New research from Indeed Hiring Lab reveals that the number of U.S. job titles referencing artificial intelligence has more than tripled since 2022, growing from 264 to 822 by the first quarter of 2026. The analysis also found that nearly two-thirds (63%) of those AI-related job titles now appear in roles outside traditional technology occupations, spanning healthcare, education, marketing, logistics, and management.
“AI is no longer just a tech occupation story,” Indeed researchers wrote, noting that employers are increasingly incorporating AI skills into roles that historically had little connection to software development or data science. “The number of AI-touched jobs has risen across every market we track.” This trend reflects a broader integration of AI into everyday business functions, as companies move beyond experimentation to full-scale implementation.
Separately, CompTIA’s latest Tech Jobs Report indicates that employers posted more than 280,000 new technology job postings in June, marking the sixth consecutive month of growth. Active technology job postings approached 600,000, while employment in tech occupations increased by 47,000 positions. The unemployment rate for tech occupations fell to 2.9%, compared with the national unemployment rate of 4.2%.
“June’s employment data suggests that employers are ramping up their technology investments and hiring the talent needed to support them,” said Seth Robinson, vice president for industry research at CompTIA, in a statement. “Even as some tech companies announce layoffs, employers in other industries are accelerating digital transformation initiatives and moving from AI experimentation to implementation.”
CompTIA’s report notes that new tech job postings increased for the sixth consecutive month amid what it described as a “broad-based movement toward reinvigorating digital transformation activities and clarifying AI strategies.” The demand remains strongest for traditional IT roles, with software developers and engineers leading all technology job postings in June with nearly 50,000 openings, followed by systems engineers, tech support specialists, data analysts, and DevOps engineers.
The expansion of AI across industries
Indeed’s findings highlight a significant shift in how employers view AI. Rather than confining AI expertise to dedicated data science or engineering teams, organizations are embedding AI into a wide variety of job functions. For example, job titles such as “AI marketing specialist,” “AI healthcare coordinator,” and “AI supply chain analyst” have emerged. This diversification suggests that AI literacy is becoming a baseline requirement for many roles, similar to how digital skills evolved over the past two decades.
In healthcare, AI is being used to assist in diagnostics, patient monitoring, and administrative tasks. Job postings for “AI clinical data specialist” or “AI medical records analyst” are on the rise. In education, schools are hiring “AI curriculum developers” to design courses that teach students how to use AI tools responsibly. Marketing departments are seeking “AI campaign managers” who can leverage predictive algorithms to optimize ad spend and customer targeting.
Logistics companies are posting for “AI logistics coordinators” who can manage inventory and route optimization using machine learning. Management roles are also evolving, with titles like “AI transformation manager” becoming common as companies appoint leaders to oversee the integration of AI into business processes. These roles often do not require a background in computer science but instead demand a combination of domain expertise and the ability to work with AI tools.
Strong IT hiring persists amid broader economic uncertainty
While AI job titles are proliferating across industries, the tech sector itself continues to show robust hiring. CompTIA’s report indicates that professional, scientific, and technical services firms generated the highest volume of technology job postings in June, followed by administrative services, manufacturing, information and media, and financial services organizations. The data suggests that even as some large tech companies announce layoffs, the overall demand for technology workers remains high, driven by digital transformation efforts in non-tech sectors.
The growing need for AI-related skills has also spurred a wave of upskilling and reskilling initiatives. Community colleges, online learning platforms, and corporate training programs are offering courses in AI fundamentals, machine learning, and data analysis. Employers are increasingly valuing practical experience with AI tools over formal degrees, opening doors for workers from diverse backgrounds.
However, experts caution that the rapid expansion of AI roles also presents challenges. Workers in fields that are highly automatable may face displacement, and the demand for advanced AI skills could widen the skills gap. Policymakers and educators are urged to invest in training programs that prepare the workforce for an AI-augmented economy.
Indeed’s analysis underscores that the trend is global, with similar patterns observed in other developed economies. In the United Kingdom, for example, AI-related job titles have more than doubled since 2020, with a significant share appearing in non-tech sectors. The research suggests that as AI becomes more accessible through cloud services and low-code platforms, its influence will only intensify.
CompTIA’s Robinson emphasized that the current hiring landscape reflects a “fundamental shift” in how companies approach technology. “We are moving from a world where IT is a support function to one where technology—and AI in particular—is a core driver of business strategy,” he said. This transition is creating new opportunities for workers who can blend technical skills with industry knowledge.
The convergence of AI and traditional roles is expected to accelerate in the coming years. As AI tools become more sophisticated and easier to deploy, the line between “tech” and “non-tech” jobs will continue to blur. For job seekers, the message is clear: familiarity with AI is becoming a key differentiator in the labor market, regardless of the industry they choose.
Source:Network World News