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For nearly two years, Wall Street rewarded Big Tech companies for announcing larger artificial intelligence budgets.
That relationship may be changing.
In this GAR Capital Market Intelligence Report, we examine why investors are beginning to care less about how much companies spend on AI and more about whether those investments can generate acceptable returns.
Alphabet raised its expected 2026 capital expenditure to as much as $205 billion, but the stock fell as investors focused on negative free cash flow, weaker operating cash generation, the disappearance of share buybacks, and the growing cost of building AI infrastructure.
Tesla faced a similar reaction as the market looked beyond autonomy and robotics promises and focused on margins, cash flow, and another year of heavy investment.
Together, the declines helped erase approximately $787 billion from the Magnificent Seven and pushed the Nasdaq into its worst session since April 2025.
We explain why hyperscalers may increasingly be valued less like software companies and more like capital-intensive utilities, how 2027 spending expectations are moving into the hundreds of billions of dollars, and why purchase commitments, partner financing, custom silicon, and off-balance-sheet obligations matter as much as reported capital expenditure.
The episode also examines Meta as a critical test of direct AI monetization through subscriptions, business agents, compute leasing, and hosted model access.
We discuss reports of Anthropic potentially leasing approximately $10 billion of compute from Meta and Google exploring third-party capacity, illustrating the emergence of a new market for AI infrastructure.
We also explore IBM’s historic decline and the capital-allocation trap facing technology companies.
Spend aggressively and investors fear cash burn.
Spend cautiously and investors fear the company is falling behind.
Finally, we explain why Nvidia remains the center of gravity for the entire AI investment cycle, how light hedge fund positioning could create an upside chase after strong earnings, and why slower long-only and passive selling remains an important risk.
The AI revolution may continue.
The market is simply demanding a new form of proof.
Not larger budgets.
Durable profits.
