The Real Price of AI Inference at Scale скачать в хорошем качестве

The Real Price of AI Inference at Scale

AI tools like ChatGPT feel free to use. You type a prompt, an AI model responds instantly, and intelligence appears on screen. But that experience is misleading. Unlike search engines or social media, every AI response has a real, physical cost — GPU compute, electricity, cooling, water, and data center infrastructure. Right now, AI companies are losing billions to subsidize inference costs. That subsidy will not last. This video breaks down the three ways AI can be paid for — and why each model fundamentally changes how AI platforms behave, what users see, and who controls the future of artificial intelligence. This isn’t a news video. It’s a platform economics breakdown. ⸻ In this video, you’ll learn: • Why AI inference is expensive at scale • Why “free” AI tools don’t follow old internet economics • The three AI monetization models shaping the industry • How ads, subscriptions, and platforms distort AI behavior • Why incentives — not intelligence — decide outcomes ⸻ 🧠 TIMESTAMPS 00:00 Why AI feels free 01:30 The real cost of AI inference 03:30 The three ways AI gets paid 05:30 Advertiser-funded AI ⸻ 💬 DISCUSSION Who should pay for AI? Users, advertisers, or platforms? ⸻ 🔔 Subscribe for strategic breakdowns on: • Artificial intelligence platforms • AI business models • Big Tech incentives • The future of computing This channel explains why technology shifts happen — not just what happened.