Paris (France) (AFP) – Calls to rein in the development of ever more powerful AI models are fuelling fears over the massive capital outlays in the sector — and the prospect that profits from the promised revolution might not be enough to cover them. AI optimism has been the primary driver of stock market gains over the past year, allowing valuations to stay sky high despite the fallout from the ongoing US war against Iran and surging energy prices.
“And if American and European companies could print such strong earnings despite such an ugly geopolitical, fiscal and trade backdrop, it’s because AI boosted investment, growth and productivity,” said Ipek Ozkardeskaya, senior analyst at Swissquote. Anthropic CEO Dario Amodei was the latest to voice alarm, calling on Saturday for an industry-wide accord to “pace the frontier” to better control the breakneck progress, citing attacks by a swarm of AI agents going rogue.
“It’s my worry that in 6-12 months such a swarm could be capable of taking over the entire internet,” potentially causing hundreds of billions of dollars in damage, he wrote in a 3,800-word “short post” on his website. His call garnered support from rivals Sam Altman at ChatGPT maker OpenAI and Elon Musk, owner of xAI. That was enough to spook markets, with AI and other technology stocks tumbling on Monday and weighing on the broader equity markets.
“Over 50 percent of the S&P 500’s sectors are AI-linked, and the top hyperscalers make up a third of the weighting of the main US blue-chip index,” said Kathleen Brooks, research director at XTB, referring to computing giants like Microsoft and Google-parent Alphabet. “Any change in the AI trade will have big ramifications for US indices,” she warned.
Amodei’s alert came just as Altman said he would not pursue an initial public stock offering this year, saying it would be “ill advised” given the swirling safety concerns. Anthropic, meanwhile, is gearing up for an imminent IPO to raise further billions for its unprecedented spending on development as well as massive data centres for its power-hungry models.
The two events have rekindled investor worries of so-called “circular investments” that have seen AI companies investing in each other in recent years. AI chip behemoth Nvidia, for example, has been called the “central bank of AI” for providing huge amounts of infrastructure financing to dozens of companies around the world. Companies have even committed to building their own power plants, bolstering demand in the “picks and shovels” sectors like construction and logistics.
“The leases, debt and power commitments remain even if expected compute demand and revenue growth slow,” Ozkardeskaya said. “And that could bring credit risk increasingly into the AI story, particularly for highly leveraged data-centre operators and lenders exposed to projects built on aggressive assumptions about future AI demand,” she added. If AI firms “were to significantly cut their R&D spending, their hiring, their investments, it could have an impact on financial markets,” agreed Mark Mahaney, an Evercore analyst cited by Bloomberg.
Investors also wonder if the sudden calls to slow down AI development are not just cover by hyperscalers to slow spending that has gotten ahead of itself. “The big four hyperscalers, which include Amazon, Microsoft, Meta, and Alphabet, have spent roughly $900 billion in the last two years on capital expenditures for AI,” Brooks noted. “These numbers are huge, and frankly ridiculous,” she said, saying reduced outlays could free up cash for generating tangible profits from investments already made.
But that shift could prove painful in the short term. “After months of one-way enthusiasm, the market is now asking whether AI leadership can continue to carry global equity indices if earnings delivery is pushed further out and valuations remain stretched,” said Patrick Munnelly, a market strategist at Tickmill Group.
© 2024 AFP
