Artificial intelligence investment has created more than 750,000 new jobs in the United States since 2023, according to LinkedIn estimates drawn from its Economic Graph research, even as hiring across the broader economy has weakened. The expansion reaches well beyond software development: data annotation, engineering, and data center construction are turning AI spending into employment across both digital and physical infrastructure.

The scale of the surge was highlighted by financial commentary outlet The Kobeissi Letter in an October 4 post on X:

AI-related employment is surging: AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates. This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at… pic.twitter.com/wQALBnA4Vj

— The Kobeissi Letter (@KobeissiLetter) October 4, 2026 (via X)

LinkedIn's estimates, cited by The Wall Street Journal, show that data annotators — workers who label the text, images, and audio used to train and evaluate AI systems — produced about 282,000 positions between 2024 and 2026, making the occupation the largest single contributor to AI-driven job growth. Data centers added roughly 117,000 jobs, while AI engineers contributed another 105,000.

Three Categories Account for Most of the Gain

Together, those three categories represent about 504,000 positions, comprising the majority of the AI-related employment reported since 2023. The hiring mix also includes approximately 29,000 Head of AI roles and 15,000 forward-deployed engineer jobs — positions that place engineers directly with customers to put AI systems into operation — reflecting growing demand for leadership and business-implementation expertise.

LinkedIn's August research found that U.S. AI job postings have roughly doubled since 2023. Compensation remains substantially above levels advertised for typical non-AI positions: the typical AI posting lists about $177,000 in annual pay, more than twice the approximately $80,000 offered for a typical non-AI role.

AI engineer has also overtaken machine-learning engineer as LinkedIn's most common AI occupation, with forward-deployed engineer ranking third. Postings for VP of AI increased roughly sixfold.

Demand is widening beyond specialist positions as well. LinkedIn reported that U.S. jobs requiring AI-literacy skills increased 70% year over year, a shift indicating that employers increasingly seek workers who can use AI tools even when their primary responsibilities are not centered on building models.

Data Centers Deepen AI's Labor-Market Footprint

Physical infrastructure is becoming another major employment channel. LinkedIn said the global data center workforce — the people who build and operate the server facilities that train and run AI models — has doubled since 2017 as computing capacity expands. The Wall Street Journal cited economist Stijn Van Nieuwerburgh estimating that U.S. data center and related AI infrastructure investment could reach $10.3 trillion between 2025 and 2032. That total would average about 3.6% of U.S. GDP annually, showing how capital spending on AI infrastructure now extends far beyond technology companies.

The jobs surge also stands out against slower national hiring. The Bureau of Labor Statistics reported only 29,000 new nonfarm payrolls in September, while unemployment stood at 4.2%. Payroll figures for July and August were revised lower by a combined 60,000 jobs. The contrast underscores how sharply AI-linked demand has diverged from overall employment trends. Upcoming monthly employment reports and further LinkedIn research releases will show whether that divergence persists.

Access to AI employment remains concentrated, however. LinkedIn found that 91% of AI workers hold at least a bachelor's degree. Women represented only 26% of U.S. AI hires in 2025, showing that rapid job creation has not translated into equally distributed participation.

Sources: LinkedIn Economic Graph — Labor Market Report 2026 · U.S. Bureau of Labor Statistics — Employment Situation · LinkedIn News · Original report: Blockonomi