One in six US college students have switched majors because of AI
Sixteen percent of American college students have already changed their major due to AI's impact on the job market, according to a Gallup and Lumina Foundation survey of roughly 3,800 students. Another 47 percent said they have considered switching fields for the same reason.
The data signals a shift in how students approach academic planning. Rather than locking in a major early, more students are keeping their options open as they track changes in hiring and skill demand.
Technology students are reconsidering fastest
About 70 percent of students in technology and vocational programmes have thought about changing majors because of AI. Students in healthcare and natural sciences report far less influence from AI on their decisions, likely because these fields face lower automation risk.
Among those who switched, 26 percent moved into social sciences, 17 percent into business, and 13 percent into technology-related fields.
Shifts within computer science are reshaping priorities
Interest in traditional programming has declined while demand for AI-focused specializations has grown. Programming represented 10 percent of computer science interest in 2026, down from 14 percent in 2020, according to data from Niche.
Interest in artificial intelligence climbed to 4.7 percent in 2026 from 1.7 percent in 2023. Software engineering interest also rose and now accounts for 22 percent of computer science focus.
Students are not simply moving away from technology-they are moving toward fields seen as closer to AI development and less vulnerable to automation.
Humanities and sciences remain stable
Students in humanities, healthcare, and natural sciences show the least inclination to switch majors because of AI. These programmes also report lower regular use of AI tools among students.
Some universities are updating liberal arts courses to include AI's intersection with traditional disciplines, adjusting how subjects are taught rather than seeing enrollment decline.
Degrees still matter, but skills are gaining ground
Seventy-nine percent of entry-level roles for the class of 2026 still require a bachelor's degree, according to HireVue's global hiring trends report. However, nearly 70 percent of employers are adopting skills-based hiring approaches.
More than a quarter of US organizations have discussed reducing strict degree requirements to access a wider talent pool. This suggests degrees remain important but are no longer the sole credential employers evaluate.
As AI continues to reshape job markets, students are treating major selection as an ongoing decision rather than a fixed choice made at enrollment.
Educators working with students on academic planning should expect continued questions about how AI will affect specific fields and career prospects. Understanding these shifts helps advisors guide students through a more fluid decision-making process.
For those looking to develop expertise in AI's role across sectors, AI for Education resources can help education professionals stay current with how the field is evolving. Those interested in the technical side can explore Generative AI and LLM Courses to understand what students are increasingly moving toward.
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