A lot of people are worried that the artificial intelligence (AI) companies are becoming too popular and expensive very fast, just like some internet companies did in the late 1990s and early 2000s. They think this might lead to a big crash in the stock market for these AI companies, similar to what happened with those internet companies. Some people say that even though the technology companies are worth more money now than they were back then, they are not as expensive compared to how much money they make. Read from source...

- The article starts with a sensationalized title that implies an imminent and catastrophic event ("Sparks Fears") without providing any evidence or data to support this claim. This is a classic example of fear-mongering journalism that tries to capture the attention of readers by creating a sense of urgency and AIger, rather than informing them in an objective and rational manner.
- The article uses several comparisons with the dot-com bubble to create a negative association and imply that history is repeating itself. However, these comparisons are not well-founded or relevant, as the AI sector has many differences from the dot-com industry in terms of technology, innovation, business models, and market dynamics. For example, the article mentions Cisco's surge over five years before it peaked in 2000, but fails to acknowledge that Cisco is a networking equipment producer, not an AI company, and that its growth was driven by the expansion of the internet infrastructure, not by the development of new software applications. Similarly, the article cites the high valuations of tech stocks as a sign of a bubble, but does not consider the fact that these stocks are backed by strong fundamentals, such as revenues, earnings, profits, and growth potential, unlike many dot-com companies that were overvalued and had no clear business model or profitability.
- The article relies heavily on quotes from unnamed sources, who may have vested interests or biased opinions on the AI sector, without verifying their credibility or providing any evidence to support their claims. This is a weak form of journalism that does not challenge the assumptions or arguments of its sources, and instead uses them as a way to create sensationalism and controversy.
- The article ends with a vague and unrealistic statement that the AI sector will "burst" just like the dot-com industry did, without explaining how, when, or why this will happen, or providing any data or analysis to back up this prediction. This is another example of fear-mongering journalism that tries to create a sense of uncertainty and doubt in the minds of readers, rather than offering them a balanced and informed perspective on the current state and future prospects of the AI sector.