Is AI Now a Core Part of College Curricula Across the U.S.?

How AI literacy moved from a computer science elective to a campus-wide expectation, and what it means for students choosing a degree program.

Short Answer: Yes. AI Is Rapidly Becoming a Core Curriculum Component

For most of the last decade, artificial intelligence lived almost entirely inside computer science departments. That is no longer the case. Heading into the 2026-2027 academic year, a growing number of U.S. colleges and universities are treating AI literacy the way they once treated writing or statistics: as a skill every graduate needs, regardless of major.

This shift shows up in three distinct ways: general education requirements that now include AI ethics and literacy, campus-wide “AI fluency” initiatives that touch every student, and a surge of new AI-specific majors, minors, and certificates. At the same time, individual disciplines, with nursing, medicine, business, and law among them, are rewriting their own course content to reflect how AI tools are already used in those fields.

Below is a look at what is actually changing on campuses right now, which schools are leading the shift, and what it means for students evaluating where to enroll.

From Computer Science Elective to Campus-Wide Requirement

The clearest sign that AI has moved into the core curriculum is the number of schools building it into general education: the courses every student must take, no matter what they study.

The State University of New York (SUNY) system updated its information literacy general education requirement so that, starting in fall 2026, courses satisfying that requirement must address the ethical dimensions of emerging technologies, including AI. The change was driven partly by usage data: a Digital Education Council study found that 86 percent of students already use AI tools regularly, with more than half using them weekly and nearly a quarter using them daily. SUNY’s Board of Trustees has also adopted a systemwide AI policy intended to guide responsible use across all 64 campuses.

Ohio State took an even broader approach with its “AI Fluency” initiative, which makes AI literacy a foundational expectation for every undergraduate, regardless of major, starting in the 2025-2026 academic year. All incoming students are introduced to generative AI in a required general education seminar, AI-focused workshops are built into first-year orientation programming, and a new course called “Unlocking Generative AI” is open to students in any field. University leaders describe the goal as making students “bilingual” or fluent in both their major and in applying AI within that field.

How Individual Universities Are Embedding AI Into Coursework

Beyond systemwide policy changes, certain individual institutions illustrate just how far “AI in the curriculum” now extends:

• DeVry University announced it will embed AI literacy and skill-building into every course it offers by the end of 2026, including AI learning assistants integrated directly into classes. The move builds on an automation and machine-learning curriculum DeVry first introduced in 2020.
• Dartmouth College became the first Ivy League school to launch a campus-wide AI integration initiative, partnering with Anthropic and Amazon Web Services to bring AI tools into teaching and research across every discipline, not just computer science. Rather than creating a single AI major, Dartmouth is weaving AI literacy, ethics, and responsible-use training throughout its existing curriculum.
• UC San Diego launched its first dedicated AI undergraduate major in fall 2025, enrolling roughly 150 first-year students with plans to grow the program to about 1,000 undergraduates by 2029. The curriculum combines a computer science foundation with AI and machine learning coursework, advanced mathematics, a required ethics course, and a capstone project.
• Northwestern University is among a wave of institutions launching new undergraduate AI majors for 2026, reflecting a broader national trend: bachelor’s-level AI degree programs grew from roughly 90 to about 193 between 2024 and 2025, a 114% increase in a single year.

Taken together, these examples show two parallel tracks: AI as a dedicated major for students who want deep technical training, and AI literacy as a baseline expectation woven into general education and discipline-specific courses for everyone else.

AI Is Reshaping Discipline-Specific Curricula Too

Outside of computer science and dedicated AI programs, individual fields are updating their coursework to reflect how AI tools are already being used in professional practice.

Nursing and Health Sciences

Nursing programs have moved quickly. A 2025 systematic review of nursing curricula identified curriculum integration, faculty readiness, and ethical considerations as dominant themes shaping how AI literacy is being added to nursing education worldwide. Separately, a survey of undergraduate nursing students in New York City found that 92 percent were already using generative AI tools such as ChatGPT to clarify nursing concepts and support their studies well ahead of formal curriculum changes. The National League for Nursing’s 2025 AI Vision Statement calls for nursing programs to build student competency in foundational AI concepts, the ethical and legal implications of AI use, and the ability to evaluate AI tools in clinical settings critically.

Medicine

Medical education researchers have proposed frameworks, such as the six-dimension “FACETS” model, to help medical schools evaluate how and where AI should be integrated into coursework, from diagnostic reasoning exercises to discussions of algorithmic bias and data privacy. Faculty and student surveys at medical schools, including one conducted at Tufts University School of Medicine, are being used to identify where AI integration would be most useful and where students and faculty currently feel least prepared.

Business, MBA, and Other Professional Programs

Business schools have been folding AI tools and case studies into core MBA coursework, covering everything from AI-driven analytics and decision-making to the strategic and ethical questions executives face when deploying AI within organizations. The common thread across business, nursing, medicine, and other professional fields is the same: AI is being treated less as a standalone topic and more as a lens applied to existing coursework.

The Data Behind the Shift

Several data points help explain why colleges are moving on this so quickly:

• 86% of students already use AI tools regularly, according to the Digital Education Council, with 54% using them weekly and nearly 1 in 4 using them daily.
• Bachelor’s-level AI degree programs in the U.S. grew 114% in a single year, from about 90 programs in 2024 to roughly 193 in 2025.
• A National Skills Coalition analysis of more than 43 million job postings found that 92% of U.S. jobs require digital literacy skills, with a growing share specifically referencing AI and data tools.
• Over 70% of U.S. AI degree programs now emphasize deep learning, natural language processing, and AI ethics as core components, with about 85% incorporating hands-on projects or internships.

EDUCAUSE named “technology literacy for the future workforce,” with AI specifically called out, as one of its top issues facing higher education for 2026, arguing that students across disciplines are not fully prepared for the workforce if they cannot meaningfully engage with the AI tools used in their field.

Why Colleges Are Moving So Fast

Three forces are pushing institutions to act quickly rather than wait for AI’s role in higher education to settle:

1. Student adoption already happened. With the large majority of students already using generative AI for coursework, institutions are formalizing guidance and instruction rather than leaving students to figure out responsible use on their own.
2. Employers are signaling demand. Surveys of job postings and employer expectations consistently show AI and data fluency listed alongside traditional digital literacy skills, across industries well beyond tech.
3. Accreditors and systems are setting policy. Statewide systems such as SUNY and individual accrediting bodies in fields like nursing are issuing formal guidance, which pushes AI literacy from an optional add-on into something programs must address to remain current.

Challenges Colleges Still Face

Despite the pace of change, most institutions acknowledge that the work is far from finished. Common challenges cited across higher education sources include:

• Faculty readiness: Many professors have not received formal training on AI tools, and buy-in tends to be higher when departments, not just central administration, shape how AI fits into their specific courses.
• Equity and access: Ensuring all students, not just those at well-resourced institutions, have access to AI tools and the instruction needed to use them critically.
• Academic integrity: Traditional assignment design and assessment practices are being rewritten campus-wide to account for generative AI, a process that began almost immediately after AI chatbots reached mainstream use among students.
• Keeping pace with the technology: AI tools change faster than curriculum review cycles typically allow, which is part of why many schools are building general AI literacy and critical-evaluation skills rather than training on any single tool.

What This Means for Students Choosing a College

For prospective students, this shift creates a few practical considerations when comparing programs:

• Look beyond the computer science department. AI coursework and tools are increasingly showing up in nursing, business, education, and other professional programs. Ask how a specific major incorporates AI, not just whether the school “has AI.”
• Check whether AI literacy is a graduation requirement or an elective add-on. Schools like Ohio State and the SUNY system have made it part of general education, which may affect course planning and credit requirements.
• For students interested in dedicated AI degrees, compare program maturity. With AI majors more than doubling in a single year, program quality, faculty research strength, and industry partnerships vary widely between a school’s first cohort and a more established program.
• Ask about AI ethics coverage specifically. Programs that pair technical AI training with required ethics coursework, as seen at UC San Diego and Dartmouth, are designed to produce graduates who can both build and responsibly evaluate AI systems.

Frequently Asked Questions

The following Q&A pairs are formatted for FAQPage schema markup and to target People Also Ask placements.

Is AI a required part of college curricula in the U.S.?

At a growing number of institutions, yes. Systems such as SUNY have added AI literacy and ethics to general education requirements effective fall 2026, and universities, including Ohio State, have made AI fluency a requirement for all undergraduates regardless of major. Requirements still vary widely by institution, so students should check individual school policies.

Which colleges require all students to take AI-related courses?

Ohio State’s AI Fluency initiative introduces every undergraduate to generative AI through a required general education seminar and first-year programming. DeVry University has committed to embedding AI literacy into every course it offers by the end of 2026. The SUNY system is adding AI ethics content to its information literacy general education requirement across all 64 campuses starting fall 2026.

Do students need a computer science background to take AI courses?

No. Most AI literacy initiatives are explicitly designed for students in any major. Ohio State’s “Unlocking Generative AI” course, for example, is open to all undergraduates. Dedicated AI majors, such as UC San Diego’s, do require a computer science and math foundation, but general AI literacy coursework does not.

How is AI being added to majors outside of computer science?

Individual disciplines are updating existing coursework rather than creating entirely separate AI tracks. Nursing programs are incorporating AI literacy and ethics content based on guidance from the National League for Nursing’s 2025 AI Vision Statement. Medical schools are using frameworks like FACETS to integrate AI into diagnostic and ethics coursework. Business and MBA programs are folding AI tools into analytics and strategy courses.

Why are colleges adding AI to the curriculum now instead of waiting?

Surveys show that the large majority of students were already using generative AI tools before most formal policies existed; in fact, one study found 86% of students use AI regularly. Combined with labor-market data showing AI and digital literacy skills are increasingly expected by employers, institutions are formalizing instruction and ethical guidance rather than leaving students without support.