Tech Giants' AI Spending Spree Prompts Investor Reassessment, ING Says

Investors are taking a closer look at their artificial intelligence holdings as the immense capital required to build out AI infrastructure threatens to weigh on near-term earnings growth and valuations, according to a report from ING. While the long-term demand for AI services remains robust, the scale of current spending is prompting a reevaluation of the immediate returns.

The Capex Conundrum

The core concern for investors is the impact of soaring capital expenditure on financial performance. Major technology companies are investing billions in cloud and AI infrastructure, which is expected to have several downstream effects:

• Increased Depreciation: Higher spending on physical assets like servers and data centers will lead to greater depreciation costs, directly impacting net income.
• Slower EPS Growth: The combination of higher costs and massive investment could slow earnings per share (EPS) growth, a key metric for investors.
• Reduced Share Buybacks: Companies may need to divert a larger portion of their free cash flow to fund these projects, reducing their capacity for share repurchase programs that have historically supported stock prices.

This dynamic has contributed to significant volatility in tech stocks. In the first half of 2026, Microsoft (MSFT) fell 20% and Oracle (ORCL) dropped 27%, while Alphabet (GOOGL) gained 14%, reflecting investor uncertainty about the return on these AI investments, the report noted.

Company-Specific Pressures

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While current spending levels are seen as economically justified—with Microsoft investing an estimated $65 billion in fiscal 2025 against roughly $37 billion in annualized AI revenue—the pressure on cash flow is a key focus. ING highlighted that Microsoft, Alphabet, and Meta Platforms (META) will likely see their share buyback capacity limited by these expenditures.

Oracle is viewed as a "higher-risk case," as its ambitious investment program could strain its cash flow and increase its need for external funding. Meanwhile, even market leader Nvidia (NVDA) faces potential long-term headwinds as major customers like Microsoft, Alphabet, and Amazon (AMZN) work to develop their own proprietary AI chips to improve efficiency and reduce costs.

The Long-Term Outlook

Despite the near-term financial pressures, ING's analysis suggests the current wave of AI spending is fundamentally sound, as demand for AI computing continues to outstrip available capacity. The central question for investors is not *if* the investments are necessary, but whether the eventual revenue growth, profit margins, and earnings expansion will justify the scale of today's spending.