3.2 Quadrillion Tokens A Month 🔥 $TAO holders have been positioning around this structural shift for months. $VIRTUAL and the AI agents sector are the clearest live proof of why compute demand accelerates as token prices fall. Sundar Pichai confirmed at Google I/O 2026 that Google is processing 3.2 quadrillion tokens per month, up 7x from a year ago. Jensen Huang called AI demand "parabolic" on NVIDIA's latest earnings call, with revenue up 85% year over year. Over that same window, LLM API prices dropped more than 80%. This is Jevons Paradox in real time. Jevons noticed in 1865 that making coal more efficient didn't reduce coal consumption, it exploded it, because cheap coal unlocked uses that were previously uneconomic. Cheaper tokens didn't kill AI demand. They spawned agents and autonomous coding workflows, and each one burns orders of magnitude more compute than the chatbot it replaced. Volume up 7x. Price down 80%. The ecosystem gets enormous and per-unit margins compress toward zero at the same time. MSFT started metering Copilot. OpenAI's leadership is publicly questioning whether unlimited subscriptions can survive. The market is rationing compute, not because demand is fake, but because per-unit economics make unlimited access unsustainable. The miners who bet on expensive coal got wiped out. The infrastructure that processed coal at any price cleaned up. What I keep coming back to is who sits at the compute layer. Targon sells GPU compute hours, not tokens. As agents scale, its 1,500+ NVIDIA H200 GPUs earn more regardless of what per-token pricing does. The network already sold out its inventory. Around $100K/month in real compute revenue flows into SN4 Alpha token buybacks via dTAO. In a market where volume is parabolic and per-token pricing collapses, DePIN compute infrastructure earns from the volume itself. Targon owns the toll booth. #AI #DePIN