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AI is not a feature but a complete reimagining of user experience. Product leaders must now design for interactions that originate outside their app and for users that are not human. The next wave of "users" will be other AI agents interacting directly with your system's agents.

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Companies must now design their products, from documentation to onboarding, for a new primary user: the AI agent. This "Agent Experience" (AX) is critical because agents are how a new, massive user base will interact with and build upon platforms, making it a product's North Star.

Historically, software was built for predictable human workflows. Now, with AI agents executing thousands of unpredictable, low-latency queries simultaneously, product design must prioritize their needs. These agents will eventually select their own infrastructure, fundamentally changing the B2B buying process.

AI agents are becoming the dominant source of internet traffic, shifting the paradigm from human-centric UI to agent-friendly APIs. Developers optimizing for human users may be designing for a shrinking minority, as automated systems increasingly consume web services.

For tools designed for AI interaction, the ease with which an agent can use the product (AX) is as critical as the user experience (UX) for humans. This can be improved by directly asking the agent for feedback on how to make the product more ergonomic for it.

AI agents bypass traditional user onboarding, immediately push software to its limits, and even request missing API functionality. This requires a fundamental shift in product development, focusing on robust, agent-friendly infrastructure rather than just human-centric UIs.

The number of AI agents will soon vastly exceed human employees. This requires a fundamental shift in software development, prioritizing API-first design, reliability, and machine-to-machine interaction over traditional human-centric user interfaces.

As AI agents increasingly interact with software to perform tasks, a new field of "Agent Experience" (AX) is emerging. The same principles of identifying and resolving friction in human user journeys (UX) will need to be applied to optimize the performance and efficiency of these automated agents.

Brevo's Channing Ferrer foresees two UX futures. While human-centric design remains vital, 'extensibility' and proper data indexing will become the new 'UX for robots.' This ensures AI agents can effectively find, evaluate, and purchase products on behalf of businesses and consumers.

Soon, AI agents will make purchasing decisions for humans, creating a new economy that will dwarf human traffic. Businesses must shift from optimizing a "pixel-perfect" UI for humans to a "bits-perfect" platform for agents, focusing on API clarity, data structure, and overcoming agent biases.

A major architectural shift is underway: instead of embedding AI features into a product, companies should treat AI as an external agent that uses the product via a CLI or API. This simplifies integration and better aligns with AI's capabilities.