05/27/2026
“Change is happening much faster than we are able to respond to it.”
Tomer Cohen, MBA ’10, former chief product officer at LinkedIn, spoke with AI@GSB founding scholar Jenni Steiger, MBA ’26, sharing five takeaways on how roles and industries are changing and on who is most at risk as AI transforms work.
1) Change is Outpacing Best Practices
“You build best practices, they last a decade or two, then change happens, and now change is happening faster than best practices are being created.”
Current work structures aren’t built for the moment; they assume things will stabilize, Cohen says. In building future work environments, the big vision will be how to build in people’s capacity to handle change.
2) The “Full Stack Builder” Archetype
“The role of a builder is actually quite simple: You take an idea and bring it to life.… Right now, we have the ability to collapse the stack and go back to craftsmanship.”
At LinkedIn, Cohen explains, AI is collapsing the organizational stack, shifting toward “Renaissance builders” — individuals who can flex across product, design, and engineering to bring ideas to life on their own.
3) Mid-career Professionals Face the Highest Risk
“My concern with mid-career talent is you’ve built best practices. You already have this adverse reaction to change, and your roles are going to be disrupted massively.”
Early-career talent is “AI native” and malleable, Cohen says. To survive, mid-career professionals must adopt a “beginner’s mindset,” learn best practices as they go, and become a “change engine.”
4) Moving from Consumption to Outcomes
“[Companies] no longer need you to learn how to use AI. People are over that hump. They’re like, Okay, we need you to actually produce outcomes.”
There needs to be change management within an organization around AI, Cohen says. No longer is there a need to track how many people are adopting AI; instead, it’s time to start tracking how AI drives experiment velocity, engagement, and revenue growth.
5) Vibe Coding and Hands-on Internalization
“I had people who were building tremendous technologies for years, saying, ‘Until I did it, I didn’t realize it. I didn’t know how powerful this is.’ So they were able to talk the talk, even work on the job, but weren’t internalizing it until they actually felt it in their hands.”
Cohen walked his leadership team through a 15-hour AI hackathon. Only by building can you truly internalize the power of AI and reimagine your roadmap from scratch, he says.
AI@GSB is a dean’s initiative that leverages Stanford’s position at the intersection of business and technology to empower the next generation of global business leaders to harness the transformative power of artificial intelligence responsibly, creatively, and strategically.
Watch the interview here: https://youtu.be/FDjrDeIZAk4?si=5ChDDmvXrYp6EP_j
Photos by Saul Bromberger