Key takeaways:
- AI infrastructure spending is raising concerns about valuations, funding needs and future profitability.
- Morgan Stanley projects $1.5 trillion in external AI infrastructure financing by 2028.
- Rising oil prices and borrowing costs are adding pressure to global markets.
Growing investor concerns over AI infrastructure spending are pressuring technology stocks as major companies seek billions of dollars in funding, while higher interest rates and energy prices raise borrowing costs and threaten future profitability.
AI companies face growing pressure to prove returns
Investor anxiety over the capital required to build AI infrastructure has weighed on technology stocks this week, with concerns mounting over valuations, financing needs and the time required for investments to generate returns.
OpenAI told investors its annualized revenue for September was nearly $50 billion, below what it had previously indicated, Reuters reported. The development has added to questions about whether leading AI companies can sustain their spending while meeting expectations for growth and profitability.
In Australia, data center operator Firmus shelved its planned $5 billion initial public offering and said it would pursue private fundraising instead. The decision adds to signs that companies building AI infrastructure may face greater scrutiny from investors as they seek capital.
Morgan Stanley estimates that AI infrastructure will require $1.5 trillion in external financing by 2028. The projected funding need comes as borrowing costs rise in several major economies, increasing the financial burden on companies building data centers and acquiring advanced computing equipment.
Major technology firms prepare for new fundraising
In the United States, SpaceX, Broadcom and Oracle are expected to raise billions of dollars to purchase high-end AI chips, according to the Reuters report.
The planned fundraising highlights the scale of AI infrastructure spending needed to support AI development. Companies must secure financing for computing capacity and related infrastructure before the technology’s commercial returns become fully apparent.
Investors are increasingly seeking clearer evidence of future customer demand and cash flows to justify AI infrastructure spending. Projects may take years to deliver expected returns, leaving companies exposed if revenue growth falls short of projections or financing becomes more expensive.
Rising interest rates add to that risk. Central banks are confronting inflationary pressure from higher energy prices, making it more costly for businesses to borrow money for long-term infrastructure projects.
The funding concerns also coincide with growing public uneasiness about AI and the influence of a small group of companies and individuals shaping its development. Questions about the technology’s potential risks have added another layer of uncertainty to an already closely watched investment theme.
Rising energy prices add to market strains
Brent crude futures remain above $100 per barrel as the war in the Middle East shows no signs of easing. Elevated energy prices are contributing to inflation concerns and complicating efforts by central banks to manage borrowing costs.
Global bond markets have experienced a months-long selloff, pushing borrowing costs to multidecade highs. France has faced particular pressure as investors assess the country’s public finances and the outlook for government borrowing.
On Thursday, euro zone finance ministers and the European Central Bank urged France to pass a 2027 budget to help calm bond markets. The pressure underscores how fiscal uncertainty and higher financing costs are affecting governments as well as companies.
Markets will also watch economic data and central bank commentary on Friday for further signals about inflation and monetary policy.
The European Central Bank officials Piero Cipollone and Isabel Schnabel are scheduled to speak. Investors will also assess September inflation data from Brazil and September employment figures from Canada.
The developments come as investors weigh the long-term promise of AI against the immediate costs of building the infrastructure required to support it. Whether companies can turn heavy spending into sustainable revenue remains a central question for markets.
