Aram Andreasyan
July 2, 2025

Rethinking AI Design | 6 Smart Shifts Changing How We Use Technology

Over the past decade, I’ve had the privilege of working as a UI/UX designer across a wide range of industries — from tech startups to established global companies. My journey in design has brought me into collaboration with some of the most respected names in the field, and I’ve had the honor of leading panel discussions, contributing to design sprints, and mentoring emerging creatives navigating the evolving landscape of digital experience.

Throughout my career, I’ve always been drawn to those defining moments where design and innovation intersect — the places where user needs, technology, and creativity come together to shape how we live and work. Today, that intersection is clearer than ever in the world of AI. As someone deeply involved in product design, I’ve watched closely how artificial intelligence is reshaping interaction models, and how we — as designers — must rethink the very foundations of our tools, methods, and assumptions.

Now, I want to share some of the most important design shifts I’ve observed in the AI space — breakthroughs that are not just inspiring but transforming how people connect with technology. These six key elements mark a new chapter in user experience design, and they are redefining how we build, think, and collaborate with machines. Let’s explore them together.

Aram Andreasyan

1. Conversations as Interfaces (ChatGPT)

Main idea: People are used to having conversations — why make things harder?

When ChatGPT came out with its chat-based interface, it made talking to AI feel simple and natural. Before that, AI tools felt like programming platforms — useful but not friendly. By turning the interaction into a conversation, OpenAI helped millions understand and use AI easily. Today, almost every AI app uses a similar format.

Even though it seemed like a small change, this design choice turned out to be one of the most powerful ideas. It made AI more human, and conversation is now the main way we share thoughts with machines.

2. Showing the Sources (Perplexity)

Main idea: Trust grows when users can see where answers come from.

Many people liked ChatGPT but weren’t sure how much they could trust its answers. That’s where Perplexity made a big change — by adding real-time sources to AI responses. This made it easier to check information and gave people more confidence when using AI for research or learning.

Now, showing sources has become an expected feature in search-style AI tools. This simple but important feature changed how people think about using AI for real tasks.

3. Creating with AI (Claude’s Artifacts)

Main idea: Conversations can lead to real, reusable content.

Claude introduced a feature called Artifacts that showed how AI can help create actual content — not just ideas. Instead of using AI as a helper, users could create something valuable together with the AI.

This change helped move AI from being just a tool to a creative partner. You could chat with the AI and then take the best parts of the conversation to use in your own projects. It made working with AI feel more productive and inspiring.

4. Using Your Voice (Voice Input)

Main idea: Speaking is more natural than typing.

Talking out loud helps us express ideas more freely. With better speech recognition now, voice input has become a powerful way to work with AI. While earlier voice assistants weren’t very helpful, today’s AI systems understand speech much better.

Voice input lets you be more creative and share ideas more naturally. Many people still feel unsure about using it, but it’s worth trying. It’s becoming one of the most useful ways to interact with AI, especially when you’re brainstorming or exploring ideas.

5. Working Inside Your Tools (Cursor IDE)

Main idea: AI is more helpful when it works inside your daily tools.

Cursor is a good example of how AI can be built directly into tools we already use — in this case, for coding. It turns code editors into smart environments where AI helps write, explain, and fix code.

This makes it easier for people to get started or return to coding after a break. Instead of switching between apps, the AI is part of your workflow, helping you in real time. This design helps people stay focused and move faster.

6. Help When You Need It (Grok Button on X)

Main idea: AI help is most useful when it’s available right when you’re confused.

Sometimes when you’re scrolling through content, you don’t understand something — maybe a meme or an article. The Grok button gives instant help, offering explanations with just one click. It’s built right into the app, so it’s always there when you need it.

This kind of design — called ambient assistance — shows how AI can be part of your everyday experiences, not just a separate tool. It’s a small idea with a big impact, and it’s likely we’ll see more of it in the future.

Final Thoughts

These six design breakthroughs show us that we’re in the middle of a huge change in how we work with technology. Each one started with a simple idea, but together, they are helping us imagine what the future of human-AI interaction could look like.

As designers and users, we’re not just watching these changes — we’re part of them. This is a chance to create something new, to shape how technology fits into our lives. What ideas will you bring to the table?

Aram Andreasyan
Industry Leader, Design Expert