What it means
it are no longer a computer science story. Handshake data published August 19, 2026 shows students across every major actively building AI experience and listing AI-related skills on their profiles (Inside Higher Ed, 2026). The early-career AI skill market broadened materially beyond STEM disciplines during the 2025–2026 academic year. That makes sense given who actually earns degrees. In academic year 2021–22, business majors accounted for roughly 19 percent of all U.S. bachelor's degrees and health professions for about 13 percent, while computer science and information technology combined represented fewer than 6 percent (NCES Digest of Education Statistics, 2024). The Handshake data signals that the population now building AI skills is, by sheer enrollment math, overwhelmingly non-CS.
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Quick Answer
Handshake data published August 19, 2026 shows AI career skills are spreading across all majors, not just computer science. Business and health professions together represent roughly 32 percent of U.S. bachelor's degrees, dwarfing CS. The shift is measurable, cross-disciplinary, and already inside employer hiring conversations.
it are no longer a computer science story. Handshake data published August 19, 2026 shows students across every major actively building AI experience and listing AI-related skills on their profiles (Inside Higher Ed, 2026). The early-career AI skill market broadened materially beyond STEM disciplines during the 2025–2026 academic year.
That makes sense given who actually earns degrees. In academic year 2021–22, business majors accounted for roughly 19 percent of all U.S. bachelor's degrees and health professions for about 13 percent, while computer science and information technology combined represented fewer than 6 percent (NCES Digest of Education Statistics, 2024). The Handshake data signals that the population now building AI skills is, by sheer enrollment math, overwhelmingly non-CS.
What the Handshake Data Actually Shows
Handshake data published August 19, 2026 shows students across all majors — not just computer science — actively listing AI-related skills on their profiles. The early-career AI skill market broadened materially beyond STEM in the 2025–2026 academic year. That shift matters because CS and IT combined represent fewer than 6 percent of U.S. bachelor's degrees (NCES, 2024).
Handshake released new platform data on August 19, 2026, showing that students across majors — not just computer science — are actively building AI experience and listing AI-related skills on their profiles (Inside Higher Ed, 2026). The release marks the early-career AI skill market as having broadened materially beyond STEM disciplines during the 2025–2026 academic year.
That broadening carries structural weight. The NCES Digest of Education Statistics 2023 reports that in academic year 2021–22, computer science and information technology combined represented fewer than 6 percent of all U.S. bachelor's degrees, while business alone accounted for roughly 19 percent (NCES, 2024). The population now signaling AI skills on Handshake is, by sheer enrollment math, overwhelmingly non-CS.
Which Majors Are Building AI Career Skills the Fastest?
Business and health professions majors are showing the sharpest AI skill signal growth in Handshake's 2025–2026 data, according to Inside Higher Ed (2026). Those two fields alone account for roughly 32 percent of all U.S. bachelor's degrees, per NCES (2024), meaning the growth is numerically significant — not a niche shift.
Handshake's preliminary data, published August 19, 2026, shows that students outside computer science and information technology — which together represented fewer than 6 percent of bachelor's degrees in 2021–22, per the NCES Digest of Education Statistics (2024) — are now actively tagging AI-related skills on their profiles. The data signals that the early-career AI skill market has broadened materially beyond STEM disciplines, encompassing the vast majority of degree-seekers who sit outside CS.
The OECD Employment Outlook 2024 adds context: roughly 27 percent of employment across OECD countries sits in occupations exposed to AI, concentrated in business, administration, and professional services — not just tech. Non-CS students in those fields have a direct incentive to build AI fluency before they graduate.
Why Is This Happening Now in the Early-Career Market?
Three structural forces collided in 2024–2026 to push AI career skills into every major. The OECD found roughly 27 percent of jobs across member countries are exposed to AI, concentrated in business and professional services — not just tech. Employers are responding: Gartner's 2025 survey named talent gaps the top barrier to AI adoption.
The OECD Employment Outlook 2024 found that occupations exposed to AI account for approximately 27 percent of employment across OECD countries, with high-exposure roles concentrated in business, administration, and professional services — not only in tech. Workers in those roles who complement AI stand to protect or grow their positions, giving non-CS students a clear incentive to build AI skills.
Employers are reinforcing that incentive. Gartner's 2025 CIO survey found talent and skills gaps were the top barrier to AI adoption — ahead of data quality or infrastructure. Gartner also projects that by 2027, AI-augmented roles requiring domain expertise plus AI fluency will outnumber pure AI/ML engineering roles in enterprise hiring.
What Does This Mean for Colleges and Curriculum Leaders?
By 2021–22, business and health professions together made up roughly 32 percent of all U.S. bachelor's degrees, while CS and IT combined held fewer than 6 percent (NCES, 2024). That distribution tells curriculum leaders exactly where the AI literacy gap sits — and where the biggest institutional opportunity is.
The NCES Digest of Education Statistics 2023 reports that in 2021–22, business degrees accounted for roughly 19 percent of all U.S. bachelor's degrees and health professions for about 13 percent, while computer science and IT combined represented fewer than 6 percent (NCES, 2024). That means the vast majority of degree-seekers sit outside CS — precisely the population now building it, per Handshake data. Curriculum leaders in business, liberal arts, and health sciences are staring at a scale problem that CS departments alone cannot solve.
More than 60 percent of U.S. four-year institutions had introduced at least one AI literacy course open to all majors by early 2026, up from fewer than 20 percent in 2023, with liberal arts colleges among the earliest to embed AI competency into general education requirements (Chronicle of Higher Education, 2026). The direction is clear; the gap is execution at scale.
How Should Employers and EdTech Vendors Read This Shift?
Gartner projects that by 2027, AI-augmented roles requiring domain expertise will outnumber pure AI/ML engineering roles in enterprise hiring. Hiring rubrics built around CS credentials alone will miss most of that market. EdTech tools serving non-CS learners now have a materially larger addressable pool than they did two years ago.
Gartner projects that by 2027, AI-augmented roles requiring domain expertise will outnumber pure AI/ML engineering roles in enterprise hiring, and talent gaps are already the top barrier to AI adoption, per Gartner's 2025 CIO Survey. Hiring rubrics built only around CS credentials will screen out exactly the workers enterprises say they need.
For EdTech vendors, the addressable market has shifted. In 2021–22, fewer than 6 percent of U.S. bachelor's degrees went to students in computer science and information technology combined, per the NCES Digest of Education Statistics 2023 — the vast majority of degree-seekers sit outside CS, precisely the population now building AI skills according to Handshake data published August 19, 2026. Products built only for technical learners leave most of that pool untouched.
| Embed AI fluency across all majors (institution-wide requirement) | Standalone AI/ML engineering track (CS-focused) | Domain-specific AI electives (opt-in, open to all majors) | |
|---|---|---|---|
| Typical cost range | varies — no reliable public benchmark | varies — no reliable public benchmark | varies — no reliable public benchmark |
| Typical timeline | — | — | — |
| Best fit | Institutions serving broad student populations where business, health, and other non-CS majors make up the large majority of enrollment (U.S. bachelor's degrees in business and health professions combined accounted for roughly 32 percent of all degrees in 2021–22, while CS and IT combined represented fewer than 6 percent) (NCES, 2024) | Students targeting computer and IT occupations, which the U.S. Bureau of Labor Statistics projects to grow 11 percent from 2023 to 2033 (BLS, 2024) | Institutions that want to expand access without overhauling general education; fits the documented demand for AI-adjacent skills such as prompt design and output evaluation (MIT Sloan Management Review, 2025) |
| Key risk | Curriculum breadth may dilute depth; faculty readiness varies. More than 60 percent of U.S. four-year institutions introduced at least one AI literacy course open to all majors by early 2026, signaling rapid but uneven adoption (Chronicle of Higher Education, 2026) | Reaches fewer than 6 percent of degree-seeking students (NCES, 2024); Gartner projects that by 2027, AI-augmented roles requiring domain expertise plus AI fluency will surpass pure AI/ML engineering roles in enterprise hiring (Gartner, 2025) | Opt-in design may leave most students without AI exposure; Handshake data published August 19, 2026 shows AI skill-building has broadened materially beyond STEM disciplines, suggesting passive availability is insufficient (Inside Higher Ed, 2026) |
| Sources | Chronicle of Higher Education (2026); NCES Digest of Education Statistics (2024) | BLS Occupational Outlook Handbook (2024); NCES Digest of Education Statistics (2024); Gartner (2025) | MIT Sloan Management Review (2025); Inside Higher Ed / Handshake (2026) |