The artificial intelligence (AI) sector continues to dominate headlines after completing one of the most transformative years in tech. According to reports, AI startups attracted more than $202 billion in 2025, almost half the global funding of about $405 billion.
The AI sector’s capital flow has been growing for the last couple of years after slowing significantly in 2022 and 2023. After hitting $97 billion in 2021, funding for AI startups slumped to $63 billion in 2022 and $64 billion in 2023, before bouncing back to $114 billion in 2024.
Concerns over rising AI CapEx and potential AI bubble
The recent spike in investment in the sector has led some analysts to compare it to the Dot-com boom of the late 1990s to early 2000s. We all know what followed after that, which is why some analysts are already beginning to express scepticism about the immediate future of AI.
According to reports, some investors are already concerned that a lot of cash that has been committed towards powering AI has yet to start bearing fruit, and this could lead to a capital squeeze in 2026. For instance, Meta Platforms and Oracle Corporation were reported to be already experiencing cash flow constraints amid rising AI capital expenditures.
The biggest cost drivers in AI
One of the biggest requirements to take the AI industry to the next level is computing power. This has led to the rise in demand for advanced hardware in the form of graphics processing units (GPUs) to build gigantic data centers. There is also a need for powerful cloud services to provide the massive, scalable infrastructure needed to train and run complex AI models.
According to a CNBC report, capital investment in AI data centers reached a whopping $61 billion. Overall, Amazon, Google, Meta, and Microsoft collectively invested an estimated $320 billion to $364 billion into AI infrastructure and data centers in 2025 alone.
Comparing the current AI buzz to the Dot-com boom
The current AI buzz draws some parallels with the dot-com boom of the 1990s to early 2000s. Like the do-com boom, there are some overhyped valuations as demonstrated by the spike in the market capitalizations of leading AI companies.
For instance, Nvidia has seen its market cap rise from about $1 trillion at the end of 2023 to a whopping $4 trillion market cap, making it the world’s biggest publicly traded company. There is also a noticeable rise in companies interested in investing in AI amid the fear of missing out (FOMO).
However, there are also some distinct differences primarily because of advances in technology and the main companies that are leading the AI race.
OpenAI, which boasts to run the fastest growing AI tool, ChatGPT, is backed by one of the biggest technology companies, Microsoft Corporation. Gemini is Google’s AI model, while Meta Platforms has Meta AI.
Therefore, unlike in the dot-com boom where technology upon which businesses were building was still at a nascent stage, AI finds well established network technologies like 5G, powerful GPUs, and a market that is ready for the digital economy.
Moreover, some of these companies, like Google and Meta do not rely on income from their AI projects to develop their AI models. They boast strong cash flows from other segments of their businesses, which allow them the time they need to build market ready products.
Therefore, while there are genuine fears that the current AI buzz could culminate into a bubble that ends in a burst, the financial flexibility of some of the players in the space suggests money will likely continue to flow into the sector in 2026.
According to reports, the projected AI-related CapEx by the top five US hyperscalers (Amazon, Microsoft, Google, Meta, and Oracle) is about $450 billion in 2026, which is a significant improvement from the figures reported for 2025.
