Artificial intelligence (AI) investment has generated more than 750,000 U.S. jobs since 2023, even as overall hiring has weakened. LinkedIn estimates cited by The Wall Street Journal show data annotators added about 282,000 positions between 2024 and 2026, followed by data centers with roughly 117,000 jobs and AI engineers with 105,000. Together, those categories account for about 504,000 roles. The wider hiring mix includes approximately 29,000 Head of AI positions and 15,000 forward-deployed engineer jobs. AI job postings have roughly doubled since 2023, with typical annual compensation of about $177,000 compared with roughly $80,000 for non-AI roles. AI engineer has become LinkedIn’s most common AI occupation, while forward-deployed engineer ranks third and VP of AI postings have increased about sixfold. Demand is also spreading to roles requiring AI literacy, with such U.S. job postings rising 70% year over year. Physical infrastructure is adding to the employment effect: LinkedIn says the global data center workforce has doubled since 2017, while economist Stijn Van Nieuwerburgh estimates U.S. data center and related AI infrastructure investment could reach $10.3 trillion from 2025 through 2032, equivalent to an average of about 3.6% of U.S. GDP annually. The expansion contrasts with September’s addition of just 29,000 nonfarm payrolls, unemployment of 4.2%, and downward revisions totaling 60,000 jobs to July and August payroll figures. Access to AI employment remains concentrated, with 91% of AI workers holding at least a bachelor’s degree and women accounting for only 26% of U.S. AI hires in 2025.