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FollowingAI jobs boom: 750,000 new jobs have been created in the United States since 2023
Core summary: Artificial intelligence investment has created more than 750,000 jobs in the United States since 2023, and data center construction has become a key force driving recruitment growth. 282,000 new positions were created for data annotters, and another 222,000 positions were contributed by data center and AI engineers. A typical AI position earns an annual salary of approximately $177,000, while a non-AI position earns an annual salary of approximately $80,000. Although non-farm employment growth slowed to 29,000 in September, demand for AI-literate jobs in the United States increased by 70% year-on-year.
AI-related jobs surge: Expansion from software to infrastructure
Despite the weakening overall recruitment market, investment in artificial intelligence has created more than 750,000 jobs in the United States since 2023. This growth is not limited to software development; data annotation, engineering, and data center construction are transforming AI spending into jobs in digital and physical infrastructure.
According to LinkedIn estimates, AI-related roles have contributed to more than 750,000 new jobs in the United States since 2023. This surge was mainly driven by data annotters, with 282,000 new positions; followed by data center-related positions and contributions from AI engineers.
LinkedIn data quoted by The Wall Street Journal shows that between 2024 and 2026, the data annotation industry generated approximately 282,000 jobs. Data centers added approximately 117,000 jobs, while AI engineers contributed another 105,000 positions.
Salary Gap and Job Structure Changes
The above three types of jobs together account for approximately 504,000 jobs, constituting the majority of AI-related jobs reported since 2023. The recruitment portfolio also includes approximately 29,000 "Head of AI" positions and 15,000 "forward-deployed engineer" positions. These positions reflect the growing demand for leadership and business implementation.
LinkedIn's August research found that the number of AI job postings in the United States has roughly doubled since 2023. The salary level is also significantly higher than the salary of typical non-AI positions.
- Average annual salary for AI positions: About US$177,000
- Average annual salary for non-AI positions: About US$80,000
In addition,"AI engineer" has replaced "machine learning engineer" as the most common AI career category on LinkedIn. "Front-end deployment engineers" ranked third, while "VP of AI"(VP of AI) recruitment increased approximately sixfold. Demand is expanding from expert positions to a wider range of fields.
LinkedIn reports show that the number of jobs in the United States that require AI-literacy skills has increased by 70% year-on-year. This shift suggests that employers are increasingly inclined to find workers who can use AI tools, even if their main job does not revolve around building models.
Data centers deepen the influence of AI in the labor market
物理基础设施正成为另一个主要的就业渠道。LinkedIn指出，随着计算能力的扩张，全球数据中心 workforce 自2017年以来已经翻倍。《华尔街日报》援引经济学家Stijn Van Nieuwerburgh的估计称，2025年至2032年间，美国数据中心及相关AI基础设施的投资可能达到10.3万亿美元。
这一总额相当于美国GDP年均增长约3.6%，显示出针对AI基础设施的资本支出如今已远远超出科技公司范畴。与此同时，AI就业的激增与国家整体招聘放缓形成鲜明对比。美国劳工统计局报告称，9月份非农就业人口仅增加2.9万人。失业率则为4.2%，且7月和8月的就业数据被分别下调，合计减少6万个岗位。
就业准入的不均衡性
然而，进入AI就业市场的机会仍然高度集中。LinkedIn发现，91%的AI从业者至少拥有学士学位。2025年，女性占美国AI招聘人员的比例仅为26%，这表明快速的岗位创造并未转化为参与度的平等分布。
