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    Business

    Big Tech AI Spending Under Scrutiny as Alphabet and Tesla Detail Capex Surge

    By TopHolding Editorial · Wednesday, July 29, 2026 at 7:02 AM

    Big Tech AI Spending Under Scrutiny as Alphabet and Tesla Detail Capex Surge

    Alphabet and Tesla's latest earnings highlight a trillion-dollar AI spending race that is squeezing cash flows and triggering tech industry layoffs.

    Alphabet and Tesla have set a cautious tone for tech earnings season, as massive increases in capital expenditure for artificial intelligence take priority over immediate profit margins. Alphabet forecast its 2026 spending at between $195 billion and $205 billion, warning of even higher figures in 2027. Despite strong core revenue, the sheer scale of the investment required to build out AI data centers has tested investor patience.

    Tesla, meanwhile, reiterated plans to spend more than $25 billion this year, a 200% year-over-year increase. CEO Elon Musk has pinned the company's future on AI-heavy initiatives like the Optimus humanoid robot and the "Cybercab" autonomous vehicle. However, the 142% surge in quarterly capex has led to concerns about free cash flow, a metric analysts are watching closely as Meta, Microsoft, and Amazon prepare to report their results next week.

    The spending spree has created a sharp divide among credit analysts. Amazon and Meta are currently expected to post negative free cash flow due to their aggressive AI buildouts, while Microsoft remains the only major spender expected to maintain a positive cash flow position. This "arms race" has intensified lobbying efforts in Washington, with OpenAI and Anthropic leading a record surge in federal advocacy spending to help shape the policy landscape for the industry.

    Despite the spending boom, the human cost of the transition is becoming apparent. Major tech firms including Amazon, Oracle, and Microsoft have cut approximately 140,000 jobs over the past year. Analysts suggest these "efficiency drives" are intended to redirect capital toward AI infrastructure, signaling that even the most profitable companies in the world are having to make difficult trade-offs to fund their silicon ambitions.