Investors are beginning to question whether the artificial intelligence boom can sustain its expansion as OpenAI and Anthropic prepare to enter public markets.
The central concern is that corporate AI spending remains heavily concentrated in coding, which may signal slower-than-expected adoption across broader business functions.
Estimates suggest software development accounts for between a third and a half of all business token usage, and potentially an even larger share in some organizations.
That concentration raises serious questions about whether a technology expected to transform wide-ranging business workflows is still being deployed in a relatively narrow way.
OpenAI and Anthropic could face mounting pressure if coding continues to serve as the primary engine of AI demand, particularly as corporate customers begin hunting for cheaper alternatives.
Anthropic’s recent revenue growth has been largely tied to demand for Claude Code, but businesses are actively working to contain AI costs by shifting toward smaller, cheaper, or open-source models.
Uber Technologies (NYSE: UBER) and Walmart (NASDAQ: WMT) have both moved to limit internal AI use after coders exceeded allocated budgets, highlighting the cost-control pressures shaping enterprise adoption.
Cloud giants including Alphabet (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), and Microsoft (NASDAQ: MSFT) may still benefit even when customers select third-party or lower-cost models hosted on their platforms.
The more optimistic counterargument draws on Jevons Paradox, suggesting that cheaper AI coding tools could drive higher overall usage as more workers discover reasons to adopt them.
A Google executive stated that AI coding tools are expected to eventually reach employees well beyond software developers, though widespread adoption by non-technical staff remains limited today.
That distinction matters significantly because it determines whether frontier labs or lower-cost competitors ultimately capture the value generated by rising AI usage volumes.
DeepSeek and Alibaba Group Holding (NYSE: BABA)’s Qwen represent exactly the kind of cheaper model alternatives that could absorb demand growth without delivering proportional revenue gains to premium providers.
AI coding may well remain foundational to the current technology cycle, but the economics of who profits from that foundation are far from settled.
The critical question for investors evaluating OpenAI and Anthropic is whether accelerating usage translates into stronger financial outcomes for frontier labs or simply subsidizes the rise of cheaper competitors.
