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 ›› Content and Copy ›› UX Design Begins With Content. Don’t Outsource It to AI

UX Design Begins With Content. Don’t Outsource It to AI

by Pavel Samsonov
2 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As if AI-generated “user research” wasn’t bad enough, now I am seeing designers advance LLMs for generating UI content – forgetting the most important design adage, “form follows function.” The digital equivalent is not the function of clicking the button but the function of *accessing the content.*

All the way back in 2002, Jesse James Garrett created this incredible model, which I use frequently to structure my work. And to explain to junior designers the extent of the depth they need to consider, because 22 years after this was published few of them even know what a “hypertext system” even is, and envision their work exclusively as a software interface.

Without both of these pillars, your UX design will fall over.

Some UXers understand this partially – but think that the interface is “more important” and the content can come afterward. These are the people who champion ChatGPT as a great alternative to Lorem Ipsum. And they repeat the same mantra as every designer who invites AI into their workflow: “It’s just for now, we will fix it later.”

You will *not* be able to fix it later.

The elements you are generating are *foundational* to the way the product is used. They are not stacked on top. If you decide to outsource your thinking about the hypertext system, redoing it will require ripping out the guts of the software interface layers you have built in parallel.

The content – not the beautiful scroll animations – is the thing people use your product for. It is not lesser than. It is not an afterthought. It even has its own set of roles (content design, UX writing, information architecture, etc).

The content is the scaffolding of the experience. When you minimize it, it is only to your own detriment.

post authorPavel Samsonov

Pavel Samsonov
Pavel Samsonov is a New York-based UX leader exploring the applications of design as a decision-making framework for all areas of product development. He currently builds design practice and leads innovation engagements at AWS. His approach to product & design draws on his experience managing enterprise product teams at Bloomberg, design-driven rapid prototyping in the start-up world, traditional graphic design education, and an academic background in human-computer interaction.

Tweet
Share
Post
Share
Email
Print
Ideas In Brief
  • The article emphasizes the critical importance of content in UX design, warning against the reliance on AI-generated content and underscoring the foundational role content plays in the user experience.

Related Articles

AI won’t take the blame — you will. In the age of automation, real leadership means owning the outcomes, not just the tools.

Article by Anthony Franco
The AI Accountability Gap
  • The article reveals how AI doesn’t remove human responsibility — it intensifies it, requiring clear ownership of outcomes at every level of deployment.
  • It argues that successful AI adoption hinges not on technical skills alone, but on leadership: defining objectives, managing risks, and taking responsibility when things go wrong.
  • It emphasizes that organizations able to establish strong human accountability systems will not only avoid failure but also accelerate AI-driven innovation with confidence.
Share:The AI Accountability Gap
4 min read

Forget chatbots — Agentic AI is redefining how work gets done. Discover the myths holding businesses back and what it really takes to build AI with true agency.

Article by Josh Tyson
Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
  • The article reframes Agentic AI not as a tool, but as a strategic approach to automating high-value tasks through orchestration and dynamic objectives.
  • It argues that success with Agentic AI lies in starting small, experimenting quickly, and integrating agents around outcomes — not traditional workflows.
  • The piece emphasizes the need for open, flexible platforms that enable multi-agent collaboration, rapid iteration, and seamless integration with legacy systems.
Share:Five Myths Debunked: Why Agentic AI Is Much More Than Chatbots
8 min read

What if you could build software just by talking to your computer? Welcome to vibe coding, where code takes a back seat and the vibe leads.

Article by Jacquelyn Halpern
Vibe Coding: Is This How We’ll Build Software in the Future?
  • The article introduces vibe coding, using AI to turn natural language into working code, and shows how this approach lets non-coders build software quickly and independently.
  • The piece lists key tools enabling vibe coding, like Cursor, Claude, and Perplexity, and notes risks like security, overreliance on AI, and the need for human oversight.
Share:Vibe Coding: Is This How We’ll Build Software in the Future?
7 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