Employment Trends for Graduates in AI-Influenced Fields
A recent working paper from the U.S. Census Bureau’s Center for Economic Studies provides stark insights into the job market for graduates from majors highly affected by artificial intelligence.
The research indicates that these individuals are experiencing diminished access to first-quarter employment opportunities and a decline in earnings following the emergence of ChatGPT in late 2022.
Authored by economists Cody Orr, Lee C. Tucker, and Lawrence Warren, the September paper scrutinizes U.S. bachelor’s degree holders in the aftermath of ChatGPT’s release.
While it underscores the challenges faced in securing initial positions and salaries, the authors caution against attributing these shifts solely to AI advancements.
Initial Employment Suffers Significant Impact
According to the adjusted figures, graduates hailing from the most AI-exposed majors are five percentage points less likely to secure employment in the immediate quarter post-graduation when compared to their peers in less AI-centric disciplines. Furthermore, their full-quarter earnings plummeted by 13 percent.
- Employment Outlook: There exists a five-percentage-point relative downturn in first-quarter employment for graduates from the top decile of AI-exposed majors.
- Initial Compensation: Full-quarter earnings for this group are 13 percent lower than those from the bottom six deciles.
- Long-Term Trends: By the two-year mark, the wage gap had somewhat diminished to approximately 5 percent, yet it did not fully close.
The aforementioned five percentage points represent a disparity between specific groups, not the total rate of unemployment among all graduates.
The authors equate the financial impact of this phenomenon to graduating during an economic downturn while prompting caution regarding the direct interchangeability of quarterly and annual earnings metrics.
Wage Disparities and Employment Sectors
Approximately half of the observed reduction in earnings stems from diminished pay within certain industries, while the remaining portion reflects a trend of graduates gravitating towards lower-paying sectors, including retail and accommodation. This is juxtaposed with a noticeable decline in their presence within the information sector.
This data suggests that initial job placements have become both weaker and less accessible. Additionally, the analysis notes an uptick in job switching among cohorts who graduated after the advent of ChatGPT—potentially indicative of their pursuit of superior employment opportunities.
However, the findings encapsulate more than mere numerical shifts; they illuminate systemic pressures affecting entry-level hiring, starting wages, and the sectors attracting new graduates—domains where automation increasingly supplants traditional roles historically fulfilled by less experienced individuals.
AI Exposure: Opportunity Indicators, Not Determinants
The research team evaluated 6,665,500 graduate records, representing approximately 29 percent of U.S. bachelor’s degrees conferred between 2016 and 2024, correlating Census postsecondary outcomes with employment trajectories.
The researchers integrated task-level AI exposure indices with typical occupations associated with each major, using data obtained from the American Community Survey.
They standardized the occupational distribution prior to ChatGPT’s launch and subsequently contrasted outcomes across various majors and cohorts. Notably, this analysis does not reflect individual AI usage.
- Data Insights: The research provides insights into early employment and earnings pathways across a spectrum of majors with differing AI exposure.
- Limitations: It does not quantify individual AI utilization or ascertain if specific workers were replaced by automation.
- Research Status: The conclusions drawn should not be construed as definitive Census Bureau findings; the authors state that the work remains unpublished, pending rigorous evaluation akin to Bureau standards.
Complementary Studies Investigate Labor Market Trends
In a parallel analysis, the Federal Reserve Bank of Dallas examined Texas public-university records and discovered that a 10-point increase in major exposure corresponded with a 1.7-point relative decline in employment within a year, alongside approximately 5 percent lower first-year wages for employed graduates. This independent state-level investigation is not a direct replication of previous studies.
A separate working paper by Robert Fairlie and Jane Wu from the National Bureau of Economic Research found no statistically significant rise in unemployment among recent graduates during the summer of June to August 2026, when compared to prior summers or to older graduates and young non-graduates.
While this does not contradict the findings of poorer quality first jobs and diminished pay, it highlights differing outcomes across studies.
The Associated Press recently profiled Collins Kibet, a Kenyan computer-science graduate navigating the U.S. job market, where visa sponsorship added to the complexity of his situation.
Tracy Camp, chief executive of the Computing Research Association, remarked to the AP: “If hiring practices do not evolve, mid-level career professionals will become increasingly scarce in a few years.”
It is crucial to note that Kibet’s experience cannot be generalized to reflect trends within Kenya or serve as evidence of direct AI impacts.
Need for Comprehensive Graduate Outcomes Measurement in Kenya
Kenya’s State Department for Labour and Skills Development advocates for the establishment of a Graduate Employability Rate via tracer studies, assessing paid employment, part-time work, or self-employment within a year, excluding full-time students and those unavailable for work.
While not a direct measure of AI’s influence, this data could be analyzed across various educational programs, cohorts, remuneration levels, and job quality.
Additionally, the Kenya National Bureau of Statistics plans for its 2026 Integrated Labour Force Survey to evaluate employment trends, underemployment, informal labor, and digital-platform employment.
When paired with graduate tracer information, these indicators could illuminate the potential effects of AI on hiring practices, wage levels, and employment sectors.
A single working paper is insufficient to categorically label any degree as “secure” or “fated.” The more pressing question remains: Do graduates continue to receive compensated first assignments that facilitate the acquisition of professional judgment, and does artificial intelligence enhance such opportunities or eliminate the foundational entry-level roles?
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