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- Google launches Gemini AI on Wear OS watches
Google launches Gemini AI on Wear OS watches
PLUS: Microsoft releases Deep Research in Azure AI Foundry & Canva integrates with Claude AI via MCP protocol.

In today’s agenda: |
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MAIN AI UPDATES / 14th July 2025
⌚ Gemini arrives on Wear OS Smartwatches ⌚
Google's AI now delivers voice-powered help directly on your wrist
Google has officially launched Gemini on Wear OS smartwatches, bringing advanced AI capabilities to devices from Pixel, Samsung, OPPO, OnePlus, and Xiaomi.
Users can activate Gemini through voice commands, button presses, or the app icon to get natural, intelligent responses without reaching for their phones. The assistant enables hands-free task management during activities like cooking or workouts, seamlessly integrates with Google services like Gmail and Calendar, and offers memory features for remembering details like parking spots or locker numbers. Gemini works across multiple apps to handle complex tasks efficiently, making smartwatches more capable and independent devices.
🔬 Microsoft launches Deep Research in Azure AI Foundry 🔬
Enterprise web research automation via API and SDK integration
Microsoft has announced the public preview of Deep Research in Azure AI Foundry Agent Service, delivering OpenAI's advanced agentic research capabilities through API and SDK integration. The service enables developers to build agents that autonomously plan, analyze, and synthesize information from across the web using the new o3-deep-research model, grounded with Bing Search for authoritative sources. The platform ensures enterprise governance with full transparency, auditability, and source citations, making it suitable for regulated industries and high-stakes research automation.
🎨 Canva and Claude AI Integration via MCP Protocol 🎨
New connection enables seamless design workflows through natural language prompts
Canva has launched a new integration with Anthropic's Claude AI, allowing users to create, edit, and manage designs through natural language commands without leaving their Claude conversation.
The feature enables tasks like creating presentations, resizing images, filling templates, and searching through Canva content using simple voice prompts. The integration utilizes Canva's Model Context Protocol (MCP) server, an open-source standard dubbed the "USB-C port of AI" that enables secure connections between AI models and third-party services.
This marks Claude as the first AI assistant to support Canva workflows through MCP, joining other integrations with Figma, Notion, Stripe, and Prisma. The feature requires both paid Canva ($15/month) and Claude ($17/month) subscriptions, representing a shift toward AI-first creative workflows.
INTERESTING TO KNOW
🎤 Meta acquires Voice AI startup Play AI 🎤
Meta has officially acquired Play AI, a startup specializing in AI-generated human-sounding voices. The acquisition brings the entire Play AI team to Meta, with integration planned for next week according to internal memos. The voice technology will enhance Meta's AI Characters, Meta AI assistant, wearables, and audio content creation platforms. This move continues Meta's aggressive AI expansion strategy, following recent high-profile hires from OpenAI and partnerships with Scale AI. The acquisition aligns with Meta's broader push into superintelligence and advanced AI capabilities across its product ecosystem.
💻 Goldman Sachs pilots First Autonomous AI Coder 💻
Goldman Sachs is piloting Devin, an autonomous software engineer from AI startup Cognition, marking a significant leap in AI adoption on Wall Street. The program will initially deploy hundreds of AI agents, potentially scaling to thousands, to handle routine coding tasks like updating legacy code and performing multi-step development work.
Unlike simple AI assistants, Devin operates as a full-stack engineer capable of building entire applications with minimal human intervention.
Tech chief Marco Argenti expects this agentic AI to boost developer productivity by 3-4 times compared to previous AI tools, while human engineers will focus on problem description and supervision. The move signals a broader shift toward hybrid workforces where AI and humans collaborate on complex technical tasks.

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