OpenAI has announced a new Intelligent UI capability for ChatGPT, introduced alongside GPT-6, that lets the assistant return responses with interactive interface elements rather than text alone. According to OpenAI, responses may now include items such as charts, diagrams, forms and tappable buttons.

While the announcement is primarily a product update, it is relevant for European businesses because it points to a shift in how generative AI tools may be used inside business processes: not only as text assistants, but as lightweight interactive interfaces for explaining information, collecting inputs and guiding tasks.

What happened

OpenAI said it is rolling out the new feature to ChatGPT users and that GPT-6 has been trained to decide when an interactive visual response may be more useful than plain text. The company’s examples include visual explanations supported by clickable interface elements.

Based on the announcement, the key change is not simply better formatting. It suggests ChatGPT may increasingly act like a hybrid between a chatbot and a small application interface, presenting information in more structured and task-oriented ways.

At the time of the announcement, the available information described the capability at a high level. Businesses should distinguish between what OpenAI has announced and what has been independently verified in production environments, especially for business-critical use cases.

Why it matters for European businesses

For SMEs and digital teams, one of the main limitations of chat-based AI has been that text-only answers are not always the best format for decision-making or workflow execution. Interactive responses could make AI outputs easier to use in practical business settings.

Potential business relevance includes:

• Internal support and training: AI assistants may explain processes, systems or products with visual steps rather than long text answers.
• Data presentation: teams may find charts and structured visual summaries easier to review than narrative responses alone.
• Workflow guidance: forms and buttons could help collect inputs or move users through repeatable tasks.
• Customer-facing experiences: companies exploring AI support tools may see new opportunities to design more guided and usable interfaces.

This also matters for digital strategy. If major AI platforms increasingly blend conversation with interface components, businesses may need to rethink how they design knowledge bases, support flows and internal automation tools. The competitive question is no longer only which model generates better text, but which platform helps users complete work more efficiently.

Who may be affected

The update is most relevant to organisations already using ChatGPT or evaluating generative AI for day-to-day operations.

• SMEs and founders testing AI for productivity, reporting and internal documentation.
• Marketing teams using AI for planning, analysis and campaign reporting, where visual outputs may improve usability.
• IT and digital teams building AI-enabled internal tools, copilots or support assistants.
• E-commerce businesses exploring AI for guided product assistance, customer service or operational dashboards.
• Agencies and consultancies that create AI-supported user experiences for clients.

Regulated businesses may also pay attention, especially when AI-generated interfaces are used to support decisions, gather user data or interact with customers in contexts where auditability and oversight matter.

What companies should consider

European businesses do not need to treat this announcement as a reason for immediate large-scale deployment, but it is a useful signal of where AI interfaces are heading.

• Review AI use cases: identify tasks where visual and interactive outputs would be more useful than text-only answers, such as reporting, onboarding, troubleshooting or workflow intake.
• Test usability carefully: interactive AI responses may improve speed and clarity, but only if outputs are reliable and understandable for staff or customers.
• Check governance and risk: if employees rely on AI-generated charts, forms or buttons, businesses should define when human review is required.
• Consider integration strategy: teams should assess whether these capabilities fit existing support, CRM, analytics or automation workflows.
• Watch data and compliance issues: if AI interfaces collect business or personal information through forms or guided interactions, companies should review privacy, retention and access controls.

The broader takeaway is that generative AI tools are moving beyond conversation into interface generation. For European companies, that could create practical opportunities in productivity and automation, but the business value will depend on controlled deployment, clear governance and whether the feature performs reliably in real work environments.