I see many in the AI space focusing on the wrong things. You don't need to analyze, then work on this thing over here and that thing over there, build scenarios in make.com or N8N that is not at that moment serving a problem for someone. All you need to do is throw yourself in the fire by finding a problem first, then you go build said scenario or workflow saving you lots of time and energy and learning at the same time in the hot seat. All love gng.

📝 TL;DR Kapwing’s new “AI Slop Report” estimates that roughly a third of a new YouTube user’s Shorts feed is low quality AI content. A small group of AI driven channels is racking up billions of views and millions in ad revenue, while thoughtful human made videos fight to stay visible. 🧠 Overview The report looks at how much “AI slop” and “brainrot” has crept into YouTube, and which countries and channels are benefitting most from it. AI slop is defined as careless, low effort auto generated video made to farm views or push opinions, while brainrot is compulsive, nonsensical content that leaves you feeling mentally drained. The big picture, low quality AI video is no longer a fringe problem, it is now a structural part of what many people see by default. 📜 The Announcement In November 2025, Kapwing published the “AI Slop Report, The Global Rise of Low Quality AI Videos,” based on social data and YouTube trends from October 2025. The team manually analyzed the top 100 trending YouTube channels in every country, flagged AI slop channels, pulled view, subscriber, and revenue estimates, then tested a fresh YouTube Shorts account to see what a new user is shown. The headline findings, Spain’s trending slop channels have over 20.22 million subscribers, South Korea’s have 8.45 billion views, one Indian channel is estimated to earn about 4.25 million dollars a year, and around 33 percent of Shorts on a new feed are brainrot. ⚙️ How It Works • Clear definitions first - AI slop is defined as careless, low quality content generated with automatic tools to farm views or sway opinion, while brainrot is compulsive, nonsensical content that seems to corrode your attention and is often AI generated. • Global channel scan - Researchers pulled the top 100 trending channels in every country, then tagged which ones primarily publish AI slop or brainrot, building a worldwide view of where this content is gaining ground.

One of the most common emotions people experience with AI is not excitement, it is anxiety. A quiet sense of being late to something important, of missing a memo everyone else seems to have read. That feeling is uncomfortable, but it is also deeply misunderstood. Feeling behind with AI is not a personal failure. It is a signal that change is happening faster than our mental models are updating. ------------ Context: The Emotional Cost of Rapid Change ------------ Every major technological shift creates a gap between exposure and understanding. We see what is possible long before we feel capable of participating in it. With AI, that gap feels wider because the progress is so visible. New tools appear weekly, headlines promise transformation, and social feeds are filled with confident demonstrations. Inside organizations and teams, this often shows up as quiet hesitation. People attend sessions, skim articles, and nod along, but avoid hands-on use. They worry about asking basic questions. They fear revealing what they do not know. Over time, that hesitation hardens into a belief that they are already behind. What makes this especially challenging is that AI progress is nonlinear. Capabilities jump, not crawl. This makes even highly competent professionals feel disoriented. Skills that took years to master suddenly feel adjacent to tools that produce similar outputs in seconds. The mistake we make is treating this emotional response as a verdict on our ability. In reality, it is a predictable human reaction to accelerated change. Feeling behind is not evidence of inadequacy. It is evidence that the environment has shifted faster than our confidence. ------------ Insight 1: Feeling Behind Means You Are Paying Attention ------------ Apathy is the real danger in times of change, not discomfort. When people truly fall behind, they usually do not notice. They disengage, dismiss, or ignore what is happening around them. The fact that AI creates unease is a sign that it matters to us.