we expect these effects to play out? Roughly 1.6–3.2 million workers could lose their jobs over the next 20+ years, around 1–2% of total US employment via May 2022 OEWS. These are gross job losses, we expect many of these people will find new employment. (Details of calculation and alternative estimates on next page). [...] employment statistics, we estimate that roughly 12.8m workers, a little less than 10% (~8.7%) of the US labor force, are exposed to automation by Generative AI. Based on findings from manufacturing automation (Acemoglu and Restrepo, 2022), we conservatively estimate that 13-25% of these jobs could be lost over the next 20+ years. In short, ~1.6–3.2 million workers could lose their jobs, which corresponds to around 1–2% of total US employment using May 2022 OEWS Survey numbers. These are gross

• 59 AI Job Statistics: Future of U.S. Jobs | National University

  1. 30% of current U.S. jobs could be automated by 2030; 60% will have tasks significantly modified by AI. 2. 300 million jobs could be lost to AI globally, representing 9.1% of all jobs worldwide. 3. 23.5% of U.S. companies have replaced workers with ChatGPT or similar AI tools. 4. 49% of companies using ChatGPT say it has replaced workers. 5. In May 2023, 3,900 U.S. job losses were directly linked to AI, making it the seventh-largest eliminator of jobs that month. [...] 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 [...] 6. 13.7% of U.S. workers report having lost their job to a robot or AI-driven automation. 7. Since 2000, automation has resulted in 1.7 million U.S. manufacturing jobs lost. 8. 40% of employers expect to reduce their workforce where AI can automate tasks. 9. By 2030, 14% of employees globally will have been forced to change their career because of AI. 10. 20 million U.S. workers are expected to retrain in new careers or AI use in the next three years.