The artificial intelligence race is expanding, but not every company is willing to spend billions of dollars to remain competitive. Zoho founder Sridhar Vembu has indicated that his company will remain cautious about major infrastructure investments even as businesses continue to pour money into AI. His remarks came in response to American venture capitalist Chamath Palihapitiya, who questioned the quality of revenue generated by the current AI boom.
Palihapitiya argued that a significant portion of AI spending comes from unprofitable startups backed by venture capital. Vembu appears to share concerns about the situation, saying Zoho will prioritise research instead of rushing into costly infrastructure investments.
Sridhar Vembu says Zoho will wait before making big AI bets
Responding to Palihapitiya on X, Vembu said Zoho has generally avoided a business strategy built around making enormous investments using other people's money.
He added that the company continues to invest in AI research and development but does not want to commit substantial resources to infrastructure while the market remains overheated.
Vembu said Zoho was investing in foundational AI research and development but would wait for a less speculative market environment before making major infrastructure investments.
In other words, Zoho intends to strengthen its AI capabilities without immediately spending enormous sums on the computing infrastructure required to develop and operate AI models. The company appears to be adopting a cautious, wait-and-watch strategy rather than treating every emerging AI opportunity as a reason for heavy spending.
His comments also highlight a wider concern across the industry. Developing AI systems requires substantial investments in computing power, chips and data centres. Companies are spending aggressively to secure these resources, but the long-term returns from some of these investments remain uncertain.
Chamath Palihapitiya questions AI spending
Palihapitiya's remarks provide further context for this cautious approach. He claimed that just 1 per cent of companies account for 90 per cent of AI spending, with 80 per cent of that expenditure coming from unprofitable companies backed by venture capital.
He estimated that around 70 to 75 per cent of every dollar spent on AI comes from AI companies using venture capital funding. According to him, this raises concerns about the quality and long-term sustainability of the revenue being generated.
Palihapitiya drew a comparison with the early years of cloud computing, when venture-backed startups were among the initial customers of services such as Amazon Web Services. He argued that the AI industry still needs to move beyond speculative spending towards more consistent expenditure that translates into earnings for publicly listed companies.
His argument is not that AI lacks a future, but that the current spending boom may not fully reflect the extent of sustainable, long-term demand.
