AI expansion is no longer just about GPUs. The cycle is spreading across networking, storage, and the broader infrastructure stack.

Price is the result. Variables define the stage. Don’t predict price. Observe the cycle.

At Nvidia's GTC 2026, CEO Jensen Huang delivered a stunning forecast of a $1 trillion high-conviction demand by 2027. But beyond the headline-grabbing numbers and chip benchmark hype, the fundamental rules of the AI industry have shifted. The era of blindly building infrastructure is over; we are now entering the deep waters of systemic monetization and physical constraints.In this episode, Dazi cuts through the market noise to reveal the true underlying signals of GTC 2026. We break down the four core variables shaping the next phase of the AI cycle:

• Token Factory Economics: Why the new battleground is "Token throughput per watt," and how a future of "base salary + Token budget" will reshape enterprise structures.
• The Hardware Revolution: The ultimate shift toward Co-Packaged Optics (CPO) and Language Processing Unit (LPU) integration to handle extreme inference demands.
• The End of Traditional SaaS: How AI Agents—powered by open-source operating systems like OpenClaw—are poised to take over the software world.
• The Ultimate Physical Bottleneck: Why the most fatal constraint for building 1GW AI factories isn't silicon, but a massive shortage of blue-collar labor like electricians and plumbers.

Stop measuring the future with just FLOPs. Join us as we explore the real drivers of the AI supply chain. Price is just the result; variables determine the cycle.