For years, tech companies have promised that AI would become everyone's capable assistant, but actual experiences often felt like those of an aimless intern. That dynamic began to change truly only since the emergence of the open-source AI agent platform OpenClaw—having attracted millions of users since its launch last November. OpenClaw enables users to interact with agents through everyday applications such as WhatsApp and Telegram while allowing them to run continuously in the background. This approach has quickly ignited industry momentum, prompting major AI labs to follow suit. At this year's Google I/O developer conference, Google officially unveiled its strategic blueprint for agents. Google DeepMind CTO Koray Kavukcuoglu admitted, "Until now, AI agents were largely concepts within research." Now, he hopes they will genuinely enter people's daily lives. Google's strategy is clear and focused: leverage OpenClaw's proven success while capitalizing on its own vast product ecosystem. The core offering, Gemini Spark, is a consumer-facing cloud-based AI agent designed to operate 24/7 without requiring computers to remain powered on, seamlessly covering web, Android, and iOS platforms. Beyond Google services, Spark will integrate with over 30 external partners including Dropbox, Uber, and Spotify. Initially released to trusted testers this week, it will launch beta testing in the U.S. next month under the Ultra subscription plan. Simultaneously, Google introduced the entirely new Antigravity desktop application serving as a central hub for agent development and management; launched a Morning Brief feature called Daily Brief; and embedded AI agent capabilities into search, enabling future "Information Agents" to perform continuous background research tasks. Underpinning these initiatives is the next-generation Gemini 3.5 series models. Among them, Gemini 3.5 Flash will go live next month, reportedly delivering significantly enhanced coding capabilities compared to Gemini 3, particularly excelling at deploying multiple agents simultaneously and executing long-duration tasks—with speeds four times faster than other leading-edge models yet costing less than half—or even one-third—as much. Currently, Gemini boasts monthly active users exceeding 900 million across more than 230 countries and supporting over 70 languages. Unlike independent AI companies grappling with immense financial pressure, Google possesses the confidence to attract users through subsidies. If any company can successfully bring AI agents to reality, it must be Google—and if it fails to do so, perhaps the entire concept warrants fundamental reconsideration.