The distinction between a "model" and an "agent" is dissolving. Google's new Interactions API provides a single interface for both, signaling a future where flagship releases are complete systems out-of-the-box, capable of both simple queries and complex, long-running tasks, blurring the lines for developers and users.

Google's VP of Search notes that AI enables users to state their complex needs in natural language, rather than translating them into keywords. Users now "tell you the real problem," providing Google with richer intent data to deliver more helpful and specific results.

Contrary to the narrative that AI will kill search, Google sees AI as an expansionary force. Features like AI overviews and Google Lens are driving a 70% YoY increase in visual searches, fulfilling new types of user curiosity and increasing the total volume of questions asked.

For years, Google has integrated AI as features into existing products like Gmail. Its new "Antigravity" IDE represents a strategic pivot to building applications from the ground up around an "agent-first" principle. This suggests a future where AI is the core foundation of a product, not just an add-on.

Bret Taylor predicts that personal AI agents like ChatGPT will become the primary way people interact with the internet, much like Google replaced Yahoo portals. This shifts interaction from clicking links to delegating tasks, fundamentally changing the economics of discovery, SEO, and advertising.

Instead of being replaced by AI chatbots or agents, Pichai believes Search will evolve to manage them. Users will run multiple, long-running tasks, and Search will become the interface to orchestrate these agentic flows, expanding its capabilities rather than becoming obsolete.

The evolution of search won't stop with LLMs. The next stage involves autonomous AI agents that complete tasks like booking travel on a user's behalf. Marketers must shift their focus from answering human queries to ensuring their products and services are discoverable and selectable by these agents.

Unlike chatbots that rely solely on their training data, Google's AI acts as a live researcher. For a single user query, the model executes a 'query fanout'—running multiple, targeted background searches to gather, synthesize, and cite fresh information from across the web in real-time.

Unlike Google's ad-based model, future AI platforms like ChatGPT may vertically integrate and fulfill user requests directly. Instead of sending traffic to a real estate agent, the AI might become the real estate agent, capturing the entire value chain and eliminating the need for third-party businesses.