The immense capital required for compute could lead to a market consolidation or the failure of major players if model improvements stall.
The high COGS for AI services makes building a profitable AI-native software business incredibly difficult.
The strategic dependence of model providers like OpenAI on a handful of capital-rich partners (Microsoft, Oracle, NVIDIA) creates significant systemic risk.
A failure to continue improving AI model capabilities could trigger a recession due to the massive, potentially unproductive capital investments being made.
Opportunities Identified
The potential to automate a significant portion of the $2 trillion software engineering market represents a massive addressable market.
Hardware providers, particularly NVIDIA, are positioned to capture enormous profits from the industry-wide compute arms race.
Vertically integrated companies like Google (with TPUs) have a durable cost advantage in serving AI models.
A new wave of innovation and investment will be directed towards synthetic data generation and reinforcement learning techniques to overcome data bottlenecks.