This Week’s Updates

Enabling the Team

You Might Be A One-Company Manager by Karol Wójciszko
Growing into management inside one company can mask how much performance comes from context, trust and reputation, so switching environments becomes the real test that forces managers to build portable skills like influence, feedback and decision-making from scratch.

Building An AI-Positive Work Culture by Jakob Nielsen
Employer encouragement predicts workplace AI adoption almost 5x more strongly than training or tool provision alone. This 10-step playbook shows design leaders how to build a culture where AI adoption happens naturally, without mandates, surveillance, or wasted training budgets, while avoiding the cybersecurity pitfalls of “Shadow AI.”

Product Direction

Unexpected Lessons From An AI-Assisted Prototyping Experiment by Olivia Xu
AI-assisted prototyping works best when it tightens the loop between design, engineering and product, letting teams test real interactions earlier, surface constraints sooner and replace handoffs with shared iteration inside the actual product.

Discovery VS Delivery by Buzz Usborne
AI compresses delivery far more than discovery, so the real differentiator shifts upstream to judgment about what should exist, what is worth building and where original product ideas come from instead of just how fast teams can ship. 

Continuous Research

When To Use (And Avoid) Synthetic Research Participants by Bridget Bidlack
Synthetic participants can help researchers pressure test guides, explore edge cases and generate hypotheses, but they break down on emotional nuance, real behaviour and high stakes decisions, so teams need to treat them as a prep tool rather than a substitute for real human evidence.

The Great UXR Transformation by Madeline Kleiner, Trish Miner, and Katie Rotella
AI is pushing UX research beyond interface studies toward shaping model behaviour itself, so researchers need stronger technical fluency, faster mixed-method workflows and tighter cross-functional collaboration to turn human insight into output quality, trust and better AI experiences.

Continuous Design

AI Doesn't Read Your Design System The Way You Do by Robin Cannon, VP of Product, Knapsack
Ask an AI tool to build a screen today, and it won't reach for your design system; it reaches for whatever's already in its training data, like shadcn/ui. Your team spent years building a component library. The fastest-growing consumer of your UI never opened it. Robin's argument: a component is a cache of decisions, not the decisions themselves. People fill in the missing context from memory; AI can't. The fix isn't a bigger library — it's decision coverage: how much of your team's reasoning is captured somewhere a machine can actually read. Two teams can have identical component coverage and wildly different decision coverage — and it's the second number that predicts whether AI builds the right thing.

Why AI Is Making Design Converge On The Same Look by Anamol Rajbhandari
AI gives individual designers more range and speed while pulling the field toward the same statistical average, making human taste, constraints and deliberate judgment essential for avoiding generic work and preserving creative difference.

Continuous Development

You’re Not Behind. This Is Your Problem by Fran Soto
As AI makes engineering roles broader and career advice noisier, software engineers need a clearer specialism, deeper judgment and visible proof of expertise rather than presenting themselves as generic builders who can do everything.

State Of AI 2026 by Devographics
AI-assisted coding is becoming standard practice, with developers reporting that 54% of their code is now AI-generated, but hallucinations, weak code quality and missing context remain widespread, showing that faster adoption has not removed the need for human review and engineering judgment.

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Knapsack Is Back With UXDX!

We’re partnering across San Francisco and New York

We’re excited to share that Knapsack will be joining us as a UXDX partner for a second year, supporting UXDX San Francisco 2026 and UXDX New York 2027.

What we really value about the Knapsack team is that they do more than help companies build and scale design systems. Through their Patterns events and wider community work, they actively bring product, design and engineering teams together around what is working in practice.

For UXDX San Francisco, we’re developing a hands-on workshop with Knapsack exploring how AI is changing design systems and how cross-functional teams build together. More details coming soon…

FREE COMMUNITY EVENTS 

Video Of The Week

The Handoff Was Never The Product:
How AI Can Bridge Design And Development

Design handoff has never been as simple as passing over a Figma file. Products continue to be shaped through development, QA, edge cases, business rules and the many decisions that surface only once teams try to build the thing.

In this UXDX Community talk from Lisbon, Nuno explores how AI can help designers, developers and product managers identify missing decisions earlier, from error states and permissions to accessibility requirements and design system drift. A useful watch for anyone trying to improve the space between design and development, reduce ambiguity, and build more shared context before small gaps become expensive problems:

Want to go into how careers and leadership are shifting as AI compresses the ladder? My ebook Managing Your Career In The Age Of AI explores how to build judgment, relationships, and influence in a world that keeps trying to automate the surface of the work.