Dallas Fed: AI-Exposed College Majors May Cut Pay
Federal Reserve Bank of Dallas economists find AI-exposed college majors carry weaker job prospects and lower pay, as students rethink their fields of study.
By Amara Osei
1 min read
Updated

What's News
- Federal Reserve Bank of Dallas economists link AI-exposed college majors to weaker job prospects and lower pay.
- Many college students say they are rethinking their academic focus because of AI, per a Gallup poll cited by MarketWatch.
- MarketWatch published the findings on Sept. 25, 2026, in a report by Andrew Keshner.
Economists at the Federal Reserve Bank of Dallas say the financial stakes of choosing a college major are rising in the AI era, and picking the wrong one could dent both job prospects and pay.
The finding lands at a moment when students themselves are already changing course. Many college students say they are rethinking their academic focus because of fast-emerging AI technology, according to a Gallup poll cited by MarketWatch reporter Andrew Keshner in a Sept. 25 story.
What the Dallas Fed economists add is hard data on the potential costs of those decisions. Their research identifies specific majors as more exposed to artificial intelligence, and links that exposure to weaker job prospects and lower earnings for graduates who hold them.
The stakes are considerable. A college major has long been a weighty decision. Now, with employers deploying AI across white-collar tasks, the gap between a "safe" field of study and a vulnerable one translates directly into dollars, according to the Dallas Fed analysis.
The research also carries implications for how families evaluate the return on a college investment. Tuition costs remain high, and students financing degrees in AI-exposed fields may face a weaker payoff than earlier cohorts enjoyed.
MarketWatch framed the shift in behavioral terms: "AI is becoming a lens they use to judge whether a major is a safe bet." That lens now has a data foundation from a Federal Reserve institution, giving students, parents and lenders an empirical basis for weighing which degrees will hold value as automation spreads through the labor market.
Original: wsj.com
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Senior reporter covering consumer brands and retail at Business Bearings.
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