Tech Giants' AI Spending Spree Prompts Investor Scrutiny on Profitability

Investors are beginning to reevaluate their positions in artificial intelligence as the enormous infrastructure spending required could pressure earnings growth and valuations, even with robust demand for AI services, according to analysts at ING.

While the long-term outlook for large technology companies remains positive, the surge in capital expenditure is raising near-term concerns.

The Capex Conundrum

Massive investments in data centers and computing power are expected to significantly increase depreciation costs, which could slow earnings per share (EPS) growth. This spending also reduces free cash flow, limiting the capacity for the large-scale share buybacks that have historically supported equity valuations.

• Microsoft (MSFT), for example, is investing approximately $65 billion in cloud and AI infrastructure in fiscal 2025.
• This spending is against an annualized AI revenue of roughly $37 billion.

According to ING, the current spending levels are economically justified as demand for AI computing continues to outpace available capacity. Most large tech firms can finance these projects through operating cash flow.

Market Impact and Company Risks

Ad

The uncertainty over returns on AI investments has contributed to significant volatility in technology stocks this year. During the first half of 2026, Microsoft shares fell 20% and Oracle dropped 27%, while Alphabet (GOOGL) gained 14%, according to the source.

Analysts note that slower buybacks could become a headwind for Microsoft, Alphabet, and Meta Platforms (META), potentially making investors less willing to pay premium multiples if AI revenue growth takes longer than expected to materialize.

• Oracle (ORCL) is highlighted as a higher-risk case, as its ambitious investment program could strain cash flow and increase its need for external funding.
• Nvidia (NVDA) may face intensified competition over the long term as customers like Microsoft, Alphabet, and Amazon (AMZN) develop their own custom AI chips to improve efficiency.

The Long-Term Bet

Despite the near-term financial pressures, the current wave of AI spending is widely viewed as fundamentally sound and necessary to capture future growth. The central question for investors is whether the eventual expansion in revenue, profit margins, and earnings will ultimately justify today's level of investment.