Google shifts from search to action with AI push

Google announced a major push into AI-driven action at its annual I/O developer conference in Mountain View, California, on May 10. The company introduced AI Mode in Search, allowing users to ask detailed, natural questions and receive conversational responses with embedded recommendations. Unlike traditional search, this system aims to reduce steps between queries and results, enabling tasks like finding deals, filling forms, or executing actions directly through AI. Google also expanded its Gemini models to support multimodal interactions, including voice, images, and live camera input. Users can now point their phone camera at an object and ask contextual questions in real time. The updates integrate Gemini across Google’s products—search, productivity, shopping, and user experiences—to create a persistent, ambient AI layer rather than a standalone chatbot. The shift reflects a broader industry trend toward outcome-oriented AI, where users seek direct answers and actions instead of navigating multiple links. Industry executives highlighted this demand, noting that people want reliable, actionable responses for tasks like medical, financial, or legal decisions. Google positioned its approach as anticipatory problem-solving, moving beyond ChatGPT’s explicit reasoning to seamless, embedded assistance. Analysts described Google’s strategy as a transition from traditional search to a full-stack agentic AI ecosystem. Tools like Gemini Spark (an always-on personal agent), Gemini 3.5 (reasoning models), and Gemini Omni (multimodal AI) aim to make AI pervasive across daily consumer interactions. The challenge, they noted, will be shifting user perception from explicit AI tools like ChatGPT to Google’s implicit, anticipatory systems.