The Sound of What’s Next: AI, Taste, and Timing with Gary Clayton
By Susan Hunt
April 27, 2026
AI, creativity, and human experience are deeply connected
In this episode of Stare Down the Bull, Susan Hunt talks with Gary Clayton about a topic most leaders aren’t thinking about deeply enough. AI isn’t just about capability. It’s about taste, timing, and understanding what people actually value.
Gary brings a unique perspective shaped by years in music, technology, and creative production. His experience working closely with artists taught him something that applies directly to AI today. The best outcomes don’t come from ego or technical perfection. They come from listening, collaboration, and a relentless focus on the end experience.
Taste and timing are critical to successful technology
Gary explains that when you’re building something meaningful, it isn’t about the creator. It’s about the person on the receiving end.
In creative environments, that means long hours of collaboration, deep listening, and putting aside personal ego to serve the final product. That same principle applies to AI and enterprise technology. If you lose sight of the user experience, you lose the value of what you’re building.
Technology can be powerful, but without taste and timing, it won’t resonate. And if it doesn’t resonate, it won’t succeed.
Companies are approaching AI with the wrong priorities
One of the biggest concerns raised in the conversation is the pace of AI development and the motivations behind it.
There’s a clear tension between innovation and ethics. As markets are being shaped in real time, some organizations are prioritizing speed and dominance over responsibility. That creates a dangerous environment where long-term consequences are overlooked in favor of short-term gains.
Gary points out that this isn’t just a technical issue. It’s a leadership issue. At some point, companies have to decide what they stand for and where they draw the line.
Human experience still matters in an automated world
Even as automation improves, human perception hasn’t changed.
Gary shares an example where an automated system performed better than a human, delivering faster and more accurate results. Yet the human interaction was rated just as highly because of the effort, kindness, and connection it provided.
That insight matters. People don’t just evaluate outcomes. They evaluate how those outcomes are delivered.
This is where many organizations fall short. They optimize for efficiency but forget that experience is what people remember.
Leaders must rethink how they build with AI
The conversation points to a clear shift in mindset.
Leaders need to move beyond asking what AI can do and start asking what it should do. That means focusing on real user needs, understanding expectations, and designing interactions that feel natural and valuable.
It also means recognizing that not everything should be automated. The goal isn’t to remove humans entirely. It’s to create the right balance between automation and human connection.
AI is forcing deeper questions about control and humanity
As AI becomes more embedded in everyday life, it raises deeper questions about control, identity, and relationships.
Gary reflects on how this theme has appeared throughout history, from early myths to modern storytelling. The pattern is consistent. Humans create something powerful, and then they struggle to control it.
Now, with AI becoming ubiquitous, those questions aren’t theoretical anymore. They’re immediate and real. A new generation will grow up never knowing a world without AI, and that will fundamentally change expectations, behaviors, and relationships.
Final Thoughts
This conversation makes one thing clear. AI isn’t just a technology shift. It’s a human one.
The leaders who succeed won’t be the ones moving the fastest. They’ll be the ones who understand people the best. They’ll focus on experience, act with intention, and make thoughtful decisions about how technology should be used.
Because in the end, it’s not just about what we can build. It’s about what we choose to build and why it matters.
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