AI Exposure: 93% of Jobs & $4.5T in Labor Value at Risk
Nearly 93% of jobs in the United States are now exposed to some degree of impact from artificial intelligence, according to a new report from Cognizant. The study, an update to previous research, estimates that AI could potentially handle $4.5 trillion in U.S. Work tasks, a figure that is rapidly increasing as AI capabilities advance.
The findings, released on , represent a significant acceleration in the projected impact of AI on the labor market. Cognizant reassessed over 18,000 tasks across 1,000 jobs within the O*NET labor database to determine the extent to which they could be assisted or automated by current AI technologies.
“The surprise was that some of the tasks we were expecting to be automated later on are already being automated,” Babak Hodjat, Cognizant’s CTO, said in a recent interview. “Some of the breakthroughs, for example in agentic AI and multimodal AI and so forth, are already impacting some of these tasks.”
While the potential for automation is substantial, the report emphasizes that AI is not a complete replacement for human workers. Human judgment, contextual understanding, and creativity remain critical components of many roles. The study’s “exposure score” – the degree to which a job can be assisted or automated – averages 39% across jobs, with an annual increase of 9%.
The impact of AI is not evenly distributed across all sectors. Software development is among the most heavily affected areas, driven by improvements in large language models (LLMs) and their ability to generate code. Other roles facing significant exposure include those in business and financial operations, office and administrative support, and legal analysis.
Specifically, the report identifies the following jobs as having the highest percentage of tasks potentially impacted by AI:
- Financial managers: 84% impacted
- Computer and mathematical roles: 67% impacted
- Business and financial operations: 60-68% impacted
- Office and administration support: 60-68% impacted
- Legal occupations: 63% impacted
- Management jobs, including C-suite: 60% impacted
The rapid advancements in AI are already being felt within the software development community. Anthropic lead engineer Boris Cherny recently stated that 100% of his code is now written by AI tools like Claude Code + Opus 4.5, allowing him to ship a substantial number of pull requests daily.
Conversely, certain sectors remain less susceptible to AI-driven automation. Construction, mechanics, installation and repair, protective services, personal care, and healthcare support roles currently exhibit lower exposure scores. However, even these sectors are experiencing increasing levels of AI integration, particularly in areas such as inspection, diagnosis, planning, and documentation.
Cognizant’s analysis highlights a notable shift in the types of tasks being automated. While initial expectations focused on routine, repetitive tasks, AI is now capable of handling more complex and nuanced functions. For example, the report notes a rise in AI exposure within the transportation sector, from 6% in 2023 to 25% in the current assessment, and in construction, from 4% to 12%.
Hodjat stressed that the exposure score represents the *potential* for automation, not a guaranteed displacement of workers. “Humans are very contextual. We have effective memory and deep expertise in our niches, and creativity. There are fundamental limitations in today’s state of the art that prevent AI from handling everything,” he said.
The $4.5 trillion figure represents the potential value of work tasks that could be handled by AI within the U.S. Economy. Extrapolating this figure globally suggests a potential impact of approximately $15 trillion, and this estimate is likely to grow as AI technology continues to evolve. The report underscores the importance of skilling initiatives and adaptable operational strategies for organizations seeking to fully capitalize on the productivity gains offered by AI.
The U.S. Bureau of Labor Statistics (BLS) also acknowledged the growing impact of AI in its employment projections, noting that AI is expected to primarily affect occupations with tasks easily replicated by generative AI. However, the BLS also indicated that occupations in fields like computer science, law, finance, and engineering are also potentially susceptible to AI-related impacts.
Cognizant’s partnership with Uniphore to develop AI solutions for the financial services industry further demonstrates the growing demand for AI-powered tools across various sectors. The company emphasizes the need to address potential risks associated with AI adoption, including those related to job roles and growth.