The demand for AI tokens is growing faster than the supply of GPU infrastructure. This profound imbalance creates a market where not just top-tier AI labs, but also second and third-tier players will likely sell out their capacity. Superior models will command better margins, but the overall resource constraint means even lesser models will find customers.

Firms like OpenAI and Meta claim a compute shortage while also exploring selling compute capacity. This isn't a contradiction but a strategic evolution. They are buying all available supply to secure their own needs and then arbitraging the excess, effectively becoming smaller-scale cloud providers for AI.

Previous attempts at tech futures like DRAM failed because prices only moved in one predictable direction: down. In contrast, the market for GPU compute will experience cycles of high demand and excess supply. This two-way volatility creates genuine hedging needs, making a futures market viable and necessary.

Despite massive infrastructure investments, Greg Brockman believes demand for AI will consistently outstrip supply, leading to a long-term state of "compute scarcity." As AI tackles bigger problems like curing diseases, the appetite for computation will prove effectively infinite, making it a chronically scarce resource.

During a rapid AI takeoff, the cost of compute could become prohibitively expensive, blocking safety efforts. Ajeya Cotra advises organizations to hedge this risk by investing in companies like Nvidia or even owning physical GPUs, ensuring they can afford the necessary AI 'labor' when it matters most.

The massive global investment required for AI will drive demand for GPUs so high that the annual market spend will exceed that of crude oil. This scale necessitates a dedicated futures market to allow participants, especially new cloud providers, to hedge price risk and lower their cost of capital.

According to BlackRock's CEO, AI compute power is so scarce and critical that it will evolve into a financialized asset. He foresees futures markets where companies can trade compute capacity like oil or electricity, creating a new asset class for investment, speculation, and hedging in the AI economy.

In a future where AI agents are the primary economic actors, traditional currencies like the US dollar may become obsolete. Instead, compute itself will function as the ultimate store of value and medium of exchange, as it is the fundamental resource required for all AI activity.

As AI agents become primary drivers of value creation, the ability to command computation will define wealth. Stored energy, convertible into computation, will be the ultimate resource. This makes finite, sovereign digital energy proxies like Bitcoin increasingly relevant as a foundational asset.