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Google Search's AI Mode gets Gemini 2.5 Pro and new deep research capabilities; Google also expands an AI-powered business calling feature to all users in US

Google is rolling out an agentic AI-powered business calling feature to all users in the United States, the company announced on Wednesday.

TechCrunch Aisha Malik

Context & Ripple Effects

Google had already positioned Gemini 2.0 for Search and AI Overviews as a foundation for agents that can plan and act; this update moves that agenda from answer generation toward research and task completion. The later integration of Gemini 3 Pro into AI Mode shows Search remained a primary distribution channel for Google’s frontier models.

The nationwide availability of AI-assisted business calling extends Google’s voice-agent work beyond earlier Android scam-call detection and Gemini Live features. It makes Search a potential starting point for an action, not just a recommendation.

First-order effects

  • US users can use AI Mode with Gemini 2.5 Pro and deep-research capabilities for more involved search tasks, while the business-calling feature becomes broadly available to them.
  • Businesses that receive these calls must now handle customer inquiries initiated by Google’s agentic flow, rather than only conventional web, phone, or app journeys.

Second-order effects

  • Google can test whether higher-capability search experiences retain users through research and real-world task completion; competing search and assistant products face pressure to pair answers with actions.
  • Businesses may have to make phone availability, appointment information, and service details easier to confirm, because inconsistent information becomes a failure point for automated calling.

Third-order effects

  • If users adopt these flows, search competition shifts further from ranking pages and producing links toward owning the agent that researches, contacts businesses, and completes a workflow.
  • The pattern supports a broader move toward agents embedded in Search, where product quality depends on model capability, trusted business data, and reliable handoffs to offline services.

The trend: Google is turning Search into an agent-distribution surface where advanced models research, reason, and increasingly carry out user tasks.