A LinkedIn analysis showing that artificial intelligence created 640,000 new U.S. jobs from 2023 to 2025 is challenging fears of mass job displacement, showing instead a significant boom in new roles designed to train and manage AI systems. The report’s findings suggest that while some roles may be automated, the AI boom is fueling a new crop of white-collar and technical careers.
"We’re not talking about enough jobs to change the direction of the labor market, but for AI roles, growth has pretty much been straight up," Kory Kantenga, LinkedIn’s head of economics, said.
The analysis of job posting data highlights the creation of 312,000 data annotator positions and 225,000 "head of AI" roles over the last three years. Data annotators, who help train AI models by labeling data, are in particularly high demand, with staffing firms like micro1 recruiting tens of thousands of experts in fields from medicine to finance. These roles can pay between $90 and $200 per hour for specialized knowledge. Despite the growth, hiring remains highly concentrated, with just 1% of companies, including tech giants like Google and Meta, accounting for 90% of all AI-related job posts, according to data from Indeed.
The surge in AI-related hiring provides a counter-narrative to the recent wave of layoffs in the tech sector, where companies have cut over 52,000 jobs in the first quarter of 2026, as reported by Challenger, Gray & Christmas Inc. While firms are investing heavily in AI, the technology is also creating a demand for new skills. This dynamic is reshaping the legal field, where lateral hires with AI specialty grew 68% from 2024 to 2025 among attorneys at the largest U.S. firms, according to a report from SurePoint Technologies. The growth in AI jobs, from high-level strategy to hourly data-labeling, indicates a fundamental shift in the labor market as companies from healthcare to finance seek to integrate artificial intelligence.
This article is for informational purposes only and does not constitute investment advice.