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After a period of intense enthusiasm and record valuations, the artificial intelligence (AI) industry now faces new realities. While some experts talk about normalization, others fear an imminent stock market bubble burst. In this context, the colossal investments by tech giants and the growing pressure for profitability raise crucial questions about the future of this technology. Discover how AI is preparing to meet these challenges and the prospects that are emerging for the coming years.
The 3 key facts not to miss
Tech giants such as Microsoft, Nvidia, Amazon, Google, Meta, and Oracle, often referred to as “hyperscalers,” have invested nearly **400 billion dollars** in AI this year. These investments continue to increase, with a forecasted growth of **34%** next year. The goal is to stay at the forefront of the sector and meet a demand that shows no signs of weakening.
The infrastructures needed to support these innovations, particularly data centers, are extremely costly. For example, Meta’s data center cost **30 billion dollars**, while Oracle and OpenAI’s reached **38 billion**. McKinsey predicts that investments in this area will reach **5,200 billion dollars** by 2030, highlighting the scale of the commitment needed to support AI.
With rising investments, financial pressure on AI companies is intensifying. Sector leaders are beginning to exhaust their reserves, pushing them to consider debt solutions to finance their growth. Investors, meanwhile, are concerned about the **profitability** of the models developed, often offered for free to users.
Jacques-Aurélien Marcireau, from Edmond de Rothschild AM, warns that the market is currently saturated with free offers. He estimates that the “real price” of AI will only be known in **4 to 5 years**. This highlights the difficulty of monetizing these technologies in the short term, despite strong demand.
The monetization of AI tools, such as ChatGPT, remains a challenge. Only **5%** of OpenAI users have opted for a paid subscription, illustrating the difficulty of converting free users into paying customers. Guillaume Uettwiller, a specialist in equity management, reminds that focusing solely on current monetization could obscure the long-term opportunities of the sector.
Recent studies, notably from MIT and the Harvard Business Review, highlight that **95%** of companies using AI have not yet seen measurable gains. They also point out that **40%** of the work produced by AI could be of poor quality. These results underscore the need for time and development to maximize AI’s potential.
The artificial intelligence sector has experienced rapid growth over the past decades, evolving from a technological curiosity to an essential component of many industries. Advances in computing power, combined with the increase in available data, have enabled the development of sophisticated algorithms capable of tasks ranging from image recognition to text generation.
Historically, AI has gone through several phases of enthusiasm followed by periods of skepticism, but the current era is marked by more widespread adoption and practical application in various fields such as healthcare, finance, and customer services. As the sector continues to evolve, companies and investors must navigate between the promises of AI and economic realities to ensure its sustainable success.