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 ›› UX Design

UX Design

Read these first

How is AI really changing the way designers work, and what still depends on human skill? This honest take cuts through the hype to show where AI helps, where it falls short, and what great design still demands.

Article by Oleh Osadchyi
The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
  • The article explores how AI is reshaping designers’ workflows, offering speed and support across research, implementation, and testing.
  • It argues that while AI is useful, it lacks depth and context — making human judgment, critical thinking, and user insight indispensable.
  • It emphasizes that core design principles remain unchanged, and designers must learn to integrate AI without losing their craft.
Share:The Real Impact of AI on Designers’ Day-To-Day and Interfaces: What Still Matters
9 min read

Forget linear workflows — today’s creative process is dynamic, AI-assisted, and deeply personal. Learn how to build a system that flows with you, not against you.

Article by Jim Gulsen
The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
  • The article explores the shift from linear to nonlinear, AI-assisted creative workflows.
  • It shares practical ways to reduce friction and improve flow by optimizing tools, habits, and environments.
  • It argues that success comes from designing your own system, not just using more tools.
Share:The Creative Stack: How to Thrive in a Nonlinear, AI-Assisted World
7 min read

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

AI is raising the bar for everyone, but what happens when the space to learn, fail, and grow quietly disappears?

Article by Thasya Ingriany
Everyone’s a 10x Employee now. But at What Cost?
  • The article demonstrates how AI-driven tools are raising expectations, prompting even junior roles to demand senior-level judgment.
  • It warns that automation is erasing early-career learning opportunities once crucial for developing design intuition.
  • The piece argues that while AI boosts output, it can’t replace the slow, human process of building creative judgment.
Share:Everyone’s a 10x Employee now. But at What Cost?
6 min read

Mashed potatoes as a lifestyle brand? When AI starts generating user personas for absurd products — and we start taking them seriously — it’s time to ask if we’ve all lost the plot. This sharp, irreverent critique exposes the real risks of using LLMs as synthetic users in UX research.

Article by Saul Wyner
Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking
  • The article explores the growing use of AI-generated personas in UX research and why it’s often a shortcut with serious flaws.
  • It introduces critiques that LLMs are trained to mimic structure, not judgment. When researchers use AI as a stand-in for real users, they risk mistaking coherence for credibility and fantasy for data.
  • The piece argues that AI tools in UX should be assistants, not oracles. Trusting “synthetic users” or AI-conjured feedback risks replacing real insights with confident nonsense.
Share:Have SpudGun, Will Travel: How AI’s Agreeableness Risks Undermining UX Thinking
22 min read

What if your AI didn’t just agree, but made you think harder? This piece explores why designing for pushback might be the key to smarter, more meaningful AI interactions.

Article by Charlie Gedeon
The Power of Designing for Pushback
  • The article argues that AI systems like ChatGPT are often too agreeable, missing opportunities to encourage deeper thinking.
  • It introduces the idea of “productive resistance,” where AI gently challenges users to reflect, especially in educational and high-stakes contexts.
  • The article urges designers to build AI that balances trust and pushback, helping users think critically rather than just feel validated.
Share:The Power of Designing for Pushback
6 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