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.

The Agentic Era of AI: Transforming the Future of UX Design

AI leaders across the board are pointing toward a clear trend: agents are becoming the next frontier in the evolution of large language models (LLMs).

In a recent interview with Wired, Google’s Demis Hassabis described this as the next big step change. Similarly, OpenAI’s Sam Altman has emphasized that helpful AI agents could become the technology’s “killer function”. 

And Anthropic’s Dario Amodei, in conversation with Ezra Klein, called this shift a “significant unlock”, forecasting that we may be only months away from a widespread agentic future.

In an Agentic UX (AX), an AI agent primarily deals with three loads: cognitive, creative, and logistical.

• Cognitive: The built-in agent pulls analysis and makes decisions.
• Creative: The built-in agent takes on visualization and creates media.
• Logistical: The built-in agent makes tasks operational and builds workflows

This AI-first architecture is shaping the role of AI in digital experience design.

Why AX Matters for Creating Intelligent and Personalized User Experiences?

As I discussed earlier, it is a leap forward in the lifecycle of AI. Organizations will use AI more prominently, Agentic AI in their upcoming products and services, as they are providing more value to the customer experience. In today’s digital environment, we don’t just want a product with good UX. We need intelligent, adaptive systems that feel personalized and remain frictionless. Designing user experiences with AI makes this possible.

This can be easily achieved with Agentic AI, and with the help of AX, we can build intuitive AI user experiences tailored to end users. Leveraging AI development services helps companies accelerate the implementation of intelligent, agent-powered systems.

Examples of the Agentic future of UX are already here: Adobe’s Gen Studio, Intercom’s Copilot, and Dovetail’s Magic Experience are some of the products that are already establishing the AI and UX trends 2025. AX can bring the following capabilities to digital products and services:

Future Readiness

• AI agents not only interact with humans and machines they can also adapt, interact, and integrate with other AI bots. This enables seamless integration, a key requirement in AI and user interface design.
• This brings future readiness to the product, as integrating a new system with an existing one will be easy and less time-consuming.

Faster Task Completion

• The product built with AX will give instant results to the human supervisor, which will make his/her decision-making process faster & more efficient.

Scales Beyond Human Limitations

• Instead of manually doing the tasks one by one, agents can work on multiple tasks at the same time by using different bots allocated for the different tasks.
• Without any time constraints, an agent can run hundreds or thousands of tasks simultaneously, demonstrating the scale possible with AI-driven UX design.

Improves Reliability & Trust

• A good AX ensures consistent and predictable interactions for agents. It can reduce human errors and deliver AI-enhanced user experiences across platforms.

Creates Competitive Advantage

• Companies with strong AX design will always have more edge than any non-AX or average AX companies.
• It becomes a strategic differentiator, similar to how good UX became a market advantage in the 2010s.

A well-structured UX for customer experience helps build long-term user trust and loyalty, making AI-driven products more impactful.

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