Think Fast Talk Smart: Communication Techniques
Think Fast Talk Smart: Communication Techniques

326. Rethinks: The Secrets to Getting the Information You Need from AI

September 24, 2026

AI Summary

5 min read

In a study involving hundreds of participants from companies across Europe and the U.S., teams using generative AI to solve real workplace problems produced a surprising result: the teams that generated the best ideas actually felt worse about the process than the teams that produced mediocre ideas. The teams that felt like they had superpowers underperformed, while the teams that felt like they were doing hard work outperformed. This counterintuitive finding drives home the central lesson of the conversation between host Matt Abrahams and researchers Jeremy Utley and Kian Gohar: effective use of AI for creativity and problem-solving is not about getting quick answers, but about having a demanding, iterative conversation.

The "Magic" Trap and the Work of Real Collaboration

The root of the underperformance problem, according to Utley, is a widespread mindset issue. People approach AI expecting magic. "The premise and the promise of AI... maybe strikes fear into a lot of people's hearts," Utley said. "But when you start there and you think, 'All I have to do is ask a question, and then I get answers.' Well, guess what? You do. You ask a question, and you get three pages of call it B-plus documentation." This feels magical, so teams stop there, satisfied with a competent but generic output.

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What you'll learn

  • 1 (03:16) **Study Design: AI vs. Human Ideation** - Kian explains the motivation and methodology of the study, which tested whether AI could improve team problem-solving.
  • 2 (05:53) **Counterintuitive Core Finding: Magic vs. Work** - Jeremy summarizes the key result: teams that approach AI like a conversation partner outperform, but they feel worse doing it.
  • 3 (07:08) **Why the "Feeling Worse" is a Good Sign** - Kian elaborates on the psychological barrier to effective AI use.
  • 4 (10:22) **The FIXIT Methodology (F & I)** - Jeremy introduces the first two steps of his five-step framework for turbocharging AI collaboration.
  • 5 (11:43) **The FIXIT Methodology (X, I, T)** - Jeremy completes the framework, emphasizing context, iteration, and team incubation.
  • 6 (15:25) **Practical Advice: The Interface Matters** - Kian offers three specific, actionable tips for improving your conversation with an LLM.
  • 7 (18:29) **Advanced Iteration: Brokering Conversations Between AIs** - Jeremy and Kian describe how to use LLMs to critique and improve each other's work.

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Guests on this episode

Matt Abrahams

Show Notes

“Most teams leave the vast majority of their innovation potential on the table.”

If you treat artificial intelligence like an oracle, you’ll likely be disappointed. But treat it like a teammate, and Jeremy Utley and Kian Gohar say you may be surprised by how useful a collaborator it can be. Utley, an adjunct professor at the Stanford d.school, and Gohar, a bestselling author and futurist, have studied how teams can use AI to generate more creative ideas and solve problems. Their research shows that tools like ChatGPT can unlock new possibilities, but only when teams know how to work with them. In this episode of Think Fast, Talk Smart, Utley and Gohar join Matt Abrahams to discuss how to move beyond treating AI like a magic 8-ball and start using it as a creative partner for brainstorming and innovation.


Takeaways:

  • Treat AI like a teammate, not an oracle. AI becomes more useful when you actively collaborate with it, asking questions, building on responses, and using it as a partner rather than expecting one perfect answer.
  • Better AI collaboration can unlock better ideas. Integrating AI into brainstorming and problem-solving can help teams expand their thinking, generate more possibilities, and tap into creative potential they might otherwise leave unexplored.


Activity:

  • Give AI a seat at the table. During your next brainstorm, treat AI as another member of the team. Ask it to contribute ideas, challenge the group’s assumptions, or suggest a direction no one has considered yet.


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