The Chief Telecom President in Taiwan thinks that we need new, special buildings for the computers that do artificial intelligence (AI). These computers need a lot of power and are very heavy. He wants to change the rules about how we build these special buildings because they are different from normal buildings. If we use these special buildings, we can help AI grow, and Taiwan will be able to compete with big companies like Microsoft and Google. Read from source...

The article `As Nvidia, Microsoft, And Google Lead AI Boom, Taiwan' s Chief Telecom President Calls For 'Entirely New' Data Center Infrastructure` discusses the growing demands of artificial intelligence on data center infrastructure. However, the article appears to present a one-sided perspective on the situation, with no mention of alternatives or potential downsides to the proposed changes.

The article's main argument is that current data center infrastructure is inadequate to support the demands of AI servers and requires a complete redesign. While this assertion is backed by the President of Chief Telecom, Taiwan, it is not supported by any evidence or research in the article. Furthermore, the article presents a simplistic view of the situation, failing to acknowledge the complexities and challenges involved in designing and implementing new data center infrastructure.

Moreover, the article gives significant attention to the role played by the major tech companies such as Microsoft, Nvidia, and Google in driving the AI boom and growth in the stock market. However, the potential risks and implications of this growth are not explored in the article.

The article's writing style is also notable, with several instances of emotionally charged language and sensationalism. For example, the article states that "the overall cost of this new form of buildings will be at least 50% higher than typical data centers," without providing any substantiating evidence. Such language and sensationalism can be seen as biases in the article.

In conclusion, the article lacks objectivity, balance, and critical analysis, presenting a one-sided view of the situation. While it highlights the need for new data center infrastructure to accommodate the demands of AI servers, it fails to provide evidence, explore alternatives, or consider potential downsides.

Bearish

Justification: The article discusses the need for an 'entirely new' data center infrastructure to accommodate the demands of AI servers, which comes with massive costs and upgrades. This indicates a bearish sentiment as it is suggesting a significant investment and potential risks.