OpenAI acknowledged that user "time spent" declined after implementing content restrictions. The subsequent decision to loosen these rules is likely not a sign of strength but a strategic move to re-stimulate growth and engagement as the platform shows signs of hitting market saturation.
Reports that OpenAI hasn't completed a new full-scale pre-training run since May 2024 suggest a strategic shift. The race for raw model scale may be less critical than enhancing existing models with better reasoning and product features that customers demand. The business goal is profit, not necessarily achieving the next level of model intelligence.
According to Ben Thompson's Aggregation Theory, OpenAI's real moat is its 800 million users, not its technology. By monetizing only through subscriptions instead of ads, OpenAI fails to maximize user engagement and data capture, leaving the door open for Google's resource-heavy, ad-native approach to win.
An OpenAI investor call revealed that "time spent" on ChatGPT declined due to content restrictions. The subsequent decision to allow erotica is not just a policy shift but a direct strategic response aimed at stimulating user engagement and reversing the negative trend.
OpenAI has a strategic conflict: its public narrative aligns with Apple's model of selling a high-value tool directly to users. However, its internal metrics and push for engagement suggest a pivot towards Meta's attention-based model to justify its massive valuation and compute costs.
Michael Burry's comparison of OpenAI to Netscape is apt regarding market share erosion due to intense competition. However, the AI market is expanding exponentially. Unlike the browser market of the 90s, OpenAI can lose market share percentage yet still see massive absolute revenue and usage growth.
Ben Thompson's analysis suggests OpenAI is in a precarious position. By aggregating massive user demand but avoiding the optimal aggregator business model (advertising), it weakens its defense against Google, which can leverage its immense, ad-funded structural advantages in compute, data, and R&D to overwhelm OpenAI.
The long-term monetization model for consumer LLMs is unlikely to be paid subscriptions. Instead, the market will probably shift toward free, ad- and commerce-supported models. OpenAI's challenge is to build these complex new revenue streams before its current subscription growth inevitably slows.
OpenAI is relaxing ChatGPT's restrictions, allowing verified adults to access mature content and customize its personality. This marks a significant policy shift from broad safety guardrails to user choice, acknowledging that adults want more freedom in how they interact with AI, even for sensitive topics like erotica.
OpenAI launched Sora 2 knowing it would generate copyrighted content to achieve viral growth and app store dominance, planning to implement controls only after securing market position and forcing rights holders to negotiate.
OpenAI's new video tool reveals a strategic trade-off: it is extremely restrictive on content moderation (blocking prompts about appearance) while being permissive with copyrighted material (e.g., Nintendo characters). This suggests a strategy of prioritizing brand safety over potential future copyright battles.