AI is everywhere ... except in radiology job postings, new data reveal
Talk of artificial intelligence in radiology is commonplace these days, but a new report suggests that employers are not yet ready to discuss its use with candidates.
A new job market analysis from RadBoard—a platform designed to streamline the application process for radiology professionals—offers numerous insights into what employers are offering in today’s radiology roles. The data were derived from over 4,000 radiology job listings from the first quarter of 2026; it details everything from employment type (hospital-based, private practice, PE-backed) to salary, shift availability, regional trends and more.
One notable finding is the lack of posts containing any mention of artificial intelligence. Of the 4,333 job descriptions, just 28% referenced PACS or AI technology, despite the specialty being the main point of entry for AI in healthcare.
There are currently over 1,000 AI medical tools cleared by the U.S. Food and Drug Administration. The majority—around 70%—target some aspect of medical imaging. What’s more, up to 90% of hospitals claim to have deployed some form of AI.
“Only 9% of job postings name a specific PACS system. AI tools are mentioned even less,” the report notes. “The gap between vendor marketing and employer requirements—as measured by actual job postings—remains enormous.”
Postings also appear to house another divergence with respect to which employers utilize AI. Private equity-backed companies most often referenced AI and PACS, with just under 30% of all AI mentions. Academic organizations were next in line at 16%, followed by hospitals (15%) and recruiters (6)%.
Where’s the disconnect?
The absence of AI’s presence in the posts could be owed to a number of reasons. The lack of reimbursement for most AI tools, uncertainty regarding ethics and legal standards, and the need for updated IT frameworks and safeguards all could play a role in AI being omitted from job postings. Additionally, recent reports have questioned the return on investment from AI. Although many organizations are using the technology in some capacity, most remain unsure of how it has affected their bottom line.
Find more insight from the report, including salary data, here.
