AI sector volatility may actually prolong growth, analyst suggests

Alphabet’s cash flow significantly declined in the third quarter, prompting the Google parent company, alongside Meta and Amazon, to announce substantial spending initiatives. Alphabet’s stock price plummeted approximately 12% on Thursday, marking its worst trading day on record.

In contrast, Microsoft reported robust cloud growth and maintained positive free cash flow, although it anticipates increased capital expenditures. SK Hynix, a leading AI chip manufacturer, exceeded earnings expectations. Anthropic’s preliminary IPO filing indicated a positive cash flow for the first half of this year.

Some analysts believe this period of market adjustment will help distinguish successful AI companies from those struggling, rather than signaling a complete collapse of the sector. Market veteran Ed Yardeni suggests that financial, physical, and political limitations are impacting AI investment.

He highlighted investor concerns regarding the return on investment for massive capital expenditures and potential capital supply shortages. Recent financial activities include SpaceX securing $40 billion in debt financing from Elon Musk, Meta planning to raise $95 billion in equity, and Microsoft issuing $25 billion in bonds.

Physical constraints, such as electricity shortages and grid capacity limitations, are also hindering data center expansion, compounded by growing political opposition to these facilities. Yardeni cautioned that worsening constraints could trigger stock declines, given AI’s significant contribution to corporate earnings and GDP growth.

“However, we view these constraints as healthy for the durability of the AI boom!” he stated. Reduced capital flow could lead to more efficient investment allocation, mitigating over-investment risks. Yardeni anticipates that major tech companies—Amazon, Alphabet, Meta, Microsoft, and Oracle—will collectively invest nearly $800 billion this year, and $1 trillion annually from 2027 through 2030. Companies with weaker financial positions may face higher borrowing costs and potential slowdowns.

Yardeni attributes the overall outlook to the strength of the U.S. economy, which he believes has performed exceptionally well. He doesn’t foresee midterm election outcomes significantly impacting this trajectory.

“Further AI jitters therefore could set up buying opportunities rather than signal the end of the boom,” he said. Economists at Oxford Economics note that a Democratic Congress could increase scrutiny and regulation of the AI sector.

However, they predict that any federal legislation will be gradual, and a nationwide halt to data center projects is unlikely, shifting influence to state and local governments. Elections in Texas, the Southeast, and Midwest will be particularly crucial. Oxford also sees potential benefits in a moderated AI buildout, potentially easing inflation by reducing demand for semiconductors and other tech components.

“If the AI capex cycle runs hotter for longer, this component of inflation would prove stickier, keeping pressure on the Federal Reserve to keep monetary policy restrictive for longer,” Oxford stated. “However, a slower buildout would ease inflationary pressures through the end of the decade and relieve some of the upward pressure on long-term rates.”