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.

AI companies run private compute clusters at low utilization, similar to early industrial factories each having their own inefficient steam generator. This creates massive waste. The solution is a shared, coordinated compute grid that acts as an independent system operator to drive up utilization across the ecosystem.

Modal Labs provides an infrastructure layer that sits above hyperscalers and specialized AI clouds. Its value is not owning hardware but abstracting the complexity of managing raw GPU capacity. By offering a superior developer experience and a flexible, usage-based model, it solves the variable demand problem inherent in AI applications.

Greg Brockman simplifies OpenAI's business to its most fundamental level: buying or building massive amounts of compute and reselling it with an intelligence layer on top. This framing reveals that their primary growth vector and constraint is access to computation, making their core operation a margin-based resale of processing power.

AMP is creating a software grid to make today's fragmented compute resources (Nvidia, AMD, different clouds) fungible. This is analogous to how standardizing electricity to AC/DC unlocked a national grid, turning stranded pockets of power into an efficient, interoperable system.

Amazon's strategy emphasizes infrastructure over proprietary models. By focusing on AWS cloud dominance, custom chips like Trainium, and key partnerships (OpenAI, Anthropic), Amazon is positioning itself as the essential, neutral compute provider for the AI industry, regardless of who builds the winning model.

Instead of bearing the full cost and risk of building new AI data centers, large cloud providers like Microsoft use CoreWeave for 'overflow' compute. This allows them to meet surges in customer demand without committing capital to assets that depreciate quickly and may become competitors' infrastructure in the long run.

To maximize optionality, OpenAI evolved from relying on a single cloud provider and chipmaker to a multi-faceted "Rubik's Cube" approach. This involves using multiple CSPs (Oracle, GCP, AWS) and chip providers (Nvidia, AMD) to ensure access to frontier technology while converting capital expenditures into operating expenses through partners.

The energy demand from AI can be met by allowing data centers to generate their own power "behind the meter." This avoids burdening the public grid and allows data centers to sell excess power back, potentially lowering electricity costs for everyone through economies of scale.