This document is a must-read if you’re working on AI beyond experimentation. It explains why successful AI adoption depends less on tools and more on leadership, data readiness, and skills. You’ll learn how organizations use generative AI to increase speed and productivity and where things go wrong without clear boundaries. 👉 Where do you currently see the biggest opportunity or risk in how AI is being used in your organization?

Hi everyone! I’m always looking for ways to push our boundaries through innovation. Today, I want to share a bit of my own journey: I am currently developing a personal project using Vibe coding (or "AI Coding"). Despite not having a technical background, I’m using tools like Google AI Studio, Antigravity, and Xcode to build an application from scratch. It’s been an eye-opening experience that has completely changed how I view product development. I’m curious to hear from you: - Have you experimented with AI Coding yet? - What are the biggest barriers or challenges you’ve faced when trying to build something technical? I’d love to share my progress with you as I go. Let me know in the comments if you’d like me to share more about the workflow I'm using!

Let's get to know each other! Comment below sharing where you are in the world, a photo of your workspace, and something you like to do for fun. 😊

We’re building AI Tribe together, and your input matters. This community is still early, which means you can actively influence what we build next. Take 2 minutes to answer the questions below. Short answers are perfect. Reply in the comments: 1. What are you hoping to learn or achieve with AI in your work? 2. What’s one task you’d love to automate or improve using AI? 3. How would you describe your current level? (Beginner / Intermediate / Advanced) 4. What would make this community valuable for you in the next 30 days? We’ll use your responses to: - Prioritise content and tools - Shape upcoming posts and classroom materials - Decide what we build next (and what we don’t) Thanks for building this with us. Your feedback directly shapes AI Tribe. ➡️ Drop your answers below, and let’s get started.

We’ve added an important document to the Classroom: Key trends for 2026. This article reflects how we think about the impact of AI on marketing in the coming years. Not as a collection of tools or tactics, but as a structural shift in how marketing teams operate, make decisions, and create value. The key message is clear: - AI is no longer an experiment or add-on - It becomes core infrastructure for marketing teams - The real differentiator in 2026 is not adoption, but integration into strategy, skills, and everyday work If you’re working in marketing, growth, or digital strategy, this document provides useful context for: - Where AI is heading - What capabilities teams will need - How roles and workflows are changing 📄 You can find the document in the Classroom under Articles and Whitepapers → Key trends for 2026. We recommend reading this as a strategic lens, not just a trend overview. Feel free to share your thoughts or questions in the comments.