AI Bubble Fears: In the world of rapidly changing technology, big ups and downs are being seen with the advent of AI. On one hand, companies laid off thousands of employees, while on the other hand, huge investments are being made in AI. It is clear from this that the ways of working are going to change in the coming times. But warnings continue to emerge about AI—it is being called a ‘bubble’ that could burst at any time. Many experts in the technology world have indicated that there is a possibility of a bubble in AI.
Why is AI being called a ‘bubble’?
Recently, Google CEO Sundar Pichai cautioned users about the use of AI. He said that do not trust AI blindly. Besides, he also advised the companies investing in AI to be cautious, calling it a bubble which if bursts, no one will get a chance to escape.
OpenAI founder Sam Altman and Microsoft founder Bill Gates have also given similar warnings. AI is being compared to the dot-com bubble of 2000—when there was a lot of excitement about the rise of the Internet, investments were growing rapidly, but suddenly the bubble burst and investors suffered huge losses. Today the same over-enthusiasm is visible about AI, that is why the discussion about the bubble is intense.
Is there any merit in the claim of AI bubble?
Due to AI, there has been a sharp rise in the shares of tech companies in the stock market. Market experts fear that if this bubble bursts, it could have a direct and deep impact on the global stock markets. A big question is that it has been three years since AI came into prominence, so why this debate now? Actually, this discussion has increased after the latest reports of many companies.
The big seven companies listed on the US stock market—Apple, Microsoft, Google, Meta, Tesla, etc.—alone hold about 34% of the total market cap. More than half of the stocks that rose the most last year belonged to these companies. Therefore, the decline in these companies will have a direct impact on the entire stock market.
Learning and using AI is important, but investing solely on AI models or AI-powered predictions can be risky. If this AI bubble actually bursts, the possibility of huge losses cannot be ruled out.
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