Artificial intelligence is beginning to reshape the transition from college to the workforce, with new research showing that graduates from highly AI-exposed majors experienced weaker early employment and earnings outcomes after ChatGPT became widely available. The findings highlight growing uncertainty around entry-level careers while showing that AI exposure does not necessarily mean a degree or profession will disappear.
New Research Examines AI Exposure
A US Census Bureau working paper examined approximately 6.67 million bachelor’s degree graduates from 2016 through 2024. Researchers grouped college majors according to the level of AI exposure associated with the occupations their graduates entered.
The study found that graduates from the 10% of majors with the highest AI exposure experienced a five-percentage-point decline in the probability of being employed shortly after graduation. Their first full-quarter earnings were also 13% lower relative to graduates from less AI-exposed majors.
The earnings difference narrowed over time. After two years, the gap was approximately 5%, suggesting that early disruption may not translate into the same long-term outcome for every graduate.
Computer Science Is Among the Most Exposed
Computer Science is included among the majors with the highest measured AI exposure. Other highly exposed fields include Computer Engineering, Computer Programming, Information Sciences, Management Information Systems, Applied Mathematics, Statistics, Electrical Engineering and Journalism.
Fields such as Accounting, Finance, Economics, Physics, Operations and Logistics, Industrial Engineering, Advertising and Public Relations were placed in the next exposure group.
Marketing, International Business, Mass Media, Geography, Public Policy and Mechanical Engineering also appeared among fields with notable AI exposure in the study.
AI Exposure Does Not Mean Job Elimination
The researchers’ exposure measure describes how strongly occupations connected with a major may be affected by AI-related technologies. It is not a prediction that all jobs within those fields will disappear.
Computer science illustrates the distinction. AI can increasingly assist with coding, testing and software development, but organizations still require people who can design systems, manage complex projects, evaluate AI-generated work and develop new technology.
Entry-Level Workers Face a Different Challenge
The study’s strongest effects appeared during the transition from college into employment. This suggests that AI-related disruption may be particularly important for graduates trying to obtain their first professional position.
Researchers found that roughly half of the observed earnings decline was associated with lower earnings within industries, while the other half was linked to graduates moving toward lower-paying industries. This indicates that the impact can involve both job access and the type of work graduates enter.
The Evidence Has Important Limitations
The research period overlaps with the rapid adoption of ChatGPT, but the study does not establish that every employment change was directly caused by generative AI. The researchers considered several alternative explanations, including changes in graduate supply, work-from-home patterns, self-employment and postgraduate education.
The study also covers only the early years of widespread generative AI adoption. It therefore cannot determine whether graduates affected at the beginning of their careers will experience lasting earnings differences as they gain experience.
The paper is also a Census Bureau working paper rather than a peer-reviewed official Census Bureau publication. The authors note that working papers have not undergone the same review process as official publications.
What Students Can Take From the Findings
The research does not provide a simple list of degrees that students should avoid. Instead, it shows that AI exposure varies significantly between fields and that the earliest stages of a career may be particularly sensitive to changes in how employers use AI.
Students entering highly exposed fields may therefore benefit from developing practical experience alongside academic knowledge. Understanding AI tools, data, automation and the limits of AI-generated results can complement technical or professional expertise.
India Has Its Own AI Labor Market
The US results should not be treated as a direct forecast for India because education systems, hiring practices and occupational structures differ between the two countries. India is nevertheless experiencing growing demand for AI-related capabilities across technology and other professional sectors.
India’s expanding AI job market means that the relationship between college education and employment is also evolving. The important question for graduates is increasingly how their field-specific knowledge can be combined with AI capabilities and practical workplace skills.
The Future of College Degrees Remains Uncertain
The latest evidence points to a changing entry-level labor market rather than the disappearance of particular college majors. Highly AI-exposed fields may face faster changes in job requirements, while graduates who understand how AI affects their profession may need to adapt their skills as employers redesign work.
For now, the research shows a measurable early-career shock for graduates from the most AI-exposed majors, but it does not establish which degrees will ultimately gain or lose value over the long term. Continued labor-market data will be needed to determine how the effects develop as AI adoption expands.