Generative AI has stepped into the age of L3 autonomous execution agents. Yet, the computing sector grapples with structural hurdles, including soaring computational expenses and the challenge of safeguarding data security. Establishing a computing foundation that is both cost-effective and stable, while adhering to regulatory standards, has emerged as the linchpin for surmounting these industry-wide obstacles. Lenovo, in partnership with IDC, has unveiled the industry's inaugural whitepaper, titled 'AI Desktop'. This document delineates the definition, technical benchmarks, and value framework of AI desktops—a novel edge computing paradigm—and steers the computing industry towards a hybrid AI model characterized by 'endpoint-edge-cloud' synergy. The AI desktop directly tackles the two primary pain points: the high 'computing tax' and data security concerns, by restoring computational power and data sovereignty to the users. As a robust supplement to cloud computing, it offers specialized services with round-the-clock stability, local data governance, and predictable expenses. The whitepaper underscores that AI desktops are tailored explicitly for agents. In contrast to conventional endpoints, they facilitate seamless collaboration among agents and between agents and software/hardware systems, integrating local inference, task execution, and data storage. They employ a dynamic scheduling approach, prioritizing edge computing while leveraging cloud capabilities. From a commercial standpoint, AI desktops can accurately compute the economic and security expenditures throughout their lifecycle. Scenarios involving the consumption of 600 million tokens monthly can recoup costs in roughly 10 months, whereas those consuming over 1.8 billion tokens can achieve this in just 8 months. The total cost of ownership over a five-year period can be slashed by up to 67%, all the while ensuring local data confidentiality and catering to the demands of various industries. Lenovo has rolled out a comprehensive lineup of consumer-grade and commercial-grade AI desktops to cater to a wide array of user requirements. The whitepaper forecasts that the domestic AI desktop sector will witness its category introduction year in 2026, with an anticipated shipment volume of around 400,000 units and a market size of approximately RMB 5 billion. The initial penetration phase is expected from 2027 to 2028, followed by rapid expansion from 2029 to 2030, with shipments escalating from roughly 3.5 million to about 7 million units and the market size soaring from approximately RMB 46 billion to around RMB 77 billion. This will unveil a billion-dollar blue ocean market and propel a qualitative leap in personal computing paradigms.