According to CNBC, NYU Stern School of Business professor Robert Seamans says his current MBA students aren’t worried about AI’s impact on their job prospects despite recent white-collar layoffs. At last week’s CNBC Technology Executive Council Summit in New York City, Seamans explained that these students have already been in the workforce before returning to school and are accustomed to market ups and downs. His classroom approach focuses on giving students practical AI skills through hands-on experiments, including having them use large language models to strengthen arguments in papers. In one recent assignment, students wrote about return-to-office mandates using AI, then repeated the exercise with AI taking an adversarial “black sheep” position. Seamans found many students preferred the critical feedback approach because it better simulated real workplace dynamics.
The Classroom Reality Versus Workforce Anxiety
Here’s the thing that struck me about this story – we’re constantly hearing about AI anxiety in the workforce, but these MBA students are basically treating it like any other business tool. They’ve seen economic cycles before, and they’re approaching AI with this weird combination of pragmatism and curiosity. It’s almost like they view AI disruption as just another variable in the career equation rather than some existential threat.
And honestly, that makes sense when you think about it. These aren’t fresh-faced undergrads – they’re people who’ve already navigated corporate environments. They’ve probably seen technologies come and go, watched job roles evolve, and understand that adaptability is the real career currency. The professor’s approach of treating AI as something to experiment with rather than something to fear seems to be resonating.
Why The “Black Sheep” Approach Matters
Now the “black sheep” adversarial method Seamans is using? That’s genuinely clever. Most people use AI to reinforce their own thinking – ask it to help write something, summarize information, or support an argument. But having AI deliberately challenge your position? That’s closer to how real business decisions get made.
Think about it – in any decent company, when you present an idea, you’re going to get pushback. Colleagues will poke holes, managers will question assumptions, and someone will inevitably play devil’s advocate. By training students to engage with AI that actively critiques their work, Seamans is basically creating a safe space to develop thicker skin and better reasoning skills.
And the fact that students preferred this approach tells you something about what they value. They’re not looking for echo chambers – they want to be challenged. That’s probably why they’re in business school in the first place.
Larger Implications for Business Education
This approach raises bigger questions about how business schools should be integrating AI into their curricula. Are we teaching future leaders to use AI as a crutch, or as a thinking partner? The difference matters.
Seamans admits they don’t have all the best practices figured out yet, but that’s exactly why experimentation makes sense. We’re in this weird transitional period where nobody really knows the “right” way to use AI in business contexts. The companies that will succeed are probably the ones hiring people who’ve already played with these tools in multiple configurations.
I wonder if we’ll see more business schools adopting similar hands-on approaches. The traditional case study method might need to evolve to include AI collaboration and critique. After all, if technology executives are already dealing with these questions, shouldn’t the next generation of leaders be prepared?
The Job Market Reality Check
But here’s my skeptical side coming out – are these students being overly optimistic? Recent layoffs in tech and finance suggest that AI is already reshaping white-collar work in meaningful ways. Maybe their confidence comes from being in the relatively protected environment of business school rather than facing daily pressure in corporate roles.
Then again, maybe they’re right to be confident. The students who graduate with both traditional business acumen AND practical AI experience might actually be more valuable than ever. They’re not just learning about AI theoretically – they’re getting their hands dirty with it.
So while the rest of us are fretting about whether AI will take our jobs, these MBA students are quietly building the skills to make AI work for them. And honestly? That seems like a pretty smart approach.
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