The AI age is here, but is this technology truly a golden ticket for a brighter future, or a complex bubble ready to burst? Experts are divided on this topic, as AI has been proven to be a revolutionary technology that has changed the face of the business world and significantly increased our productivity. The genie is out of the bottle, and no one can put it back. Whether one approves of this technology or not, its impact on the market and society is immense, and now AI has become an expectation, rather an indulgence. Do you want to buy a new computer? Its chip must be embedded with AI to be worth buying. This mindset is a growing trend among consumers, as expectations for tech products and software have risen significantly since AI entered the market. However, although it is true that there is no harm in consumers opting for AI-enabled goods, the ripple effects of this hype on the market must not be ignored. Consumers are not the only ones dazzled by AI, as investors and Wall Street executives are charmed by it in equal measure. Hence, many experts, such as Michael Burry, are sounding the alarm, warning that a significant number of AI companies are overvalued and that investors’ blind investment in AI companies and start-ups is leading towards a new financial bubble similar to the dotcom bubble. But what is a bubble, and why is the dotcom often regarded as the blueprint for the AI crash?
According to a report from Forbes titled “How To Recognize Bubbles And Stay On Track Financially When They Burst”, by Cicely Jones, a bubble is “defined by a rapid increase in market value above the inflation-adjusted value, oftentimes specifically referring to the price of an asset.” Historically, the world has experienced multiple bubbles driven by inflated investor expectations or simply by people’s mania for certain products.
During the Tulip Mania, for example, speculation drove the price of this flower so high that one single tulip would cost “as much as six times the average person’s annual salary at the market’s peak” in the 1630s, according to a report from Investopedia by Adam Hayes. However, in this case, the bubble involved an asset whose value rested solely on the people’s fancy and desire for it. It generated no revolutionary change in society and had very limited uses.
The dotcom bubble, on the other hand, was a completely different case. According to a report from the Corporate Finance Institute, “the dotcom bubble is a stock market bubble that was caused by speculation in dotcom or internet-based businesses from 1995 to 2000.” The report adds that following “the launch of the World Wide Web in 1989, the subsequent establishment of internet and tech-based start-up companies during the 1990s, and rising momentum as the decade came to its end” numerous entrepreneurs decided to take advantage of the new opportunities and flooded the market with their online companies, hence the dotcom name for this crisis. Investors jumped at the opportunity to invest in these start-ups, leading to exceedingly high valuations for the new firms. Everyone wanted a piece of the future, so investors fought to buy stocks in these companies, hoping to make a fortune. However, this hype surrounding dotcoms created one of the biggest bubbles the world had ever seen, as investors measured the success and value of these firms by the traffic on their websites rather than “fundamental company analysis involving the study of company revenue generation potential and business plans, industry analysis, market trend analysis, and P/E ratio”, according to the Corporate Finance Institute. In this instance, dotcom companies served as tools for innovation and presented many business opportunities, yet they couldn’t live up to the hype and a bubble was created. Nowadays, people are comparing the mania surrounding AI to the hype of the dotcoms, arguing that the similarities are striking and that history will repeat itself. So how is AI similar to the dotcoms, and why is this technology considered the essence of the next big bubble?
AI is an enabling technology that has drastically changed our lives and the business sector since the launch of ChatGPT and the rise of new tech giants such as OpenAI and Anthropic. Numerous experts emphasize the dangers of this technology as fears grow over its ability to displace human workers and redefine the very nature of work. AI has almost infinite uses, and researchers often consider it one of the greatest breakthroughs of human ingenuity and innovation. Yet there is growing fear among investors that AI companies are overvalued, as OpenAI, for example, is still struggling to turn a profit, given the high costs of developing large language models. A Firstpost news report titled “The AI Bubble: Why 95% of GenAI Projects Are Failing” highlights the lack of profitability for a significant number of AI companies, as the demands of the investors are met with a sobering reality: AI is not progressing as quickly as they had predicted, AGI is not coming soon, and the costs of development are continuously increasing. The presenter for this news report, Palki Sharma, adds that “bubbles rarely deflate politely”, emphasizing the dangers of overvaluing AI companies and being blinded by going further in a dangerous hype spiral. A CNBC report titled “Are we in an AI bubble? Here’s what analysts and experts are saying” by Jaures Yip also highlights the dangers of placing too many bets on AI, while adding that in spite of fears, numerous investors remain confident in their assertions regarding AI, and do not expect a bubble. A UBS report emphasizes the bank’s belief that AI will become an increasingly profitable venture in the future, saying, “We expect global AI spending to hit USD 375bn this year. For 2026, we anticipate another 33% growth to USD 500bn.” However, UBS also provides cautionary advice surrounding this technology, adding that “Investors should seek a more balanced and diversified positioning across the AI value chain, including exposure to AI laggards such as internet and software companies, and China’s tech sector.”
In conclusion, AI is a powerful enabler technology that changed the global markets and increased our work efficiency. However, despite its almost infinite uses and the value it holds for the scientific community, tech, and business sectors, evidence of the overvaluation of AI companies is increasing. Experts and investors alike are divided on whether AI will lead to a bubble, given the mania surrounding the technology and the companies that support it. Many argue that once this bubble bursts, it will bring down the global market, leading to mass unemployment and significant political, social, and economic instability. Evidence suggests that the AI mania resembles the dotcom hype, yet the data remains insufficient to provide a clear answer on whether we are living in an AI bubble.
However, it is wise not to fall prey to AI mania and to focus on clear financial data when evaluating AI companies, so that we can avoid falling into the hype spiral that generated the dotcom bubble, which wreaked havoc on the global market.