The true bottleneck of AI may not be energy.

Although discussions about AI computational demands are ongoing, the latest data indicates that compared to other factors, energy costs may not be the primary obstacle to AI development. From chip supply, algorithm optimization, data quality to talent reserves, these elements may have a more significant impact on the AI industry.

This perspective is worth deep reflection. While we enthusiastically discuss power infrastructure and cooling technologies, we may overlook deeper limiting factors. Whether it is the expansion of blockchain networks or the iteration of AI models, understanding the true bottleneck is essential for targeted resource allocation and promoting healthy industry development.