A CEO and CUX officer perspective on the next UX shift that will divide the industry into two groups: the ones who moved and the ones who watched
A note on perspective: This article is written from the CEO and Chief User Experience Officer chair simultaneously, because the trend I am describing requires those two roles to be in the same conversation, in the same room, and to make the same strategic bet at the same time. The design framing and the business framing are not separable here. If you read this as only a UX article, you will miss the organizational decision inside it. If you read it only as a business strategy article, you will miss why the design decision determines the outcome.
Ferris Bueller did not ask for permission.
He did not wait for his parents to offer the day off. He did not schedule a committee meeting to discuss whether a personal day was strategically advisable. He understood something that most people around him did not: life moves fast, the window is specific, and the people who wait for permission to move through it are still sitting in their rooms when it closes.
He moved.
I have been thinking a lot about that frame as I look at what is coming in UX design over the next eighteen months. A shift is coming that is as significant as the move from desktop to mobile, and most organizations that should be leading it are sitting in the room, waiting for someone above them to say it is time.
The shift is this: your users are no longer only human.
The Trend: Your Product Has a New User, and You Have Not Designed for Them
For the entire history of digital product design, the user has been a person. A human being with a screen, a set of goals, a cognitive load limit, and a trust threshold. Every UX framework, every design system, every accessibility standard, every research methodology in the discipline has been built around that assumption.
That assumption is breaking.
In 2027 and accelerating through 2028, a significant and growing portion of interactions with digital products will not be initiated by a person. An AI agent will initiate them on a person’s behalf. The agent will navigate your product, extract information, trigger workflows, submit forms, and complete transactions, not because a human sat down and decided to use your product in that moment, but because a human, sometime earlier, authorized an agent to act on their behalf across a range of tasks that includes interacting with your product.
This is already happening at the infrastructure level. Developers have been building API integrations between systems for decades. What is different now is that the agent is not a predetermined script written by a developer. It is a reasoning system that encounters your product’s interface without prior knowledge of it and attempts to accomplish a goal using whatever affordances your product exposes.
That is a new kind of user. It has no patience for friction. It has no tolerance for ambiguity in navigation. It cannot read implied conventions. It cannot make the inferential leap that a human user makes when a button label is slightly unclear but contextually interpretable. It can, however, work around a poorly designed interface in ways that produce outcomes your product never intended, at a speed and scale that a human user never could.
Most organizations are not designing for this user. Most organizations still don’t have a strategic position on whether they want this user. And most organizational structures have no one whose job it is to hold both the business implications and the design implications of this shift at the same time.
That is the problem I am writing about today.
What Ferris Understood That Cameron Did Not
Cameron spent the whole movie afraid of what his father would think. Cameron had a point of view. Cameron knew what was wrong. Cameron even knew what needed to change. But Cameron waited for permission to act, and that waiting cost him the day, and nearly cost him more.
Ferris moved because he understood that some windows do not stay open.
The organizations that will lead the agentic UX shift are not going to be the ones with the largest AI budgets or the most sophisticated engineering teams. They’ll be the ones where the CUX officer and the CEO have the same conversation at the same time and move on it before the industry confirms the trend.
Those who wait for confirmation will spend 2027 in catch-up mode, building things they are already behind on. Those who move now will spend 2027 setting the standards everyone else will eventually have to meet.
This is not a prediction about technology. It is a prediction about organizational decision speed. The technology is available. The decision is what is missing.
The Two Product Strategies and Why Only One of Them Wins
Organizations can respond to the rise of AI agents as product users in two ways, and each produces a completely different product and competitive position.
The first strategy is to make AI a feature of your product.
Most organizations are currently executing this strategy. Add an AI assistant to the interface. Build a copilot that helps users accomplish tasks faster. Deploy a chatbot that answers questions inside your product. Surface AI recommendations within your existing workflows.
This strategy is not wrong. It produces real value. It is also a defensive strategy that treats AI as an enhancement to the existing user experience rather than as a signal that the definition of user experience itself is changing.
The product that results from this strategy is a slightly better version of the same product you already had. It is faster, more helpful, and more capable within the interaction model it was designed around. It also assumes the primary user is still a human sitting in front of a screen, and that assumption has a shorter shelf life than the product roadmap built on it.
The second strategy is to make your product a participant in someone else’s AI workflow.
This strategy starts with a different question: when a person deploys an AI agent to manage part of their digital life, will your product be something that agent can work with effectively, or will it be a friction point the agent routes around?
Organizations that answer this question seriously build products with agent-accessible interfaces alongside human interfaces. They design explicit authorization and trust frameworks that allow agents to act on behalf of users within defined and auditable parameters. They expose structured data and action surfaces that agents can navigate reliably, not just the rendered UI that human users see. They build the audit trail and transparency layer that lets a human user understand what an agent did on their behalf inside the product.
This doesn’t eliminate the human interface. It extends the product’s reach to include agent-mediated interactions that will make up an increasing share of digital activity over the next three to five years.
Organizations that adopt this strategy early will be the ones agents learn to use reliably and recommend. Those that don’t will become friction points agents work around, and then users will stop returning because their agent handles everything else more efficiently.
What the CUX Officer Has to Solve That the Product Team Cannot
The Chief User Experience Officer role, where it exists, has historically been positioned as the senior advocate for human-centered design inside an organizational structure that sometimes defaults to engineering-driven or business-driven product decisions. That positioning is correct and it needs to expand.
The CUX officer in 2027 is responsible for defining who the user is, and that definition now includes a non-human entity. This is a conceptual expansion of the role that most current CUX thinking hasn’t fully arrived at, and the organizational decisions that flow from it require both design and executive authority to execute.
Specifically, the CUX officer must solve three problems the product team cannot solve on its own.
The first is trust architecture for dual-user products. When a product serves both a human user and an AI agent acting on that human’s behalf, each user type needs a different trust model. The human needs to trust the product with their data and their decisions. The agent needs to trust the product’s interface to behave consistently and predictably. Humans need to trust the agent to act within the authorization they granted. These three trust relationships intersect in the product’s permission and authorization design, and getting that design wrong creates either a product that agents cannot use reliably or a product that humans cannot trust agents to use safely. That is a CUX problem, not an engineering problem.
The second is interaction standards for agent-facing surfaces. A human reads an error message and infers what went wrong. An agent receives an error response and needs structured, parseable information about exactly what failed and what the valid alternative is. A human navigates an ambiguous UI by making contextual inferences. An agent encountering ambiguity either fails, halts, or behaves unpredictably. Interaction standards for agent-facing product surfaces don’t currently exist in any widely adopted form. The organizations that write them first, for their own products and then as industry contributions, will shape how this category develops. That is a CUX leadership opportunity.
The third is the governance framework that the CEO needs to make the organizational commitment. Building agent-accessible product surfaces requires investment that competes with other roadmap priorities and will not obviously pay off in the quarterly metrics that most product roadmaps are evaluated against. The CUX officer who can articulate the three– to five-year competitive-position argument in language that connects design decisions to business outcomes gets the resource allocation. That requires fluency in both the design and organizational strategy dimensions.
What I Would Do Starting This Quarter
If I am the CEO or CUX officer making this bet today, I won’t wait until 2027 to validate the trend. By the time the trend is validated, the early position is gone.
I commission a rapid audit of every major user workflow in the product and identify which ones are candidates for agent-mediated execution. Not every workflow will be. The ones that are share a profile: they are goal-directed, repeatable, involve information retrieval or form submission, and are currently friction-heavy for human users. Those are the workflows agents will execute on users’ behalf first.
I build the authorization and audit layer for agent interactions before I build the agent-facing interfaces. Governance must precede capability, because deploying agent-accessible product surfaces without an authorization model creates a security and liability problem that will immediately reverse any early-mover advantage.
I assign a named owner for the agent experience, the same way I would assign a named owner for the mobile experience or the accessibility program. Not a committee. One person is accountable for what it looks like when an AI agent tries to accomplish a task in our product, and what the human on the other end of that interaction understands happened.
And I move before the organization is ready, because organizations that wait for readiness never ship anything important. Readiness is a story organizations tell themselves about risk management while competitors make the decisions that matter.
Ferris did not wait for the weather to be perfect. He checked the forecast, saw the window, and left.
The forecast for agentic UX is clear. The window is open. The question is whether you’ll take the day.
Sources: Gartner, “The Rise of Agentic AI: Product Strategy Implications,” 2026; Stanford Human-Computer Interaction Group, “Designing for Human-AI Agent Collaborative Workflows,” 2025; McKinsey Digital, “AI Agents and the Future of Digital Product Strategy,” 2026; Nielsen Norman Group, “Agent-Mediated User Experiences: Emerging Research,” 2026; MIT Computer Science and Artificial Intelligence Laboratory, “Trust Models for Agentic Systems,” 2025; Forrester Research, “The Dual-User Product: Designing for Humans and Agents Simultaneously,” 2026.