'AI is the biggest investment bubble yet': Zoho's Sridhar Vembu on spending boom

Sridhar Vembu, the founder and Chief Scientist of Zoho, has recently labeled the current wave of investment in Artificial Intelligence (AI) as a bubble. He asserts that while the technology itself holds genuine potential, the surrounding financial speculation has reached unprecedented heights. In a post on X, Vembu stated, "AI is clearly an investment bubble. Massive tech trends often trigger financial bubbles, and acknowledging this does not diminish the technology's validity. This particular bubble is the largest we have seen yet. Learning to navigate it without significant losses is essential." Vembu's comments were prompted by a discussion initiated by the social media account Bull Theory, which suggested that the ongoing AI surge might be exaggerating the actual demand for cloud computing services. The account claimed that major players in the industry, such as Microsoft, Oracle, Google, and Amazon, have substantial investments tied to AI startups like OpenAI and Anthropic, which account for over half of the anticipated cloud computing backlog. The Bull Theory post argued that the significant investments from tech giants into AI startups often come with conditions that require those startups to utilize the funds for cloud services offered by the investors themselves. For instance, it highlighted Microsoft's multi-billion dollar investment in OpenAI, noting that part of the deal included cloud credits that OpenAI utilized to access Microsoft's computing resources. This cycle, it claimed, allowed Microsoft to register the server usage as new cloud revenue, effectively turning the investment back into profit for itself. The analysis further revealed that OpenAI's cloud expenses have skyrocketed to over $60 billion, a figure that vastly exceeds its reported revenue of $25 billion. This discrepancy is attributed to a continuous cycle of funding being redirected into cloud revenue. Similarly, Anthropic's spending on Amazon Web Services was highlighted to exemplify the same trend, wherein it reportedly spent $2.66 billion in just nine months, which was nearly all of its earnings at that time. By examining these dynamics, the post suggested that inflated valuations of AI startups enable tech companies to report gains on their investments prematurely, inflating profits even before those gains materialize. While Vembu acknowledged the broader concerns about the AI investment landscape, he refrained from specifically addressing the claims made by Bull Theory.