Karen Hao and the Empire of AI: Open AI’s financial risks, ethical controversies and global influence

Generative AI development currently suffers from a lack of scientific consensus on intelligence, leading companies like OpenAI to prioritize "scaling"—pouring massive computational resources into existing architectures rather than exploring more efficient algorithmic innovations. This approach, while successful in attracting billions in investment, relies on the exploitation of low-wage labor in the global south for data annotation and content moderation, often causing severe psychological harm. OpenAI’s shift from a non-profit mission to a for-profit empire reflects a broader trend of monopolizing knowledge production and creating a financial bubble. With projected costs reaching trillions for data center expansion, the industry faces a precarious future where the promise of artificial general intelligence remains unproven, potentially leading to a significant market correction as the gap between massive capital expenditure and actual revenue continues to widen.