Recently, OpenAI unveiled its latest-generation AI model, GPT-6 Astra, which boasts significantly improved abilities in computer operation and complex task execution. Shortly thereafter, NVIDIA CEO Jensen Huang took to social media, declaring, "Artificial General Intelligence (AGI) has arrived," a statement that ignited fervent discussions across the market. In the wake of the new model's release, the A-share computing hardware sector and leading South Korean memory chip stocks experienced a notable surge, once again drawing the spotlight to the burgeoning demand for AI infrastructure.

Institutional analyses highlight that the ongoing enhancement of model capabilities is steadily broadening the application scope of AI. Both businesses and end-users are increasingly prioritizing cost-effectiveness and return on investment. As AI models are more rapidly integrated into real-world workflows, the demand for computing power, task execution efficiency, and the pace of commercialization have emerged as critical focal points for industry observers.