Elon Musk reacted to the high costs of building superintelligent AI on X. Investor Chamath Palihapitiya said Anthropic needs $200 billion for computing power. Musk joked, "Sometimes I wonder how many dollars there are in the world, because super intelligence seems to want them all." AI development now requires massive funding.
Ultimately, building a machine with all the answers might just require humanity to empty all of its pockets.
The race to build artificial intelligence is getting incredibly expensive, and even the world's richest man is taking notice. Elon Musk recently reacted to the staggering amount of money AI companies need to survive, joking that building superintelligent AI might require all the money in the world.
Musk's comment came in response to a discussion about Anthropic, the AI startup behind the Claude chatbot, and its massive funding needs.
On a recent episode of the All-In Podcast, Investor Chamath Palihapitiya suggested that Anthropic needs a massive "war chest" of at least $200 billion just to buy enough computing power to survive a potential market downturn. To get that kind of cash, Chamath argued, the company should lower its expected valuation to attract more investors.
Reacting to Chamath's math on X (formerly Twitter), Musk posted: "Sometimes I wonder how many dollars there are in the world, because super intelligence seems to want them all."
The $200 billion math
The conversation that caught Musk's attention highlights just how capital-intensive the AI industry has become. Training frontier AI models requires thousands of highly expensive AI chips and massive data centres that consume gigawatts of electricity.
During the podcast, Chamath explained why Anthropic needs to raise a record-breaking amount of money right now, rather than waiting.
"Here's my very specific thing about why I think they should price it to clear the market for $200 billion," Chamath said. "They need, in my estimate, at least $200 billion. If you want to be super safe, a quarter-trillion gets the job done."
Chamath noted that to convince investors to hand over $200 billion, Anthropic might have to accept a lower overall valuation, perhaps dropping it to around $1.5 trillion, rather than pushing for a $1.9 or $2 trillion valuation.
Why does AI need so much money?
Musk's post perfectly captures the current reality of the tech industry. Developing Artificial General Intelligence (AGI), AI that equals or surpasses human intelligence, is no longer just a software problem; it is a hardware and energy problem.
Companies like OpenAI, Anthropic, and Musk's own xAI are spending billions of dollars on Nvidia chips and massive data centres. As AI models get smarter, they require exponentially more computing power to train and run.
While AI has the potential to transform industries and create massive wealth, Musk's observation rings true for now: the journey to superintelligence is going to be one of the most expensive projects in human history.