Mentions of artificial intelligence in U.S. job postings appear to be on the rise, but about a quarter of those postings lack clear context on its application as employers continue to figure out what role-related AI use means, according to an Oct. 28 report from Indeed’s Hiring Lab.
A little more than half of AI-related job descriptions mentioned building new AI tools or directly using AI models through prompts, while 14% of postings mentioned employing AI in recruitment.
At the same time, most posts used general terms, such as “AI” or “GenAI,” rather than specific skills, such as “large language models” or “ChatGPT.” This gap could highlight a difference between a company’s “AI style versus its AI substance,” the report found.
“Companies are starting to experiment with using AI to assist in solving business problems like hiring and logistics optimization,” Cory Stahle, an Indeed Hiring Lab economist, wrote in the report. “For employers, this suggests that now is a good time to experiment with AI and provide training so that workers can use these technologies effectively, responsibly and ethically.”
Based on an analysis of job postings, the report found that AI use differed by occupation, with tech, management and creative roles driving AI use and development. Service and healthcare roles are using AI primarily in hiring processes.
In addition, human resources and insurance stood out for their use of AI-powered platforms and tools, with each including it in more than 40% of postings mentioning AI, the report found.
In general, AI-related jobs have remained resistant to the broader tech talent hiring slump in 2025, according to another Indeed analysis. Employer demand for AI and machine learning engineers has increased by 334% since the beginning of 2020.
Although business leaders see AI as important, most workers lack the necessary skills to adopt AI, according to an Express Employment Professionals report. More companies reported using AI more regularly at work, yet 76% of hiring decision-makers agreed that employees still need training on AI tools for company success.
