The recent surge in conversation around AI agents has done more than introduce a new technology trend. It has unsettled long-held assumptions about how digital value is created and delivered. Analysts are now openly debating whether the multi-billion-dollar Software-as-a-Service (SaaS) industry could be facing an existential reckoning as AI systems and autonomous agents advance rapidly.
When reasoning, decision-making, and orchestration no longer live inside individual applications, the centre of gravity of experience shifts. This moment is less about tools and more about structure — and it is an important time to reflect on what that shift means for customer experience.
This article builds on ideas explored in my recent conversation with David Carro, Head of Direct-to-Consumer at Samsung Electronics Iberia, on The CX Algorithm Podcast. One insight stood out clearly: as customers increasingly delegate decisions to AI agents, customer experience does not disappear — it relocates.
From Navigated Journeys to Delegated Decisions: How AI Agents Expand SEO and CX
For much of the last decade, CX strategy has assumed that customers actively move through journeys. They search, browse, compare, hesitate, and decide. Brands respond by designing touchpoints, optimising interfaces, and shaping moments intended to influence perception and emotion. AI agents disrupt this model by changing who carries the cognitive load.
For example, for years, SEO has been about making content understandable to machines so it could be discovered by humans. Brands optimised for keywords, links, and technical structure to help search engines crawl, rank, and reward their content. In essence, organisations learned how to communicate clearly with bots so they could earn attention from people.
AI agents extend that logic rather than replace it.
Large language models and generative systems still rely on structured, credible, and well-articulated information. The difference is that content is no longer optimised primarily for clicks, but for decisions. Brands are no longer competing only for visibility in search results, but for inclusion in an agent’s reasoning process.
This requires a shift in mindset. The focus moves from keywords to moments — moments where a customer is trying to solve a problem, make a choice, or resolve uncertainty. Technical SEO remains important, but it becomes table stakes. What matters more is whether an agent can understand a brand’s purpose, value, and reliability in context.
Retail offers a clear illustration. Amazon’s AI shopping assistant, Rufus, allows customers to move from intent to recommendation conversationally, drawing on product data, reviews, and context without requiring traditional browsing. Discovery, evaluation, and comparison happen inside the agent, not across a sequence of pages. (as described by Amazon here).
In this environment, SEO evolves into something broader: an ecosystem of signals that help intelligent systems understand who you are, what problem you solve, and why you should be trusted at the moment a decision is made.
Customer experience follows the same trajectory. It becomes less about guiding journeys step by step, and more about being present — and relevant — at the exact point where a decision is delegated.
As AI agents reshape discovery and decision-making, they also transform the very structure of the customer journey. The traditional model assumes a fixed web: predefined pages, standard flows, and static touchpoints that every customer must navigate, regardless of context.
That assumption is beginning to break.
In an agent-driven world, customers no longer visit a single, static version of a website. Instead, they — or their agents — declare intent, and the experience is generated dynamically in response. The web becomes conversational rather than navigational. Each interaction creates a version of the experience tailored to the customer’s needs in that moment.
This shift is already visible in emerging forms of generative search and conversational commerce. Rather than landing on a homepage, customers engage through a dialogue. They express what they are looking for, refine their preferences, and receive responses that adapt in real time. The experience changes depending on whether they are a first-time visitor or a returning customer, whether they are price-sensitive or value-driven, whether they are browsing broadly or ready to buy. For instance, Google’s AI Mode in Search allows users to ask conversational, natural language queries and receive rich, visually organised results tailored to their expressed intent, blurring the lines between search, discovery, and personalised experience.
What emerges is not a linear journey, but an ephemeral experience — a version of the web assembled on demand. Product recommendations, offers, discounts, and even content depth adjust dynamically. Carts can be built conversationally. Information density expands or contracts based on intent. Each interaction generates a different experience, optimised for relevance rather than consistency.
This represents a fundamental shift for customer experience design. The focus moves away from managing fixed touchpoints and toward orchestrating personalisation at scale. Experience is no longer something customers move through; it is something that forms around them.
For CX leaders, this changes the design challenge entirely. The question is no longer how to optimise pages or flows, but how to ensure that every generated experience — however brief or unique — delivers clarity, relevance, and trust. Personalisation becomes the journey, and intelligence becomes the interface.
In an agent-mediated world, customer experience is not just about one agent acting on behalf of a customer. It’s about an entire ecosystem in which both demand-side agents (for consumers) and supply-side agents (for brands) coexist, interact, and negotiate value.
From the customer’s perspective, agents are tools of convenience and productivity — systems that save time, reduce effort, and act on intentions without requiring manual navigation through pages or menus. From the brand’s perspective, agents are beginning to serve as both touchpoints and execution layers — resolving inquiries, shaping offers, and even completing transactions.
This duality introduces a new middle layer for experience, one that is structurally different from the traditional flow where a person moves directly from discovery to purchase. Instead of a single, linear journey, experience becomes a dialogue between autonomous systems designed to act on behalf of each participant in the transaction.
To illustrate how this is already taking shape, consider Google’s recent unveiling of the Universal Commerce Protocol (UCP) — an open standard co-developed with major retailers and platforms to enable agentic commerce across the entire shopping lifecycle, from product discovery to checkout to post-purchase support. UCP provides a common “language” through which AI agents and commercial systems can interoperate seamlessly, allowing customers to complete purchases directly within conversational interfaces like Google’s AI Mode and Gemini, while enabling merchants to customise their backend logic and remain in control of pricing, inventory, and fulfilment (announced by Google here).
This example is significant for several reasons. It signals that commerce is no longer siloed behind individual websites or apps; instead, it is emerging as an integrated network of agents that can communicate, negotiate, and execute on behalf of both consumers and businesses. In such a system, experience is not shaped solely by what customers do, but by what agents enable before customers even interact with it.
What CX Leaders Must Do Now: Value Before Everything
Amid all the noise around AI agents, the question facing CX leaders is surprisingly simple: what value are we actually creating?
Customer experience has always been about the exchange of value between a business and its customers. What changes in the age of AI agents is not the principle, but the pace. Customer behaviours and mental models are evolving faster than organisations can adapt — a pattern we have seen before during digital transformation, but now at far greater speed.
The priority is not adopting AI for its own sake, but using it to deliver meaningful benefit to the customer. When AI agents genuinely reduce effort, improve relevance, and resolve problems faster, they also create value for the business through growth and cost efficiency. Moving the needle ultimately comes down to two levers: increasing value in or reducing value out.
This is why impact must come before optimisation. Technology alone does not move the needle — customer impact does. If organisations get the fundamentals right and use AI in service of the customer, commercial outcomes tend to follow.
There is a well-known story about an empty chair in Amazon boardrooms representing the customer. In the age of AI agents, that chair still matters. It now also represents the systems making decisions on the customer’s behalf. Designing CX today means ensuring those systems consistently act in the customer’s best interest.
Customer experience is not disappearing in the age of AI agents. It is being re-engineered — quietly, structurally, and irreversibly.
🎧 Listen to the Full Conversation
These are only some of the themes explored in my conversation with David Carro. I encourage you to listen to the full episode of The CX Algorithm Podcast to go deeper into how AI agents are reshaping customer experience and its ecosystem.
https://open.spotify.com/episode/3ufvvKxhmfVDe4aoJxi652?si=uCEr9osxSy2aF_8kIiuCfg
Dr. Eslam Afifi is a customer experience and data leader whose work sits at the intersection of human behaviour, technology, and decision-making. His career spans multiple industries and regions, where he has helped organisations navigate complexity, design better experiences, and make sense of the growing role of data and AI in everyday decisions.
Curious by nature and sceptical of one-size-fits-all thinking, Eslam created The CX Algorithm to explore how customer-centricity actually works in practice. Through conversations with leaders from different contexts, the podcast unpacks the choices, trade-offs, and design decisions that quietly shape customer experience over time.
Follow The CX Algorithm for thoughtful conversations on experience, intelligence, and leadership — and a reminder that great CX is designed, not declared.
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