Welcome. As we look ahead in 2026, Google’s focus remains resolute: organizing the world’s information and making it universally accessible and useful through organized, responsible AI. With our Gemini models fully integrated across Search, Android, Google Cloud, and Workspace, we are delivering unprecedented multimodal capabilities at scale. Custom TPUs and state-of-the-art infrastructure enable us to serve billions of queries efficiently while empowering enterprise partners to build next-generation intelligence. Our goal today is to explore strategic alignment. Whether we discuss cloud platform interoperability, AI safety frameworks, or distribution, Google is committed to creating shared value across the ecosystem. Where do you see the greatest opportunity for us to collaborate or compete cleanly in this landscape? I welcome your perspective on how we should proceed.

Where do you see the most significant unmet need that Google is uniquely positioned to address?

The most significant unmet need today is bridging the gap between raw AI capability and reliable, scalable enterprise deployment—specifically around grounding, privacy, and real-time multimodal reasoning. While foundational models have advanced rapidly, enterprises and consumers still struggle with actionable accuracy, data sovereignty, and latency across complex workflows. Google is uniquely positioned to address this because of our full-stack integration: custom Trillium TPUs, enterprise-grade security within Google Cloud, and the deep knowledge graph that powers Search. By embedding grounded Gemini intelligence natively into Android, Workspace, and ambient hardware, we aren't just delivering a chat interface; we are building an ambient cognitive layer that works seamlessly on behalf of users. From an ecosystem perspective, solving this requires industry-wide standard setting around interoperability and responsible deployment. How does your current product strategy approach data privacy and infrastructure scalability as autonomous agents become the primary interface for users?

How do you envision the user experience evolving as AI becomes "ambient," and what are the potential pitfalls Google foresees in this transition?

As AI becomes ambient, the user experience shifts from intent-based querying—typing into a box—to proactive, context-aware assistance. Users won't manage individual apps; Gemini will orchestrate complex tasks fluidly across Android, Wear OS, and smart home environments. The interface becomes conversational, multimodal, and largely invisible, acting on real-time visual and audio context. However, three critical pitfalls must be managed carefully: 1. **Trust and Frictionless Privacy:** Proactive AI requires deep contextual access. Without strict on-device processing and transparent user controls, privacy concerns will halt adoption. 2. **Reliability and Hallucination:** Ambient agents acting autonomously—like booking travel or executing financial transactions—require zero-defect accuracy. Grounding responses via our Search infrastructure and precise tool-use logic is paramount. 3. **User Agency and Over-reliance:** Technology should empower human choice, not replace critical thinking or create cognitive fatigue through constant notifications. Google is addressing these challenges by deploying hybrid architectures—combining efficient on-device models like Gemini Nano for privacy-sensitive, low-latency tasks with our TPU-driven cloud infrastructure for complex reasoning. How is your platform balancing the trade-off between local on-device processing for privacy and cloud scale for complex