Investors Reassess AI Stocks as Infrastructure Costs Weigh on Profit Outlook, ING Says

Investors are reassessing their positions in artificial intelligence stocks amid concerns that massive infrastructure spending could pressure corporate earnings and valuations, according to a recent analysis by financial services firm ING. While the long-term demand for AI services remains strong, the near-term financial impact of building out the required capacity is prompting a more cautious outlook.

The Capital Expenditure Challenge

The primary concern centers on the escalating capital expenditure (capex) required to build and maintain AI data centers. ING notes that this spending surge is expected to have several downstream effects on financial performance:

• Higher Depreciation: Increased investment in physical infrastructure leads to higher non-cash depreciation charges, which can weigh on reported earnings per share (EPS).
• Slower EPS Growth: The combination of higher costs and the time lag before AI investments generate significant revenue could slow the pace of earnings growth.
• Reduced Share Buybacks: Companies may divert free cash flow from share repurchase programs to fund infrastructure. This is significant as buybacks have been a key driver of equity valuations for major tech firms like Microsoft, Alphabet, and Meta Platforms.

These factors could make investors less willing to pay premium valuation multiples for tech stocks, especially if substantial AI revenue takes longer than anticipated to materialize.

Spending vs. Returns

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Despite the risks, analysts view the current spending as economically sound, as demand for AI computing continues to outstrip available supply. For example, Microsoft is investing approximately $65 billion in cloud and AI infrastructure in fiscal 2025 while generating an estimated $37 billion in annualized AI revenue, according to the report.

Most large technology companies are able to finance these ambitious projects through their substantial operating cash flow. The volatility in tech stocks this year, which saw Microsoft fall 20% and Oracle drop 27% in the first half of 2026 while Alphabet gained 14%, reflects this uncertainty over the timing and magnitude of returns on AI investments.

Company-Specific Risks

The analysis highlights varying risk levels among key players. Oracle is noted as a potentially higher-risk case, as its aggressive investment program could strain its cash flow and increase its need for external funding.

Meanwhile, market leader Nvidia may face intensifying competition over the long term. Tech giants including Microsoft, Alphabet, and Amazon are actively developing their own custom AI chips to enhance efficiency and reduce their reliance on third-party suppliers. The central question for investors remains whether future revenue growth and profit margins will ultimately justify the historic level of investment being made today.