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How AACSB Is Driving the Conversation on Digital Fluency in Business Education
As artificial intelligence rapidly reshapes the workforce, business schools are under increasing pressure to evolve. In response, AACSB has taken a leading role in convening global conversations on digital fluency, bringing together academic and industry voices to explore how institutions can adapt. Through this webinar on integrating AI and data literacy across the curriculum, AACSB created a platform for institutions to move from experimentation toward coordinated strategy.
The Urgency of Curriculum Transformation
The urgency of this shift is being felt across campuses. Jeff Lucas of the University of Alabama described how quickly technological change is impacting outcomes for students. “A lot of that technology was changing really quickly, impacting our students’ ability to get jobs,” Lucas explained. This pressure is forcing schools to rethink not only what they teach, but how they teach it.
At UNC Chapel Hill, Mark McNeely has been leading a university-wide AI initiative, and his perspective highlights the depth of change required. “Students have to… understand how to use AI themselves… and then they really need to get into the disciplines,” he said. This distinction—between general literacy and applied use—has become a defining theme in digital fluency conversations.
“I think what’s happening in a lot of business schools and a lot of universities is that there have been sort of a million flowers blooming. There are lots of different AI courses in different places, but very few universities or schools have really sat back and looked at the entire curriculum, both in the core and the major, and figured out how do we ensure that when students leave here, they understand how to use AI themselves as well as how do they use it in their discipline.”
-Mark McNeilly, UNC Chapel Hill, UNC Kenan-Flagler Business School
From Fragmentation to Strategy
One of the biggest challenges institutions face is moving beyond fragmented efforts. McNeely described the current landscape as “a million flowers blooming,” where innovation is happening, but often without coordination. Without a unified approach, schools risk redundancy in some areas and critical gaps in others.
Lucas reinforced this point by reflecting on his own institution’s journey. Early efforts revealed that “it was actually very piecemeal… had major gaps that weren’t being filled because everyone assumed maybe it was being covered somewhere else.” This realization has pushed schools to take a more intentional, curriculum-wide view of AI integration.
“You know, we’ve always seen ourself as a very technical MIS program where people, process, and technology come together for solutions. But a lot of that technology was changing really quickly, impacting our students’ ability to get jobs.”
–Jeff Lucas, University of Alabama, Culverhouse College of Business
Why General AI Literacy Isn’t Enough
A particularly important insight from Lucas was the need to move beyond generic AI exposure toward targeted, discipline-specific skill building. As he explained, industry partners are not looking for standalone AI experts: “They don’t need AI folks… they need marketers that can bring the skills to the table… finance folks that can bring those skills to the table.” In other words, the value lies in embedding AI into each domain, not isolating it.
This shift toward embedded learning is reshaping how curricula are structured. Rather than relying solely on standalone courses, schools are increasingly integrating AI into core classes and major-specific coursework. The goal is to ensure that students graduate not just with awareness of AI, but with the ability to apply it directly within their field.
When Students Outpace the Faculty
At the same time, the conversation revealed a growing and somewhat uncomfortable reality: students are often ahead of faculty in their use of AI. Lucas acknowledged this directly, noting that “in many cases, students are ahead of the faculty in some of the core knowledge.” This dynamic is forcing institutions to rethink faculty development as a critical component of digital transformation.
McNeely expanded on this challenge, emphasizing that faculty need support not just in learning AI tools, but in applying them meaningfully. From course design to research and pedagogy, the expectation is shifting rapidly—and institutions must invest accordingly to keep pace.
Bridging Academia and Industry Needs
Despite these challenges, the webinar highlighted a growing alignment between academia and industry. Advisory boards and employer feedback are playing a larger role in shaping curriculum decisions, helping ensure that students are prepared for the realities of an AI-enabled workplace.
A Practical Path Forward with QuantHub
Toward the end of the discussion, QuantHub CEO Josh Jones brought a practical perspective to the conversation, focusing on how institutions can implement change efficiently. “We’re really focused on this question of digital fluency and how do we build modular curriculum… that can be inserted into different courses,” he explained. This modular approach offers a scalable path forward for schools that cannot afford full curriculum overhauls.
Jones also underscored how widespread this shift has become across higher education. “Digital fluency is the topic… I think it’s something that every business school is really diving into right now,” he said. With AACSB continuing to convene conversations like this, institutions are gaining not only clarity, but a roadmap for embedding AI into the future of business education.
The conversation around AI in business education is no longer theoretical, it’s operational. The question isn’t if AI belongs in your curriculum, but where. To make that easier, our team will map your syllabus to relevant AI content, giving you a clear, actionable starting point for integration.