The article from Hankyoreh discusses the ongoing debate regarding potential bubbles in the AI investment landscape, drawing parallels to the dot-com bubble of the 1990s. It highlights how AI has become a defining feature of the current era, with significant expectations placed on its capabilities. However, there are growing concerns that the hype surrounding AI may lead to inflated valuations that do not align with the actual performance of companies involved in the sector. The need for failure and adjustment before achieving significant breakthroughs is compared to earlier tech bubbles, suggesting that many companies may not survive this transition.

Prominent U.S. companies are reportedly engaging in unprecedented capital expenditures in AI, leveraging both surplus cash flows and taking on debt to fund these investments. This trend raises important questions about the sustainability and ultimate outcomes of such financial strategies. While new technologies can yield positive results if certain conditions are met, failing to navigate these investments wisely carries the risk of severe repercussions. The article underscores the cautious optimism balanced with the reality of potential failures that might arise in the pursuit of innovation.

Additionally, significant financial projections have been made regarding hyper-scale computing investments, with expectations for substantial growth in the coming years. For example, Bank of America anticipates that global investments in this sector will reach $610 billion by 2026. Major companies are planning massive budget increases for their AI capabilities, prompting discussions about whether the current trajectory can be maintained without leading to another major market correction. Ultimately, the article serves as a reminder of the cyclical nature of tech investments and the importance of critical evaluation of both enthusiasm and actual market conditions.