Google is making a structural push to embed Gemini deeper into user workflows and developer infrastructure, announcing three interconnected initiatives that collectively signal a shift from conversational AI toward genuine task execution. The company unveiled Connected Apps for Gemini in Search—allowing users to securely link and interact with third-party services directly within AI Mode—alongside a major expansion of Managed Agents in the Gemini API, introducing background task support and remote Model Context Protocol (MCP) integration. Simultaneously, Google is advancing video creation through Gemini Omni and personal avatar features in Google Vids. These aren't isolated feature drops; they represent Google's answer to OpenAI's ChatGPT app ecosystem and Claude's emerging agentic capabilities, areas where Google has ceded momentum despite owning the underlying infrastructure.
The Connected Apps initiative is the most strategically significant. By allowing Gemini to authenticate and execute actions within Gmail, Calendar, Google Drive, and theoretically any OAuth-compatible service, Google is closing a critical gap: while ChatGPT users can trigger workflows through third-party plugins, Gemini's integration had remained largely conversational. Early rollout is expected in 2026, though timelines for full third-party support remain unclear. The security model depends on encrypted credential handling, but details on how Google isolates token leakage or prevents privilege escalation across linked apps are sparse—a potential privacy flashpoint if not implemented carefully. Managed Agents represents the developer-facing complement. By supporting MCP (an emerging standard for tool access) and enabling background task execution, Google is positioning Gemini for autonomous workflows: agents that can plan, execute, and report without constant human intervention. This targets enterprises building internal AI systems, directly competing with Claude's ecosystem as companies prototype AI copilots.
Yet execution risks loom. Google's history of fragmenting AI initiatives—DeepMind operating somewhat independently from Google AI, Gemini rolling out unevenly across products—raises questions about how coherently these features will integrate at scale. Video creation, powered by Gemini Omni, is another battleground where Google must outpace Meta's video AI investments and OpenAI's Sora; personal avatars are competitive but not revolutionary. The broader challenge: users already balance multiple AI tools. Unless Connected Apps demonstrably outperform ChatGPT's integration ecosystem, adoption hinges on Google's search distribution advantage. If Managed Agents requires developers to switch from Claude or other platforms, friction matters more than capability. Google's bet is that owning the full stack—search, video, enterprise APIs—creates stickiness. The coming months will reveal whether integration depth alone drives adoption or whether Google's AI 'clans' need deeper unification to compete.