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.

By hoarding GPUs for its own models, Elon Musk's xAI inadvertently created one of the largest "neocloud" platforms. Massive deals with Google and Anthropic show that in the current crunch, simply possessing available compute is an incredibly lucrative and powerful position, almost independent of the models being built.

Meta's $130B investment in AI data centers is being strategically de-risked. Mark Zuckerberg has signaled that if its consumer AI plans underperform, Meta can pivot to selling its excess compute power to other companies. This positions Meta as a potential competitor to AWS and Google Cloud, turning a huge capital expenditure into a plausible revenue-generating asset.

xAI is leveraging its massive GPU infrastructure by renting it out to other AI companies like Cursor. This strategy turns a significant cost center into a revenue-generating business, effectively making xAI a specialized cloud provider and creating a new monetization path beyond its own model development, mirroring the AWS playbook.

By renting its massive data center to competitor Anthropic, Elon Musk's SpaceX (parent of xAI) is tacitly admitting a strategy shift. Instead of competing directly on model development, it's becoming a high-margin compute provider, akin to a "new CoreWeave," and ceding the AI race.

Recognizing his Grok model lags competitors, Elon Musk has strategically shifted focus. By providing compute capacity from SpaceX's data centers to rival Anthropic, he is leveraging his strength in building massive physical infrastructure to become a critical "NeoCloud" provider, influencing the AI race through compute control rather than model performance.

Meta is selling excess compute not as a primary strategy, but because it lacks near-term AI products to utilize its massive capital expenditure. This move is seen as a way to generate ROI while its internal product strategy, aimed at creating a 'personal super intelligence,' has yet to materialize, raising doubts about their overall AI vision.

Meta's move to sell its massive compute capacity as a 'NeoCloud' service is less a strategic pivot and more an admission that its own near-term product pipeline cannot utilize the infrastructure. This contradicts their stated goal of personal super intelligence and raises questions about their internal AI product strategy.

Meta is launching "Meta Compute" to sell its AI infrastructure. This follows SpaceX's strategy where compute sales became its primary revenue driver, suggesting that providing the underlying AI infrastructure ("selling shovels") can be more lucrative than building frontier models.