Big Tech Faces 'Red Flag' Moment as AI Capex Rises and Cash Flow Concerns Emerge

Big tech companies are significantly increasing their capital expenditures on AI, which is raising concerns about potential negative cash flows and stock valuation risks. According to Evercore ISI analysts, this spending could push these companies into negative free cash flow and increase the likelihood of a market bubble. The report highlights that while debt levels remain below the median of S&P 500 companies, the trend of rising debt and declining free cash flow is a cause for concern.

The artificial intelligence industry has triggered significant stock market turmoil as investors grapple with two conflicting fears: the potential for AI to disrupt entire sectors and the concern that heavy capital expenditures on AI will not yield immediate returns. This has caused a sell-off in tech stocks, with companies like Microsoft, Amazon, Alphabet, and Meta experiencing significant losses in market value. The situation has created a no-win scenario for investors who are now demanding clearer timelines for AI's financial returns.

The current action in tech capital markets is centered around debt issuance rather than equity. UBS estimates that global tech and AI-related debt issuance surged to $710 billion in 2025 and could reach $990 billion by 2026. The four hyperscalers—Alphabet, Amazon, Meta, and Microsoft—are projected to spend nearly $700 billion on capital expenditures and leases to support their AI buildouts.

Why Did This Happen?

The aggressive spending on AI is pushing companies to allocate more of their cash flows toward AI development and forcing them to raise debt to sustain growth. According to Evercore ISI analysts, this is pushing companies into negative free cash flow and could signal a significant red flag for the market. The analysts also note that rising debt levels and potential overinvestment in AI could increase market volatility and raise concerns about the sustainability of current valuations.

China is gaining momentum in the global AI landscape, with Huawei and others leveraging low-cost power and scale to compete with U.S. giants like Nvidia. Analysts predict a growing "China tech sphere" as developing economies choose low-cost Chinese alternatives over more expensive U.S. solutions. This could lead to a world where most of the global population uses a Chinese tech stack within five to ten years.

How Did Markets React?

India's AI and deep tech investment has shown a structural shift, with AI funding rising 58% year-over-year in 2025 and deep tech representing 15% of VC-PE activity. The India Deep Tech Alliance (IDTA) has announced a $2.5 billion capital commitment, including $1 billion dedicated to AI startups over the next three years. The report indicates 188 AI-related deals totaling $1.22 billion and 147 deep tech deals totaling $1.19 billion in 2025.

Artificial intelligence is viewed as a multiyear investment theme that could drive productivity and profits, but the extent of its transformative impact is still uncertain. To assess the risk of a potential bubble, investors should monitor five key indicators: earnings growth, earnings quality, valuations compared to historical norms, the sustainability of capital expenditures, and the interest-rate cycle. As of early 2026, AI-related spending appears strong and is largely funded from earnings rather than debt.

What Are Analysts Watching Next?

Analysts at Evercore ISI warn that large AI capital expenditures by big tech companies could lead to cash-flow negative outcomes, signaling potential red flags for stock valuations. The increasing capex is forcing companies to raise debt and could threaten free cash flow, with Amazon, Alphabet, and Meta projecting massive AI spending. According to the report, Meta is expected to spend $55 billion, Alphabet is doubling its AI capex to $180 billion, and Amazon is increasing its spend by 50% to $200 billion.

Evercore ISI has lowered its price target for MNTN, Inc. to $27 from $33 while maintaining an Outperform rating, citing strong fourth-quarter results driven by its Performance TV platform and AI integration. The firm highlighted revenue growth, customer expansion, and product innovation as key drivers of MNTN's potential.

The volatility is expected to persist until the market gains clarity on AI's long-term impact and profitability. While some experts believe the current concerns may be overblown, the underlying issues around capex sustainability and earnings visibility remain a key focus for investors. The current economic and rate environment suggests that a bubble is unlikely to burst in the near term, but caution is advised as AI investments remain in the early stages of economic development.