Jesse Felder: OpenAI’s Survival Depends on a Crash #openai #aistocks #investing #marketrisk #finance

Key Concepts

• OpenAI's Business Model: Loss-making on a per-query basis, relying on volume.
• Compute Costs: The primary expense for OpenAI, directly impacting profitability.
• Compute Cycle: The pattern of overbuilding followed by a crash in compute costs.
• Sam Altman's Interest: Driving down compute costs to improve OpenAI's financial viability.

OpenAI's Unsustainable Business Model

The transcript highlights a critical issue with OpenAI's current business model: the cost of serving each query significantly exceeds the revenue generated by that query. This means that, on a per-transaction basis, the company is losing money. Their strategy, therefore, relies on achieving profitability through sheer volume. This model is described as "totally unsustainable," leading to exponentially growing losses because the core business operation is inherently loss-making.

Sam Altman's Motivation and the Compute Cycle

Given this financial reality, Sam Altman, as a major consumer of compute power, has a vested interest in seeing the cost of compute decrease as rapidly as possible. The transcript suggests a potential strategy for OpenAI's survival, drawing on a well-established economic cycle. As explained, the typical pattern for compute resources involves a period of "overbuilding," where supply outstrips demand, which is then followed by a "crash" in prices.

The Path to Survival: A Compute Cost Crash

The transcript posits that the most viable, and perhaps the only, way for OpenAI to achieve financial sustainability is to witness a significant reduction in compute costs. This crash in compute prices would directly alleviate the pressure of their loss-making per-query model, allowing them to potentially break even or become profitable as their volume increases. The implication is that OpenAI might be actively or passively anticipating and even encouraging this cycle to occur.

Conclusion

OpenAI faces a fundamental challenge with its current business model, where each query incurs a higher cost than the revenue it generates. This necessitates a reliance on volume, which is proving unsustainable and leading to escalating losses. Sam Altman's primary objective, therefore, is to reduce the exorbitant cost of compute. The transcript suggests that the most probable path to OpenAI's survival lies in the occurrence of a compute cost crash, a phenomenon driven by the cyclical nature of overbuilding and subsequent price deflation in the compute market.