Big news from Google I/O: Google just introduced a major update to its AI ecosystem with the launch of Gemini 3.5 and the first model in that family, Gemini 3.5 Flash. Here’s what you need to know. 1. Gemini 3.5 Flash is now live: Google’s new model is designed to combine high-end reasoning with very high speed. According to Google, it is up to 4× faster than comparable frontier models while outperforming previous versions on complex tasks like coding and multi-step workflows. It’s already rolling out globally and is now the default model in the Gemini app and AI-powered search. 2. From chatbots to agents: The biggest shift is not just performance. It’s the direction. Google is moving from “AI that answers questions” to “AI that takes action.” Gemini 3.5 is built to plan, execute, and iterate on tasks, often across multiple steps and tools. 3. New ecosystem around Gemini Alongside the new model, Google introduced several new components: - Gemini Spark: a personal AI agent that can take actions across apps - Gemini Omni: a new multimodal model for creating video and content from mixed inputs - Antigravity: a development platform built for agent-first workflows 4. Why this matters This marks a clear step toward AI acting as a collaborator rather than just a tool. Think less prompting, more delegation. For anyone working in digital, marketing, or product teams, this will likely change how we approach workflows, automation, and even team structures. How do you see “agentic AI” changing your daily work?

Claude just got more room to think and build. Anthropic announced higher Claude usage limits, backed by a new compute partnership with SpaceX. The deal gives Anthropic access to more than 300 megawatts of new capacity and 220,000+ NVIDIA GPUs, helping increase Claude Code and API limits for heavy users. Why does this matter? More compute means more space for professionals to work with AI at a serious level: longer coding sessions, bigger workflows, more complex prompts, and faster experimentation. The shift is clear: AI is no longer just about better models. It is also about energy, infrastructure, and access. As professionals, we should use this moment to: - Test larger AI workflows - Build more advanced automations - Use AI for deeper research, coding, analysis, and strategy - Move from “trying tools” to redesigning how we work The professionals who benefit most will not be the ones who simply get higher limits. They will be the ones who know what to do with them. Read the announcement here: https://www.anthropic.com/news/higher-limits-spacex

The launch of Claude Design marks a turning point in AI-driven creation. It allows us to instantly transform ideas into interactive prototypes and visual concepts. However, technology without strategy is just noise. At Growth Tribe, we believe the real power doesn't lie in the tool itself, but in the methodology behind it. An AI can generate an interface, but you must steer the user experience (UX). This is why Design Thinking remains essential: - Problem Definition: AI won't solve anything if the problem is poorly framed. - User-Centricity: Making data-driven decisions based on what the user truly needs. - Iteration: The tool accelerates the process, but the strategy sets the direction. If you want to master the mindset behind the tools and learn how to structure innovation, explore our Design Thinking Certificate here

In this live session with Carmen Philips, we break it down. 👇 - Learn where AI truly adds value in qualitative CX research. - Discover how to combine AI insights with human interpretation and judgment. - Understand how trust is formed, lost, and remembered across customer journeys. We’ll show you what actually works. And how to start. 👉 Join us April 1st: https://growthtribe.io/agenda/using-ai-to-improve-cx-management/

AI traffic is no longer “future talk.” It’s already showing up in your analytics. More people are discovering content through tools like ChatGPT, Perplexity, and Gemini instead of Google. That means your traffic mix is quietly shifting… but most teams aren’t tracking it yet. What’s changing? - AI tools are becoming a new discovery layer - Users skip traditional search journeys - Referral data is harder to spot (but it’s there) The risk:We keep optimizing for Google… while missing where attention is moving. The opportunity:Start small. Track it. Learn faster than others. Try this this week: - Check your referral sources for AI domains - Tag and monitor “AI traffic” separately in your analytics - Compare behavior: time on page, conversions, bounce rate You don’t need perfect data. You need directional insight. 👉 Read the full breakdown here: https://growthtribe.io/blog/ai-traffic-vs-google-traffic/ We’re curious. 👇 Are you already seeing traffic from AI tools? And are you measuring it properly yet?