Will rising compute costs or the amount of computing resources — such as time, memory and energy required to execute a specific algorithm or process — trigger the end of the four-year-long AI boom and finally burst the burgeoning AI bubble? And what are all these AI tokens, and why are some of the largest and most profitable tech companies in the world clamping down on the use of these tokens?
There is a lot of talk these days about the soaring cost of compute, even as high-flying AI “picks and shovels” stocks like chip behemoth Nvidia Corp have been pummelled in recent weeks. Earlier this month, Alex Karp, the outspoken CEO of Palantir Technologies, a software and data analytics giant whose platforms integrate, analyse and visualise massive amounts of disconnected information, went on financial TV network CNBC to rant about the rising cost of compute and lashed out at the business models of frontier AI labs.
Karp accused Anthropic PBC and OpenAI Group of levying a “wealth tax” on businesses while caching corporate customers’ intellectual property and siphoning away their competitive edge. He argued that model labs charge high fees while silently extracting clients’ proprietary data structures and institutional workflows to train their own future models. Moreover, the Palantir CEO noted that skyrocketing AI token consumption represented an inefficient drain on enterprise software budgets. Karp claims that CEOs are privately “livid” about skyrocketing AI expenses that have failed to translate into tangible return on investment or bottom-line value.
