The American university is undergoing a quiet revolution. For generations, the academic path to a career in technology meant a singular, focused trajectory: a degree in computer science, perhaps, or software engineering. But the rapid integration of artificial intelligence into every facet of life has rendered that model incomplete. We no longer just need people who can build AI; we need people who can apply it meaningfully, ethically, and effectively in fields ranging from history and public policy to journalism and the arts. This is the promise of the “AI+X” degree, an emerging educational model that pairs a core curriculum in Artificial Intelligence with a secondary discipline, the “X.”
While still nascent, this movement is gaining significant traction across the United States, with several pioneering universities launching first-of-their-kind programs designed to shape the future of the workforce. This article explores the vanguard of this movement, analyzing their unique offerings and the profound implications for the future of work and higher education.
The Philosophy Behind AI+X
The AI+X movement is a direct response to a fundamental market and societal reality: technical knowledge alone is insufficient. As Dr. Ellen Schendel, dean of the BGSU College of Arts and Sciences, puts it, “AI affects all sectors and industries…the reality is that technical knowledge alone isn’t enough; we need the critical thinking, creative problem solving and content knowledge of a variety of fields to be ready for the challenges and opportunities of AI” . This sentiment is echoed by leaders at the University at Buffalo, who argue that “AI systems cannot benefit society without an AI workforce that understands society” .
The “X” in these degrees can represent virtually any field—humanities, social sciences, business, or natural sciences—allowing students to tailor their education to a specific career path. Graduates of these programs are uniquely positioned for a labor market where AI literacy is no longer a bonus but a baseline requirement. Data underscores this urgency: job postings requiring AI skills are growing 3.5 times faster than the average for all jobs , and industries integrating AI show four times greater productivity growth .
The Pioneering Institutions
Several U.S. universities have taken the lead in formalizing this interdisciplinary approach, creating innovative structures and departments to support it.
The Flagship: University at Buffalo’s Department of AI and Society
The University at Buffalo (UB) has arguably made the most significant institutional commitment to this model. In 2025, UB launched the Department of AI and Society, a pioneering academic unit based jointly in the School of Engineering and Applied Sciences and the College of Arts and Sciences . Supported by $5 million in state funding, this department is designed to be a hub for the nation’s first interdisciplinary AI+X bachelor’s degrees .
UB’s vision is explicit: to build AI systems where “societal consideration is the main driver of the development of AI models and not an afterthought” . The university currently offers seven distinct AI+X degree paths :
- AI and Geospatial Analysis (Department of Geography)
- AI and Language and Intercultural Competence (Department of Romance Languages and Literatures)
- AI and Language Technology (Department of Linguistics)
- AI and Logic and Ontology (Department of Philosophy)
- AI and Policy Analysis (Department of Political Science)
- AI and Quantitative Economics (Department of Economics)
- AI and Responsible Communication (Department of Communication)
This is not about superficially adding AI modules to existing courses; it is about creating new, integrated curricula from the ground up. For instance, students in the “AI and Language and Intercultural Competence” track will study the relationship between AI and society, learn the basics of AI technologies, and simultaneously master a language—choosing from American Sign Language, Chinese, French, German, Italian, Japanese, Korean, or Spanish—while studying related cultures . The program culminates in a capstone course where students apply their learning to solve real-world problems, utilizing “robust research and development methodologies, including ethical AI frameworks, project management techniques, and hybrid agile development approaches” .
By housing this initiative in a dedicated department, UB demonstrates a long-term commitment to creating an AI workforce deeply grounded in humanistic and social scientific thinking.
The Customizable Model: Bowling Green State University
Bowling Green State University (BGSU) takes a different yet equally compelling approach with its AI+X bachelor’s degree. Positioned as the first customizable degree of its kind in the nation, BGSU’s program allows students to pair a core AI education with a secondary discipline chosen from a specific set of fields: Computer Science, History, Journalism, Mathematics, Physics, or Public Relations .
The program, housed in the Department of Computer Science, ensures a strong technical foundation in Python programming, machine learning, and AI ethics . The “X” component then provides the domain-specific context. For instance, an AI + History student might use machine learning to analyze ancient texts or large historical datasets, while an AI + Journalism student could explore AI-driven audience analytics and investigative reporting .
A significant advantage of this model is its intentional flexibility. As workforce demands and disciplinary expertise evolve, new content domains can be added to the degree, ensuring its relevance in a fast-changing technological landscape . Dr. JK “Jake” Lee, chair of the BGSU Computer Science Department, explained that “AI is no longer exclusive to software engineers. Journalists use it to detect misinformation, historians to analyze ancient texts and physicists to model complex systems or analyze astronomical data” .
Human-Centered AI: University of Maryland
The University of Maryland (UMD) is launching one of the nation’s first interdisciplinary majors focused on the impact of AI on humans, called the B.A. in Human-Centered Artificial Intelligence . Housed in the College of Arts and Humanities, it emphasizes the ethical, social, and human perspectives of technology. The program has two primary goals: to provide students with technical skills to engage with AI meaningfully, and to provide training in human-facing disciplines to understand, evaluate, and contribute to AI work in a unique way .
Students can choose from seven specializations: Arts; Design and User Experience; Ethics; Language and Cognition; Logic, Epistemology, and Machine Learning; Law, Policy, and Governance; and Society, Culture, and Technology . The curriculum includes a mix of technical core courses in programming and machine learning, alongside social and ethical core courses that examine topics like gender, race, and computing, and designing fair systems . This structure is designed to equip graduates to “navigate the social and ethical complexities of AI technologies and to become thoughtful leaders in the field” .
Business & AI Synergy: USC and ASU
Several other universities are focusing on the potent intersection of business and technology. The University of Southern California (USC) offers a B.S. in Artificial Intelligence for Business (BUAI) through a collaboration between the Marshall School of Business and the Viterbi School of Engineering. This program is designed to cultivate “hybrid leaders” who are fluent in both data models and market dynamics. Similarly, Arizona State University (ASU) offers a B.S. in Artificial Intelligence in Business with a strong emphasis on practical learning and innovation, focusing on deploying AI for predictive analytics and operational optimization.
The Arts and AI: UC Santa Cruz’s Creative Technologies
UC Santa Cruz has created a first-of-its-kind major called Creative Technologies, situated at the crossroads of arts and technology and dedicated to exploring digital tools for creativity with an emphasis on collaboration, ethics, and justice . As the first online undergraduate major program in the University of California system, it breaks down barriers to access . The curriculum aims to build literacy in creative tools, cultivate justice-focused and critical perspectives on media technology, and help students establish innovative practices for collaboration . Faculty research explores topics like how to animate Black hair in games and the intersection of race and digital media, embedding social justice into the very fabric of the program .
Conclusion
The emergence of AI+X degrees represents a paradigm shift in higher education. It acknowledges that the most complex challenges—and the most significant opportunities—of the future will not be solved by a single discipline. Whether it’s using AI to create a more equitable economic policy, to uncover historical insights, to build more sustainable business models, or to create more just and accessible art, the future belongs to those who can bridge the gap between the technical and the human.
Universities like the University at Buffalo, BGSU, UMD, and UC Santa Cruz are not just offering new programs; they are actively defining the future of the 21st-century workforce. For students contemplating their future, the message is clear. A degree in pure computer science is valuable, but a degree that equips you to apply AI in a specific context—to become a professional who understands both the code and its consequences—is becoming indispensable.
Frequently Asked Questions (FAQs)
1. What exactly is an AI+X degree?
An AI+X degree is an interdisciplinary program that combines a core curriculum in Artificial Intelligence with a secondary discipline, represented by the “X.” This “X” can be a field like history, philosophy, journalism, business, economics, or the arts. The goal is to train professionals who can apply AI meaningfully and responsibly within a specific domain .
2. Is an AI+X degree as rigorous as a traditional Computer Science degree?
Yes, these programs are designed to be rigorous. They typically include foundational coursework in AI, machine learning, natural language processing, and data analysis, alongside domain-specific knowledge . The focus is different: rather than becoming a pure software engineer, you become an expert in applying AI to solve problems in a particular field.
3. Who are these degrees for?
These degrees are ideal for students who are fascinated by AI but also have a passion for another subject. If you are interested in how technology impacts society, want to use data to inform public policy, or see a future for AI in the arts or humanities, an AI+X degree could be the perfect fit.
4. What kind of careers can I pursue with an AI+X degree?
Career paths are diverse and growing. Graduates can become AI developers or engineers in a specific sector, data scientists, computational historians, AI-driven media analysts, policy analysts, or global business analysts, among many other roles .
5. Which universities offer AI+X degrees?
Several U.S. universities are pioneering this model. Key examples include the University at Buffalo (with its Department of AI and Society), Bowling Green State University (with its customizable program), and the University of Maryland (with its Human-Centered AI major) .