Google Gemini AI to Arrive on Smartwatches and Cars "Later This Year," Confirms Sundar Pichai

Google has officially revealed plans to extend its powerful Gemini AI assistant beyond smartphones. According to the company's CEO Sundar Pichai, Gemini will soon be available on smartwatches running Wear OS and in cars through the Android Auto platform.

The announcement was made during Alphabet’s Q1 earnings call, where Pichai emphasized the broader vision for Google's AI ecosystem. He said, "We’re upgrading Google Assistant on mobile devices to Gemini, and later this year we’ll upgrade tablets, cars and devices that connect to your phone, such as headphones and watches."

Gemini’s Expansion Highlights Google's AI Push

CEO Sundar Pichai’s statement clearly shows how central Gemini is becoming to Google’s long-term strategy. By integrating Gemini into more devices, Google aims to unify the user experience across its ecosystem — much like it previously did with Google Assistant. This move positions Gemini as a core AI platform, designed to seamlessly connect smartphones, wearables, automobiles, and other smart devices.

When Will Gemini Launch on Cars and Smartwatches?

While the announcement has generated significant excitement, Sundar Pichai did not provide a specific launch timeline for these new integrations. As he stated, "Later this year" is the only timeframe given.

This suggests that we might see the rollout coincide with major Google product launches, such as the expected unveiling of the next-generation Pixel smartphones around August 2025. However, users eager to experience Gemini across their smart devices will have to wait for official updates.

What to Expect from Gemini on Wear OS and Android Auto

Gemini on Wear OS Smartwatches

Bringing Gemini to Wear OS-powered smartwatches could introduce smarter voice interactions, proactive assistance, and better integration with Google services like Maps, Calendar, and Fit. Users may soon be able to ask their smartwatch complex queries, get real-time updates, or perform tasks more intuitively using Gemini’s enhanced AI capabilities.

Gemini on Android Auto

Similarly, Gemini’s introduction to Android Auto promises a smarter in-car experience. Drivers may soon have access to more personalized navigation, intelligent messaging, hands-free calls, contextual suggestions, and enhanced voice controls, making commutes safer and more efficient.

Why Google's Gemini Expansion Matters

This development is a crucial step for Google as it continues to compete against other tech giants like Apple, Amazon, and Microsoft in the AI space. By embedding Gemini deeper into the user ecosystem, Google is reinforcing its ambition to deliver an AI-first future where devices seamlessly communicate, understand context, and proactively assist users in their daily lives.

If successful, this move could make Google's ecosystem more interconnected and intelligent than ever before.

Latest Google AI updates 2025

As of late April 2025, Google continues to be at the forefront of AI innovation, with several significant updates and developments across its research, products, and cloud services.1 Here's a breakdown of some of the key areas:

1. Gemini Model Advancements:

• Gemini 2.5 Pro: This highly capable model is now in public preview within the Gemini API in Google AI Studio and will soon be accessible through Vertex AI.2 It boasts enhanced reasoning capabilities and an extensive context window of up to 1 million tokens, enabling it to process and understand vast amounts of information across documents, conversations, and codebases.3

• Gemini 2.5 Flash: Positioned for speed and efficiency, this low-latency reasoning model is being utilized for tasks like chat, email assistance, and summarization.4

• Gemini in Workspace: Google is deeply integrating Gemini into its Workspace suite, transforming it into an AI-powered collaboration hub.5 Features like Workspace Flows, Google Vids, and AI-powered writing tools are enhancing productivity across Docs, Sheets, Gmail, and Slides.6 AI agents can now generate, refine, and automate tasks within these applications.7

• Gemini Robotics: Google is actively exploring bringing AI into the physical world with Gemini Robotics, developing models designed to power the next generation of helpful robots.8

• Gemini Integration Across Products: Google is expanding the reach of Gemini to more products, including AI Overviews in Search, with the aim of providing faster and higher-quality responses for complex queries.9

2. AI Agents and Agentic AI:

• Agent Development Kit (ADK): Google Cloud introduced the open-source Agent Development Kit (ADK) to streamline the process for developers to build, deploy, and scale multi-agent systems efficiently.10

• Agent2Agent (A2A) Protocol: This open protocol facilitates secure communication and coordinated actions between different AI agents across enterprise applications.

• Agentspace Updates: Google's platform for discovering, creating, and adopting AI agents has seen updates, including a no-code Agent Designer and new agents like Deep Research and Idea Generation. Agentspace is also being integrated into Chrome's search box for unified enterprise search capabilities.

• Gemini-Powered Security Agents: New agentic AI tools are being introduced in Google Security Operations (for alert triage) and Google Threat Intelligence (for malware analysis) to automate security workflows and provide explainable verdicts.

3. Infrastructure and Hardware:

• Ironwood TPU: Google Cloud announced its seventh-generation Tensor Processing Unit (TPU), named Ironwood.11 This new hardware is designed to power the age of generative AI inference, offering significantly improved compute and memory capacity compared to previous generations.12

• AI Hypercomputer Enhancements: Google Cloud's AI Hypercomputer, the infrastructure behind its AI workloads, has been enhanced to support AI clusters of up to 30,000 GPUs in a non-blocking configuration, aimed at accelerating training and inference throughput.13

• Cloud WAN: Google is making its global private network, Cloud WAN, available to enterprises, offering enhanced application performance and reduced latency for AI workloads and other critical applications.14

4. Research and Development:

• AI Co-Scientist: Google Research unveiled an "AI co-scientist," a multi-agent AI system built with Gemini 2.0, designed to act as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, potentially accelerating scientific and biomedical discoveries.15

• Responsible AI: Google continues its strong focus on responsible AI development and deployment, emphasizing safety, security, privacy, and ethical considerations.16 They released a "Responsible AI Progress Report" in February 2025, detailing their methods for governing, mapping, measuring, and managing AI risks.17

• AI for Social Good: Google.org is actively supporting initiatives that leverage AI to address social and environmental challenges through programs like the Generative AI Accelerator for startups and projects focused on areas like wildfire detection and biodiversity conservation.18

5. Developer Ecosystem:

• Google I/O 2025: The annual developer conference scheduled for May 20-21, 2025, is expected to showcase the latest advancements in Google's AI technologies, along with updates for Android, Web, and Cloud development.19 The program lineup highlights significant focus on Gemini models and tools for building AI-powered applications.20

• Google for Startups Accelerator: Apps 2025: This program is specifically targeting AI-powered Indian startups, providing mentorship and resources to help them leverage Google's AI advancements.21

• Vertex AI: Continues to evolve as a unified platform for machine learning models and generative AI, offering tools like Vertex AI Search and AI Studio to accelerate the prototyping and deployment of AI-powered solutions.22

These updates collectively demonstrate Google's ongoing commitment to pushing the boundaries of AI research and integrating its advancements across a wide range of products and services, with a strong emphasis on powerful models like Gemini, enabling new AI agent capabilities, strengthening its infrastructure, and fostering responsible innovation.