AI UX in 2025: The Rise of AX and the Future of User Experience

Introduction

Over the past two years, AI has been growing at an unprecedented rate. Generative AI is reaching new levels every day. AI tools like Chat-GPT, Gemini, Microsoft Copilot, Perplexity, Grok, and many others contribute to answering simple questions for individuals and helping scientists solve complex issues.

Day by day, AI-powered UX and intelligent systems are becoming an integral part of our lives. To interact with them on a broader spectrum, a new era of AI is emerging that is Agentic AI. To make Agentic AI work in a more structured and hassle-free manner with humans, the AX (Artificial Experience) is born.

What is AX? Exploring Agentic Experience in the Context of AI UX

Agentic Experience (AX) is a design paradigm for the age of AI agents. AX focuses on how an AI bot interacts with digital products, services, and ecosystems and provides the required results to humans or another system. These AI-driven systems are reshaping the future of UX design. Agents are not sophisticated chatbots; they are autonomous decision-makers acting on behalf of humans on a designated scale. The term Agentic Experience (AX) was first popularized by Samet Özkale in his LinkedIn article on how AX is redefining product design.

Agentic AI can interpret context, make decisions, and act independently on behalf of users or organizations. AX will determine how agents interpret, decide, and at what level they can act independently. In simple words, AI UX helps humans to navigate digital products, and AX helps AI agents.

With the rise of AI in product design UX, agents are becoming primary users of APIs, interfaces, and data. This requires standard, structured, and secured mechanisms for agents to:

Understand capabilities (what actions are possible)
Discover information
Execute tasks efficiently

To provide the correct mechanisms for Agentic AI, AX plays an important role in shaping AI-enhanced user experiences. This evolution pushes UI UX design services to adapt for both human and AI-driven interactions.

Examples
Travel Booking
Instead of a person searching flights, comparing options, and booking tickets, an AI agent interacts directly with a travel API, interprets preferences, and books tickets. This showcases how AI-driven personalization in UX can remove friction from routine tasks.

E-commerce
Agents negotiate prices, compare specs, and auto-order supplies for individuals or businesses. It can also provide feedback and reviews on the product page on behalf of the user if the user raises concerns. Evaluating the response will help the seller while repurchasing the product. This shift is an example of how AI is changing UX in digital commerce.

Enterprise Systems
AX allows agents to generate reports, trigger workflows, or optimize operations with minimal human clicks, demonstrating the impact of AI on the user journey across business operations.

To explore how evolving AI systems are influencing the future of UX design, check out how collaboration between designers and developers is reshaping digital experiences.

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