Tech Giants' $700B AI Bet Faces Uncertain Returns: Jefferies

Global tech companies are set to spend up to $700 billion on AI infrastructure this year, with spending potentially rising to $800 billion in 2026. Jefferies warns that this massive investment surge is straining cash flows, with capex as a percentage of operating cash flow projected to reach 92% by 2026. The report highlights uncertain returns and business models, comparing AI to the capital-intensive airline industry rather than high-margin digital businesses. It also notes emerging cracks in the AI growth narrative, including missed targets by OpenAI and declining market share for ChatGPT.

Key Points: AI Spending Surge: $700B Bet with Uncertain Returns

  • AI capex by US tech giants could reach $700B in 2025 and $800B in 2026
  • Spending as % of operating cash flow projected to rise from 41% in 2023 to 92% in 2026
  • Jefferies warns of uncertain monetisation and sustainable profitability
  • OpenAI missed user and revenue targets; ChatGPT's market share declined
3 min read

Tech giants ramp up AI spending, but returns remain uncertain: Jefferies

Tech giants may spend $700B on AI this year, but Jefferies warns of weak returns, rising cash flow pressure, and uncertain business models.

"AI will turn out to be much more like the capex-intensive airline industry than the winner-takes-all network effect of the Internet economy. - Jefferies report"

New Delhi, May 1

Global technology companies are set to spend unprecedented sums on artificial intelligence infrastructure, even as concerns mount over weak returns and uncertain business models, according to a latest Greed & Fear report by Jefferies.

The report, titled "The mother of all capex cycles", highlights that AI-related capital expenditure by major US tech players could reach about USD 700 billion this year and USD 800 billion next year, reflecting the scale of the ongoing investment surge.

"This number represents about 2% of US GDP and about 20% of US non-residential fixed investment," the report noted, adding that it is also "equivalent to nearly 30% of total non-financial pre-tax profits of all US companies."

Despite the massive spending, Jefferies flagged rising pressure on cash flows of large technology firms, particularly hyperscalers such as Microsoft, Amazon, Alphabet and Meta.

"Capex as a percentage of operating cash flow has risen from 41% in 2023 to a projected 92% in 2026," the report said, underlining how AI investments are increasingly consuming company resources.

The report warned that the sustainability of such high investments remains uncertain, especially given the lack of clear monetisation avenues in AI.

"Rising investment required to maintain leadership... will likely mean 'sustainable profitability is far away for pure model players'," it said, pointing to ongoing challenges in building viable AI business models.

Jefferies added that AI may ultimately resemble a capital-heavy industry rather than a high-margin digital business.

"AI will turn out to be much more like the capex-intensive airline industry than the winner-takes-all network effect of the Internet economy," the report observed.

The aggressive spending trend continues despite growing investor concerns, with major technology firms either maintaining or increasing their capital expenditure guidance.

"Microsoft said... it expects to spend USD 190 billion in capex this calendar year," the report noted, while Alphabet and Meta have also raised their spending outlook.

At the same time, the report pointed to emerging cracks in the AI growth narrative, citing missed targets and rising competition among leading AI firms.

A recent media report highlighted that OpenAI "missed an internal goal of reaching 1bn weekly active users" and has "missed multiple monthly revenue targets earlier this year," Jefferies said.

The report also noted shifting market dynamics, with competitors gaining ground in the rapidly evolving AI ecosystem.

"Gemini's web traffic share... has increased from 6% to 25.5%... while ChatGPT's market share has declined from 77.4% to 56.7%," it said, citing industry data.

Meanwhile, suppliers of critical components such as memory chips are emerging as key beneficiaries of the AI boom, given tight supply conditions.

Jefferies cautioned that the biggest risk remains a potential reassessment of the current spending cycle.

"The risk... is a sudden realisation by hyperscalers, or investors, that they have over invested," the report said.

Overall, the report underscores that while demand for AI and computing power is expected to continue rising, the gap between investment and returns remains a key concern for the industry.

- ANI

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Reader Comments

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Priya Iyer
Interesting comparison with the airline industry! Capital-intensive and low margins - that's what we might end up with. But honestly, if AI can help our farmers get better crop prices or improve healthcare in rural areas, I don't mind if the returns are uncertain for now. Technology is about more than just profits na?
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Arun Kumar
"Mother of all capex cycles" - that's one way to put it! But I think Jefferies is right to sound cautious. We have seen this movie before with dot-com bubble. The difference is that AI actually has real world applications, just need time to figure out how to make money. India should focus on creating AI solutions for our unique problems rather than just trying to copy Silicon Valley models.
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Meera Nair
Actually, this is good news for us non-tech folks! When these giant companies overinvest, it drives down costs for everyone. Our startups should be able to get cheaper AI infrastructure. But yes, investors need to be careful - 92% of operating cash flow going to capex by 2026 is scary numbers, even for Big Tech. One wrong move and they could be in trouble.
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Vikram Joshi
Remember when everyone said crypto was the future and look where we are now? AI is different but still... companies spending 800 billion dollars without a clear path to profit is concerning. I appreciate Jefferies for being the voice of reason here. Our IT sector should focus on sustainable growth rather than jumping on every hype train.
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Sarah Bennett
It's fascinating to see how quickly ChatGPT's market share dropped when alternatives like Gemini appeared. Competition is healthy, but the question remains - will any of these models ever be profitable enough to justify this

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