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In this video, we follow a single YouTube upload as it travels through invisible layers of artificial intelligence from Content ID and policy enforcement to the recommendation engine that decides what over 2 billion people see every month. Before any human watches a video, AI has already scanned its audio, visuals, metadata, pacing, and risk profile. We break down how YouTube’s algorithm actually works: how it ranks videos, how watch time and click-through rate shape recommendations, and how your behavior trains the system in real time. You’ll also see how YouTube’s AI is no longer just curating content, it’s starting to create it, with auto-chapters, dubbing, generative backgrounds, music, and AI-powered editing tools. Chapters 0:00 You Didn’t Click This by Accident 0:49 The AI Gatekeepers Every Video Must Pass 1:45 Content ID & Policy AI Explained 2:52 How YouTube’s Recommendation System Works 4:09 What the Algorithm Actually Optimizes For 5:16 AI Is Starting to Create Content 6:43 You Are Training the Algorithm 7:25 How YouTube Shapes Culture & Attention 8:12 Did You Choose This Video or Did It Choose You? This isn’t just about YouTube. It’s about attention, culture, and how AI is shaping what we see, think, and believe often without us realizing it. You thought you chose this video. But maybe the algorithm chose you. #youtubealgorithm #artificialintelligence #ai #machinelearning #techexplained #HowYouTubeWorks #algorithms #digitalculture #attentioneconomy #bigtech