GPT-6 answers with clickable tables and screens, not text: your users will expect it too

Today in AI (2026-10-08)

OpenAI launches GPT-6 with interactive answers for all ChatGPT users: ChatGPT now answers with visuals and interactive elements for 1.2 billion users, which raises what customers expect from any product with AI in it.
Anthropic's Claude Haiku 5.5 cuts the cost of everyday AI tasks by 75%: Cheaper, faster AI for summaries and customer support can sharply lower the running costs of AI features in your product.
Musk's Grok assistant will tap Claude, Midjourney and Suno: Even big AI players now mix models from rivals, a sign that founders shouldn't lock their product into a single AI provider.

OpenAI has released GPT-6 to all 1.2 billion ChatGPT users, and the headline feature is something it calls Intelligent UI. Instead of replying with a block of text, ChatGPT can now build visuals, layouts and interactive elements on the fly as part of its answer. OpenAI also says GPT-6 handles complex questions better and recognises risky requests more reliably. The details are in OpenAI's announcement.

My short answer for a founder: you do not need to rebuild anything this week, but you should expect your customers' expectations to move, and you should ask your developer a few specific questions before you commit to it.

I have not used GPT-6 myself, so this post is based on what OpenAI has published, not on hands-on testing.

What Intelligent UI actually is

"UI" means user interface: the buttons, forms, charts and screens a person interacts with. Until now, ChatGPT mostly answered in text. You asked a question, you got paragraphs back.

With Intelligent UI, the answer itself can be a small piece of software. Ask it to compare three pricing plans and you might get a sortable table. Ask about a trip and you might get a layout with options you can click through. The model decides what shape the answer should take and builds it for that one question.

An analogy: before, you asked a consultant a question and they emailed you a memo. Now they walk to the whiteboard, draw the chart you need, and let you move the pieces around. Same expert, very different experience.

OpenAI describes this as combining the interface with data to produce custom responses. In plain terms, the answer is no longer only words. It is words plus a screen assembled for you.

Why it matters

There are two separate effects, and they are easy to mix up.

The first is what you can build. If you use GPT-6 inside your own product, your features may be able to return interactive results rather than text for you to format. That could save design and development time on things like reports, comparisons and guided questionnaires. I would treat that as a possibility to test, not a promise, because the announcement is aimed at ChatGPT users, and what developers get through their own access may differ.

The second is what your customers will expect. This is the bigger one. Over a billion people now have an assistant that answers with something closer to an app than a paragraph. Once people get used to that, a plain chat box in your product starts to feel dated. If your product's AI feature is a text box that returns text, your customers will notice the gap sooner than you would like.

Separate the real from the hype here. Better answers on complex questions and better safety checks are real improvements, but they are OpenAI's claims and your own use case will decide whether you see them. "Interactive answers" is a real change in format. It is not proof that your product needs to become a shape-shifting interface.

Build on it now, or wait?

Here is the decision rule I would use.

Build now if:

Your AI feature is not launched yet, so you have no old setup to untangle.
Your product answers questions with data, comparisons or steps, where a visual answer is clearly better than text.
You can test it cheaply on a small piece of the product before committing.

Wait, or stay put, if:

Your current feature works and customers are not complaining.
Your feature is a background task, like sorting or labelling, where nobody sees the answer. Interactive screens add nothing there. For those jobs a different kind of model is often the better fit, as I explained in decision models explained.
You are in a regulated area and have not yet checked how the new safety behaviour changes your results.

Newness alone is a poor reason to switch. A new model changes how your product behaves, and that has a cost even when the new version is better.

Questions to ask your developer or agency

This is the part to bookmark. Send these before anyone writes code.

What will this cost per customer action? Ask for an estimate based on real usage, and ask how it compares with what we pay today. Interactive answers may be heavier to produce than plain text, so do not assume the price stays the same.
What happens when it is wrong or slow? Ask what the customer sees if the answer fails, comes back broken, or takes too long. A generated screen that fails halfway is worse than a plain text answer.
How do we test before customers see it? You want a set of real questions run against the old and new setup, with results compared side by side.
How hard is it to switch back? If the new model causes problems, can we return to the old one in a day, or have we tied the product to it?
Are we locked in to one provider? Models change fast, and this week's launch is a reminder. Ask how much of the product would need rewriting if we moved to another provider.
What did the old model do that this one might change? Wording, formatting and edge-case behaviour shift between versions. Ask what could surprise us.
What does the safety improvement mean for us? If the model refuses or changes answers in ways your customers rely on, you need to know before launch.

A good developer answers these with specifics and a plan. A weak answer sounds like "it should be fine, it's the newest one."

Common mistakes

Switching everything on release day. Move one feature, measure it, then decide.
Assuming better means cheaper. Newer and bigger models often cost more. Get the number.
Copying ChatGPT's look. Your customers came for your product's job, not for a clone of someone else's interface.
Skipping the fallback. Plan for the day the new model is down or behaves oddly.

What to do this week

Pick the one place in your product where a customer asks a question and gets text back. Write down 10 real examples of those questions. Then ask your developer to run them through your current setup and through GPT-6, and show you the results, the cost, and the failures side by side.

That one comparison will tell you more than any announcement.

Bottom line

GPT-6 turns answers from text into small interactive screens, and that will raise what customers expect from any AI feature. Test it on one real feature with your own questions before you decide to build on it.