The anticipated scarcity of AI inference compute is forcing a new VC playbook. Firms predict they will need to broker "special deals" between their own portfolio companies to secure capacity for startups. This transforms the VC value-add from providing cloud credits to acting as a strategic dealmaker for compute, a critical and scarce resource.

Goldman Sachs and JPMorgan are exploring the creation of futures contracts based on the hourly rental cost of a GPU. This move would transform scarce computing power into a tradable commodity, similar to oil or corn, allowing companies to hedge against price volatility. It marks a significant step in the financialization of the AI industry's core resource.

Strategic investments in AI labs, like NVIDIA's in Thinking Machines, are increasingly structured as complex deals trading equity for access to cutting-edge chips. This blurs the line between traditional venture capital and resource allocation, making compute access a form of currency as valuable as cash for capital-intensive AI startups.

To combat the GPU shortage, top VC firms are bundling their portfolio companies' compute needs. They negotiate with cloud providers on behalf of their startups, acting as a single large customer to get better pricing and access, a novel role for investors.

A VC from Emergence Capital argues the industry is in a "massive compute shortage" driven by compute-intensive reasoning models. This hardware constraint is forcing a strategic shift in investment theses, with VCs now actively seeking companies that make intelligence more efficient at every level, from chips to algorithms.

While AI dramatically lowers the capital needed to build software, it creates a new significant expense: compute costs. Venture capital remains essential, but its purpose has shifted from funding initial development to covering substantial cloud and AI service bills as companies scale.

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.

The emerging market for AI compute financial instruments was kickstarted by CoreWeave. They innovated by using GPUs as collateral for debt, enabling them to fund huge infrastructure deployments ahead of competitors. This novel financing model is now becoming mainstream, paving the way for derivatives.

As the AI build-out matures, financing is shifting from construction to the chips themselves, which can exceed 50% of a data center's cost. Creative solutions are emerging, such as financing backed by the value of the chips or the compute contracts they service, moving beyond traditional loans.