In a recent LinkedIn post, John Cutler discusses the inherent skepticism of User Experience (UX) professionals towards Artificial Intelligence (AI), framing it not as resistance to progress, but as a natural consequence of their training and role. Cutler, a prominent voice in the product and design community, argues that UX practitioners are uniquely positioned to understand the second and third-order effects of technology, a perspective that naturally leads to caution when evaluating new tools like AI.
Cutler opens by directly addressing the perception of UX professionals as AI skeptics:
“UX people are the biggest AI skeptics.”
He elaborates on this by explaining that the core of design work involves understanding complex implications, a task far removed from merely creating aesthetically pleasing visuals. This deep understanding of consequences is what drives their cautious approach to AI.
The Nature of Design and Consequence
According to Cutler, the design field has always been tasked with articulating its value beyond superficial aesthetics. This responsibility extends to grappling with the implications of democratizing design – balancing broader participation with the need for specialized skills to maintain quality.
He draws a parallel with experienced engineers who understand that simply having access to a vast code corpus does not equate to producing good engineering. Similarly, Cutler contends that plugging screenshots into an LLM to simulate “good design” misses the fundamental practice of actual good design.
“Yes, you can plug a bunch of screenshots into an LLM and simulate “good design.” But that is not the same thing as doing good design.”
As Cutler points out, this skepticism is not born from a fear of innovation but from a rigorous training in noticing and analyzing effects.
Generalization vs. Context in AI and UX
Cutler identifies the most significant tension not as AI versus design, but as generalization versus context. He explains that AI systems excel at extracting patterns and generalizing from data.
In contrast, UX professionals are trained to identify the limitations and failures of these generalizations. Their role involves pinpointing who might be excluded by broad patterns and understanding the repercussions when these generalizations are embedded into products.
UX at the Epicenter of Human Behavior Assumptions
“UX professionals sit at the epicenter of seeing what assumptions about human behavior can do to experiences, products, accessibility, ethics, and people themselves,” Cutler writes. This position demands a critical examination of how generalized AI outputs might impact real users and systems.
He posits that the essence of UX work is challenging flawed generalizations about people while simultaneously identifying commonalities that enable usability and navigability. This balancing act requires a nuanced understanding that AI, in its current form, may not fully grasp.
“On some level, that is UX: challenging bad generalizations about people while finding enough commonality to make things useful and navigable.”
Skepticism Rooted in Optimism
Cutler concludes by differentiating between skepticism and cynicism among designers. He argues that UX professionals, at their core, often possess a deep optimism about human potential. Their skepticism, therefore, stems from a serious consideration of context, consequences, and the inherent complexity of human behavior.
“So yes, that is why you might find skeptics among UX folks. But not cynics,” Cutler emphasizes. He urges a greater understanding and appreciation for this perspective, suggesting that designers’ caution is a sign of their commitment to creating responsible and effective user experiences.
📝 About This Content
This article is based on insights shared by John Cutler on LinkedIn.
📅 Originally posted on July 16, 2026 | View original post on LinkedIn →