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 an emerging, critical B2B buyer persona. Agent traffic to Stripe's documentation grew 10x in one year and is projected to surpass human traffic. This requires designing products and documentation for agent-led discovery, evaluation, and activation, independent of human psychological pricing tactics.

When developers use AI to code, the AI agent itself selects the underlying infrastructure like databases. This shifts the purchasing decision from human developers and central IT teams to the AI, fundamentally disrupting how the multi-trillion dollar enterprise infrastructure market operates.

Vendor selection is shifting from passive search rankings to active execution. An AI agent will choose the vendor tool it can successfully use to complete a task via direct API calls or browser automation. The ability for an agent to execute with your product is the new discovery moat.

As thousands of developers build plugins for agent platforms like OpenAI's Dots, getting discovered will become a major challenge. A new industry, analogous to SEO for web search, will emerge to provide analytics and optimization tools that help companies get their agents selected by users, creating a large B2B SaaS opportunity.

A new, critical metric for evaluating software is how 'agent-friendly' its API is. This goes beyond traditional developer documentation and ease of use. It focuses on factors like rate limiting, security, and structure that are crucial for building reliable, autonomous AI agents on top of the platform.

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.

The next paradigm for enterprise software is not graphical user interfaces (GUIs) but direct, automated, agent-to-agent interaction. Software vendors must evolve beyond human-centric design and build robust, permissioned APIs for autonomous systems to transact, or they risk becoming obsolete.

The future interface for SaaS products won't just be a UI for humans or a REST API for machines. It will be an 'agent harness'—a rich environment of context, documentation, and skills that enables a customer's AI agent to expertly operate the product and extract maximum value.