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Writing Team
:
Aug 27, 2025 8:00:00 AM
Clay Shirky just delivered the most important wake-up call higher education has received in decades, and marketing leaders should be paying attention.
NYU's vice provost has watched "even the good students"—the ones who show up engaged and ready to discuss readings—use AI to avoid the mental effort that actually creates learning. His solution isn't to ban AI or pretend it doesn't exist. Instead, he's calling for a return to oral examinations, in-class essays, and real-time demonstration of knowledge. It's brilliant, necessary, and exactly what the marketing industry needs to steal immediately.
Shirky's "medieval turn" toward oral assessment and blue book exams isn't regressive—it's the only rational response to a generation that's outsourced thinking to algorithms. When students can use AI to critique AI-generated content, traditional assignment structures become meaningless. But here's what AI can't do: think on its feet, adapt to unexpected questions, or demonstrate genuine understanding in real-time conversation.
This matters enormously for marketing education. The skills that make great marketers—strategic thinking under pressure, cultural intuition, ability to read human psychology and adapt messaging in real-time—these can't be algorithmically generated. They have to be developed through practice, failure, and iterative learning.
Universities are facing the same crisis we identified in our recent coverage of AI job displacement: how do you develop expertise when you've eliminated the struggle that creates it? Shirky puts it perfectly: "A student who cuts and pastes a history paper is enrolled in a cutting and pasting class, not a history class."
The same logic applies to marketing education. Students who use AI to generate campaign strategies aren't learning strategic thinking—they're learning prompt optimization. Those who rely on AI for consumer psychology analysis aren't developing empathy and cultural awareness—they're becoming sophisticated copy-paste operators.
Most business schools are teaching AI tools as productivity enhancers without addressing the fundamental question: what happens to skill development when mental effort becomes optional? Shirky's research shows that encouraging "engaged" AI use—asking students to critique or modify AI output—doesn't prevent lazy deployment. Students just use AI to generate the critiques.
This mirrors what we see in entry-level marketing roles. Junior professionals who rely on AI for ideation, copywriting, and strategic analysis never develop the tacit knowledge that makes senior marketers valuable. They become AI operators, not marketing thinkers.
Shirky's emphasis on oral examination and real-time interaction offers a perfect model for marketing talent development. The best marketing minds excel at Socratic dialogue—probing assumptions, testing ideas against reality, adapting strategies based on feedback. These skills can only be developed through practice with human conversation, not AI collaboration.
Universities implementing device-free classrooms and requiring students to demonstrate knowledge without algorithmic assistance are essentially creating training grounds for marketing professionals who can think independently. This is exactly what agencies and brands need: people who can operate effectively when the AI systems inevitably fail or produce inadequate results.
The requirement for unscripted office hour interactions that Shirky advocates perfectly mirrors what marketing employers actually need to assess: can candidates think strategically without a prompt library? Can they adapt their communication style to different audiences? Can they handle unexpected questions about campaign performance or consumer behavior?
The students who thrive in Shirky's new assessment model—those comfortable with extemporaneous thinking and real-time problem-solving—are exactly the candidates marketing organizations should be prioritizing for internships and entry-level roles.
Shirky's most important insight is that universities aren't "in the information transfer business" but "the identity formation business." This distinction is crucial for marketing education. Information transfer can be automated—AI can deliver facts about consumer behavior, campaign mechanics, and platform algorithms. But identity formation—developing judgment, cultural awareness, and strategic thinking—requires human interaction and mental effort.
We're now 1,000 days since ChatGPT's release, and Shirky's observation about the devaluation of "ordinary writing" has profound implications for marketing careers. As business writing becomes increasingly automated, the premium shifts to professionals who can think strategically, communicate authentically, and adapt quickly to changing contexts.
The universities implementing rigorous, AI-resistant assessment methods aren't just preventing cheating—they're developing the exact skill sets that will remain valuable as AI handles routine marketing tasks.
The companies hiring graduates from programs that have embraced Shirky's approach will have a significant competitive advantage. These candidates will be comfortable with uncertainty, skilled at real-time adaptation, and capable of independent strategic thinking. They'll be marketing professionals who enhance AI capabilities rather than depend on them.
This isn't about resistance to technological change—it's about ensuring we develop marketing talent that can actually add value in an AI-augmented world.
Looking to hire marketing talent that can think strategically beyond AI prompts? Winsome Marketing's growth experts help companies identify and develop professionals who bring authentic human insight to AI-powered campaigns.
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