AI isn't just a feature; it's a fundamental UI/UX shift. B2B software that isn't conversational or agent-driven now feels "terrible" and dated. This shift is causing a potential "terminal decline" for incumbents who can't adapt, as value accrues to the new agentic layer.

Most users only scratch the surface of complex enterprise software. AI agents will bridge this gap by interpreting natural language requests and executing complex tasks on the user's behalf. This transforms the user experience from learning features to simply stating goals, unlocking decades of untapped capabilities.

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.

As users increasingly rely on AI agents, traditional graphical user interfaces will become obsolete. SaaS products must evolve to offer conversational interfaces that other agents can interact with directly. The primary user will shift from a human clicking buttons to another AI sending messages.

Users now expect to interact with an AI agent within an application to manage it effectively. Without one, users can't self-serve or easily manage complex workflows, leading to failures like providing outdated information.

The success of new AI startups is driven by a desire among managers to replace human-led processes with autonomous agents. Customers don't want AI to make their teams slightly better; they want an agent that eliminates the need for the team entirely. This is a demand most incumbent software companies misunderstand and fail to serve.

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.

While corporate leaders plan slow, top-down AI strategies with RFPs, early-adopter employees will bring consumer tools into the workplace. This grassroots adoption will make the transformation a 'fait accompli,' similar to how consumerized SaaS previously spread within enterprises.

The future of enterprise software is not better UIs, but their complete removal. AI agents will handle tasks based on natural language prompts, interacting with backend systems like Salesforce directly. This will fundamentally re-engineer systems of work away from human-centric interfaces.