When building AI-driven workflows, the primary interface becomes the API, not the GUI. A tool's value is determined by its programmatic control. Consequently, a clunky UI with a strong API like Salesforce can be superior for AI integration than a tool with a slick UI but a weak API.

As AI agents become the primary 'users' of software, design priorities must change. Optimization will move away from visual hierarchy for human eyes and toward structured, machine-legible systems that agents can reliably interpret and operate, making function more important than form.

Previously, building bespoke software for niche internal problems was too expensive. AI agents dramatically lower this cost, allowing companies to create custom-fit solutions for 99% of their problems, ending the era of contorting workflows to fit generic, off-the-shelf tools.

Unlike traditional software that optimizes for time-in-app, the most successful AI products will be measured by their ability to save users time. The new benchmark for value will be how much cognitive load or manual work is automated "behind the scenes," fundamentally changing the definition of a successful product.

The next billion AI agent users will not interact via developer-centric interfaces like Telegram. The winning platforms will be opinionated, provide guardrails, and hide technical complexities like tool calls, offering a user experience closer to a polished SaaS product.

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 foundational AI models become commoditized, the key differentiator is shifting from marginal improvements in model capability to superior user experience and productization. Companies that focus on polish, ease of use, and thoughtful integration will win, making product managers the new heroes of the AI race.

With AI commoditizing code creation, the sustainable value for software companies shifts. Customers pay for reliability, support, compliance, and security patches—the 'never ending maintenance commitment'—which becomes the key differentiator when anyone can build an initial app quickly.

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.