Computer Programming Tops AI Automation Risk for College Majors

College students choosing majors face a new calculation: which fields will still offer human jobs as artificial intelligence systems take on more workplace tasks?

An Anthropic analysis of more than 750 occupations requiring bachelor's degrees found computer programmers at the top of the automation exposure list, with AI already observed performing roughly three-quarters of their core tasks. The Bureau of Labor Statistics projects programmer employment will decline 6 percent—about 7,200 positions—between 2024 and 2034, though approximately 5,500 annual openings are still expected as workers retire or change careers.

At the opposite end of the spectrum, substance abuse and behavioral disorder counselors showed virtually zero AI exposure in the study. These roles, which can be entered with bachelor's degrees in psychology, public policy, or social services, are projected to grow 17 percent through 2034, adding roughly 81,100 positions. The median salary for counselors stood at $59,190 in 2024, compared to $98,670 for programmers.

Why it matters

Student loan debt has reached crisis proportions, making degree choice a high-stakes financial decision. Graduates who enter shrinking fields face greater difficulty repaying education debt and achieving financial stability. Understanding which occupations face genuine automation pressure—versus speculative fears—helps students make informed investments in their futures.

The employment picture remains complex

Despite rapid AI adoption since ChatGPT's late 2022 launch, Anthropic researchers found no meaningful unemployment increase among the most exposed workers. The Bureau of Labor Statistics expects most high-exposure occupations to maintain or grow employment, with software quality assurance analysts and testers projected to add about 129,200 annual openings.

The gap between AI capability and actual workplace deployment remains substantial. While AI systems can theoretically handle 94 percent of tasks in computer and mathematics occupations, current coverage extends to only about one-third of those tasks in practice.

Entry-level hiring shows warning signs

The clearest automation impact appears in new graduate hiring. Workers aged 22 to 25 have seen their chances of landing jobs in high-exposure occupations drop approximately 14 percent since 2022, while workers over 25 showed no comparable decline. Anthropic researchers caution against over-interpreting this data—younger workers may be staying in school, switching fields, or remaining in current positions—but the pattern suggests AI is already influencing which candidates get hired.

Technical writers represent another moderately exposed occupation, with projected growth of just 1 percent through 2034, well below the 3 percent average for all occupations.

The ten least-exposed occupations examined in the study all registered zero observed AI use, meaning their tasks rarely appeared in Claude's training data. These roles typically involve direct human interaction, complex judgment in unpredictable situations, or specialized physical tasks.

These findings were first reported by Investopedia, drawing on the earlier Anthropic research published in 2026.