Panel: GPU Finance : From Dirt to Tokenomics

The AI boom has turned GPUs into the closest thing the industry has to oil. Unlike oil, however, GPUs depreciate faster than almost any industrial asset in history. A $30K GPU today can become economically obsolete within 24 to 36 months, while its revenue potential depends on volatile utilization, model cycles, and rapidly shifting demand between training and inference.

This panel dissects the full financial stack, from land acquisition and power provisioning to GPU procurement, workload monetization, and foundation model offtake agreements. Traditional infrastructure financing models are colliding with a new reality where asset value is tied not to time, but to tokens per watt, utilization curves, and software efficiency.

We will explore emerging financial primitives including GPU-backed securities, token-linked compute contracts, utilization-indexed leasing, and sovereign-backed AI infrastructure funds. Who ultimately captures the margin across this stack: data center operators, GPU clouds, or model providers? And what happens when supply overshoots demand, as history suggests it eventually will?

If GPUs are the new oil, this discussion asks an uncomfortable question. Are we building refineries, or simply stockpiling barrels that decay?