The belief that a specific year will finally bring the Linux desktop to mass adoption is a recurring phenomenon that has never materialized. While conventional obstacles like proprietary software compatibility, gaming support, and power management are real, they explain individual user hesitation rather than the structural reasons the desktop ecosystem remains dominated by Apple and Microsoft. A more profound shift is redefining what it means for a computer to be usable: the primary user is no longer just a human, but increasingly an artificial intelligence agent. This transition relies heavily on deep system accessibility, a feature set that macOS now executes far more effectively than its competitors. The foundation of this capability lies in accessibility Application Programming Interfaces (APIs). On macOS, these tools expose a hierarchical tree of UI objects, allowing software to interact with windows, buttons, and text fields programmatically. Originally designed to assist visually impaired users through screen readers and voice control, this architecture has become the critical infrastructure for AI agents. OpenAI recently integrated similar capabilities into its Codex computer use feature, a functionality bolstered by the acquisition of a twelve-person company called Software Applications Incorporated in October 2025. The founders of this company, which had previously sold Workflow to Apple, built a system that allows AI to manipulate the entire macOS environment without interrupting the user. This success was not merely about the existence of an API, but rather about defaults. Apple mandated that standard applications built with common controls automatically provide high-fidelity accessibility trees. Developers did not need to write extra code; the infrastructure was built into the SDK. Consequently, the blind users who were the original beneficiaries of these features are now inadvertently creating a perfect environment for billions of AI agents. In contrast, while Windows offers a technically sophisticated accessibility framework known as Microsoft UI Automation, its utility for agents is hampered by historical fragmentation. The Windows ecosystem is a mixture of legacy technologies, including Win32, WPF, UWP, and various Electron apps. Because the system does not enforce consistent accessibility compliance across these diverse frameworks, AI agents often encounter broken or empty interfaces that provide no usable data. Microsoft has the API, but half the platform fails to implement it correctly. Linux faces even greater challenges. Although it possesses an accessibility stack called AT-SPI, the desktop environment lacks centralization and standardization. Features required for agent interaction, such as screen capture, window enumeration, and input synthesis, are scattered across different protocols and compositors. Under the Wayland display server, these functions rely on complex portals and prototypes like Newton, which are not yet rigorously defined or universally adopted. Major distributions like GNOME and KDE have not committed to a unified approach. Without a centralized review process or market mechanism to enforce compliance, Linux cannot guarantee that an AI agent will find a consistent interface across different systems. Statistical data from April 2026 shows Linux holding only 2.99% of the global desktop market, a figure that has barely changed despite significant usability improvements over the last four years. The metric for a successful desktop has shifted from human enjoyment to machine operability. Apple has built this machine-readable world for thirty years, inadvertently preparing for the age of AI. Microsoft has the tools but lacks the enforcement. The Linux community has the pieces but lacks the cohesion to assemble them. Until Linux can establish a centralized, enforced standard for accessibility that treats AI agents as first-class citizens, the desktop will remain inaccessible to the future workforce of robots.