UX Collective: What changing means for designers in the AI era

What the article is about

Cassie McDaniel, VP of Design at Medium, wrote this piece for UX Collective in July 2026 as a recap of a panel discussion on AI and design practice. The session was organized by Elliot Dahl, Head of Product Design at Hightouch, and included designers Allie Vogel and Joey Banks alongside McDaniel. The article works through responses to the panel questions, giving a ground-level account of how senior designers at technology companies are thinking about the transition.

Context

The discussion was built around a central premise: AI adoption in design is no longer a question of whether but of how. The panel was not framed around tool comparisons or workflow tips, but around the organizational and cultural changes that AI is forcing teams to confront. At Medium, McDaniel noted, AI has been reshaping how the design team approaches certain categories of work — though she acknowledged that many specifics are still unsettled, even at a company with significant technical resources and an AI-informed product roadmap.

The panel covered three recurring themes: how individual designers are integrating AI into daily work without losing a sense of ownership over the output; how design teams are deciding which tasks AI should handle and which should remain under direct human control; and how organizations are communicating expectations to designers who are at different stages of AI adoption. The conversation reflected a moment of active, uncertain transition rather than a settled new normal.

Key takeaway

The article does not offer a single method or workflow, but it does identify a consistent pattern across the panelists’ experiences: designers who are doing well with AI integration are the ones who have developed a clear opinion about what their judgment is actually for. They use AI to generate options, compress iteration cycles, and handle execution-heavy steps, but they are explicit — with themselves and with their teams — about where human decisions still need to drive the work. The risk McDaniel and others described is that speed pressure and AI availability combine to erode that clarity: teams start accepting AI-generated outputs not because they are right but because they are fast and good enough.

The piece ends with a version of an argument that appears often in 2026 design writing but is grounded here in specific team experience: taste, curiosity, and the ability to evaluate quality under time pressure are becoming the skills that differentiate designers as generation tasks become more automated.

Who it is useful for

Designers at any level who are trying to articulate what their work is for in an environment where AI can produce visual output on demand. Also relevant for design managers and team leads who are working through conversations with their teams about quality standards and role expectations.