Frontier is designed to be a central hub for deploying and managing AI agents across enterprise systems. This positions OpenAI to become the primary user interface for work, potentially demoting established SaaS tools like CRMs to mere data repositories.

OpenAI has quietly launched "skills" for its models, following the same open standard as Anthropic's Claude. This suggests a future where AI agent capabilities are reusable and interoperable across different platforms, making them significantly more powerful and easier to develop for.

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.

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.

With numerous AI "super agent" platforms offering similar capabilities, the most effective approach is to choose one and commit to it. Deeply integrating a single tool into your workflows and refining skills within that ecosystem yields far better results than superficially using multiple agents and succumbing to tool fatigue.

The race in enterprise AI isn't just about agent capabilities, but about owning the central dashboard where employees direct agents across all applications (Salesforce, Jira, etc.). Companies like OpenAI and Microsoft are vying to become this primary interface, controlling the customer relationship and relegating other apps to the background.

Legacy systems like CRMs will lose their central role. A new, dynamic 'agent layer' will sit above them, interpreting user intent and executing tasks across multiple tools. This layer, which collapses the distance between intent and action, will become the primary place where work gets done.

The next major leap for AI is its ability to connect disparate apps and data sources (email, calendar, location) to take autonomous actions. This will move AI from a Q&A tool to a proactive agent that seamlessly manages complex workflows.

Traditional SaaS was built for siloed human departments (e.g., sales, marketing, support). AI enables a single agent to manage the entire customer journey, forcing these distinct software categories to converge into unified platforms.