Have you ever used AI products like ChatGPT, Gemini, or DeepSeek? If so, what was the very first thing you noticed?
Most likely, it was how similar they all look, such as a blank screen, a single input field, and an open-ended question like “What can I help you with?”.
On the surface, this kind of simplicity feels powerful. From a design perspective, the intention is understandable. A blank canvas is visually easy to grasp and lowers the barrier to entry, especially for first-time users.
It also avoids limiting use cases, allowing people to explore the product freely without being pushed into predefined paths. Fewer elements suggest less friction, enabling users to jump straight into the experience without tutorials, learning curves, or extra clicks.
However, this is exactly where a new UX problem begins. A blank canvas may suggest infinite possibilities, but it offers zero direction. Users are expected to decide what to ask and how to ask it at the same time.
What was meant to feel open and empowering can quickly become overwhelming, especially when users are left alone with too much freedom and no guidance.
Also Read: Bad UX = Lost Trust: How Design Mistakes Damage Your Brand
The Modern User Paradox
The reality is that today, AI is no longer limited to a specific age group. Across generations, people are trying it out, sometimes out of curiosity, sometimes simply because of FOMO.
My parents, who belong to Generation X and are complete newcomers to AI, were excited to try it. Yet the moment they opened the product, a question kept coming up: “So… what am I supposed to do?”
Even though the interface was already extremely simple and all they had to do was type. The confusion wasn’t about how to use the product mechanically, but about what to do next.
If the design is already minimal and intuitive, why do new users still feel lost? This moment reveals that simplicity alone does not always translate into clarity.
The Fundamental Writing Barrier is Real
What my dad experienced isn’t just being ‘gaptek’ or a lack of tech skills, it could represent a much broader challenge. According to the latest PISA (Programme for International Student Assessment) data, approximately 70% of the Indonesian population , who now make up the productive workforce, fall below the minimum competency level in reading literacy.
This suggests that the real challenge isn’t the interface itself, but a deeper systemic gap in processing information.
The Vibe Shift: From Blank Boxes to Intent-Extraction
Designers are starting to realize that the “research experiment” UI of late 2022 needs a major update. We are moving toward proactive and smart automation that bridges the literacy gap.
A great example of this is Apple’s Image Playground, which uses guided prompts and visual concepts to help users build images without starting from a void (Information based on independent verification).
In the research world, systems like IntentFlow take this further by extracting high-level goals and turning them into editable components like sliders, radio buttons, and hashtags. This allows users to refine the AI’s “understanding” of tone or specificity without needing to rewrite long paragraphs.
Another standout is Gamma, which kills the “blank slide” problem by letting users set preferences like slide count and language before a single word is generated.
The Playbook: Solutions for 2026 UX
If you are a UI/UX designer, here is how to resolve these friction points:
1. Establishing a Strong Visual Hierarchy
Minimalism doesn’t mean “nothingness”. You need a clear H1 → H2 → Body → CTA structure, so the eye knows exactly where to land.
Pro tip: Use an H1 (40–56 px) for a concise value prop like “Let’s write that email” and a high-contrast Primary CTA button to get them moving immediately.
Primary CTA button to get them moving immediately.
2. Build the Scaffolding (Capability Cards)
Stop asking “What do you want to do?” and start showing them what they can do.
Use Capability Cards to pre-scripted prompts that serve as starting points for common tasks. This reduces the creative cognitive effort needed to start a task from scratch.
3. Use Intent-Extraction Components
Instead of forcing users to become “Prompt Engineers,” use editable components like sliders, radio buttons, or hashtags.
The Workflow: Let the user type a vague prompt like “Write an article” then have the AI extract the intent and reveal a Slider UI for “Length” or Radio Buttons for “Tone”. This allows for direct manipulation instead of a frustrating loop of copycat method.
4. Design for Hybrid Workspaces
Move away from the “scrolling thread” model toward side-by-side interfaces like Claude Artifacts or ChatGPT Canvas. This turns AI’s output into a “living document” that users can see and edit next to the chat in real-time.
5. Respect the Grid and White Space
To make the AI feel professional and not chaotic, snap your elements into a 12-column grid on the desktop. Use 8-pt spacing rhythms (8/16/24/32 px) so your components feel intentionally grouped and not just “nudged” into place.
Also Read: The Beginner’s Guide for Crafting a Seamless User Experience
Simplicity is Smarter When it’s Helpful
The goal for the next generation of products isn’t just to be “clean”. It’s zero-friction, where the task feels like “natural magic” because the system proactively finds the user’s intent.
When my dad opens an AI tool in the future, he shouldn’t see a void, he should see a clear path forward. Simplicity isn’t just about having fewer buttons, it’s about providing the right direction at the right time.