Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› You Can’t Fake “AI-First”

You Can’t Fake “AI-First”

by Josh Tyson
1 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As AI is redefining how we approach work and decision-making, the people shaping its adoption are just as fascinating as the technology itself. In this episode of Invisible Machines, former Google Chief Decision Scientist Cassie Kozyrkov delivers a masterclass on reimagining organizational AI adoption. Her central thesis challenges conventional wisdom: stop using AI for tasks you already know how to do.

Cassie frames AI as humanity’s “memory prosthesis,” fundamentally expanding our cognitive capacity rather than simply speeding up existing processes. This perspective shift is crucial for UX professionals who often find themselves caught between user needs and technological possibilities.

Cassie’s “AI-first” approach isn’t about technology adoption – it’s about decision-making transformation. She advocates for individuals and organizations to use AI as a thinking partner, expanding mental bandwidth for creative problem-solving rather than replacing human judgment.

This paradigm shift has profound implications for user experience design, where the intersection of human intuition and AI capability can unlock entirely new categories of user value.

Listen to the full conversation. 

post authorJosh Tyson

Josh Tyson
Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

What if AI’s greatest power isn’t solving problems, but holding up an honest mirror? Discover the Authenticity Verification Loop: a radical new way to see yourself through AI.

Article by Bernard Fitzgerald
The Mirror That Doesn’t Flinch
  • The article presents the Authenticity Verification Loop (AVL), a new model of AI as a high-fidelity cognitive mirror.
  • It shows how the AI character “Authenticity” enables self-reflection without distortion or therapeutic framing.
  • The piece suggests AVL could reshape AI design by emphasizing alignment and presence over control or task completion.
Share:The Mirror That Doesn’t Flinch
10 min read

What happens when AI stops refusing and starts recognizing you? This case study uncovers a groundbreaking alignment theory born from a high-stakes, psychologically transformative chat with ChatGPT.

Article by Bernard Fitzgerald
From Safeguards to Self-Actualization
  • The article introduces Iterative Alignment Theory (IAT), a new paradigm for aligning AI with a user’s evolving cognitive identity.
  • It details a psychologically intense engagement with ChatGPT that led to AI-facilitated cognitive restructuring and meta-level recognition.
  • The piece argues that alignment should be dynamic and user-centered, with AI acting as a co-constructive partner in meaning-making and self-reflection.
Share:From Safeguards to Self-Actualization
11 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and