I keep seeing AI automation projects fail, and it’s almost never because of the tech. Most of the time it breaks earlier, when no one can clearly define what a correct output actually is. Everyone wants automation and everyone wants speed, but different people imagine different results. When that definition isn’t clear, the system starts drifting. The agent fills in gaps, edge cases pile up, and the automation slowly becomes unreliable even though nothing is technically broken. At this point I don’t build anything until one question is answered: what exactly must be true for this output to be considered correct? How do you usually handle output definition before building?

📝 TL;DR New data shows ChatGPT’s user growth is cooling off, even as it remains the largest AI assistant by far. At the same time, Google’s Gemini is growing much faster, signalling that the AI race is shifting from raw hype to serious competition. 🧠 Overview A fresh market report estimates that ChatGPT’s global monthly active users are up around 180% year over year, but only grew about 5 to 6% between August and November. In that same period, Gemini’s monthly users jumped roughly 30%, helped by new features and better integrations. The message is clear: ChatGPT is still huge, but the easy growth phase is over and the real battle is now about retention, features, and day to day usefulness. 📜 The Announcement The report focuses on usage data through November 2025. It estimates ChatGPT at roughly 810 million monthly active users, with growth beginning to plateau in key markets like the United States. Meanwhile, Gemini’s user base is smaller overall but accelerating faster, with year over year growth around 170% and a strong boost in the last quarter from a new image generation model and tighter product tie ins. Rather than a collapse, this is being framed as a sign that consumer AI chatbots are moving into a more mature, competitive phase. ⚙️ How It Works → Monthly active users are still rising, just more slowly - ChatGPT is adding users, but at a far slower pace than in 2023 and early 2024. That suggests many of the most curious early adopters are already onboard, and future growth will be harder won. → Short term growth favors feature velocity - Gemini’s faster growth is tied to new capabilities and integrations that give people reasons to try and keep using it. In a crowded market, each new feature spike can move users around. → Market saturation is appearing in key regions - In some markets, especially in North America, most people who are likely to try an AI chatbot already have. Growth now depends on deeper habits, business adoption, and new use cases rather than pure novelty.

4:05AM. Lights on, thoughts spinning, prepping for Day 3 of AI Advantage. People call it “natural talent” — but it’s really invisible work. Nearly 30 years in, and I still prep like it’s my first event. Do the work when no one’s watching, so when they do — you can blow their hair back. Today is going to be soooooo good. I’m freaking stoked. Let’s have fun, anchor it all in and walk away with the true AI advantage… Thank you all for being so freaking awesome… The comments in this group fill my soul

Good day too all. I'm Lizel Booyse A Personal medical care provider and NLP practitioner coach. I'm passionate about learning new things. Never to old to study and upgrade one self. I'm seeking knowledge about AI and tools in order to help my coaching business to grow, but not just for financial stability. But mostly inorder to be able to help where ever I'm able to. Any and all knowledge or suggestions will be very appreciated 👏