Meta to Deploy Homegrown Chips, Uber to Offer Zoox Rides | Bloomberg Tech 3/11/2026
Why It Matters
Meta’s chip strategy could reshape AI hardware economics, while Oracle’s earnings validate ongoing AI spending and Uber’s Zoox launch accelerates autonomous mobility adoption, all influencing investor outlooks across tech sectors.
Key Takeaways
- •Meta will ship four new in‑house AI chip generations by 2027.
- •Oracle posted $90 billion revenue, $50 billion capex, easing AI‑risk concerns.
- •Uber launches Zoox robotaxi rides, sparking immediate stock uptick.
- •Meta’s chip acquisitions added 400 engineers, accelerating parallel development.
- •Goldman Sachs expects 10% earnings growth driven by sustained AI demand.
Summary
Bloomberg Tech highlighted three headline stories on March 11: Meta’s aggressive rollout of home‑grown AI silicon, Oracle’s robust earnings that underscore continued AI spending, and Uber’s debut of Zoox robotaxi rides. Meta’s Fremont lab showcased its MTIA‑300 chip already in production and previewed the next‑gen MTIA‑450, part of a four‑generation roadmap extending to 2027. The company bolstered its talent pool with a recent acquisition that added roughly 400 engineers, enabling parallel development of multiple chip families while still sourcing GPUs from Nvidia and AMD.
Oracle reported fiscal‑year revenue of $90 billion and a $50 billion capital‑expenditure plan, with 90% of AI‑related deliveries on schedule. Executives emphasized that the backlog remains strong, driven by large customers such as OpenAI, and that the company’s data‑center expansion is proceeding without major delays. Goldman Sachs analyst Matthew Weir linked the earnings beat to persistent AI‑capex demand, projecting roughly 10% earnings growth this year and a modest 7% total S&P 500 return.
Uber’s announcement that Zoox‑powered autonomous rides are now available sent the stock higher in after‑hours trading. The move expands Uber’s mobility portfolio beyond traditional rideshare, positioning it against rivals like Waymo and Cruise. Riley Griffin, Meta’s chip lead, described the strategy as “more is more,” emphasizing diversification of compute sources to meet insatiable AI workloads.
The combined narratives signal a maturing AI ecosystem: Meta’s silicon push aims to lower long‑term GPU costs and improve margin leverage; Oracle’s earnings reassure investors that AI‑driven capex remains on track; and Uber’s robotaxi rollout illustrates the rapid commercialization of autonomous technology. Together, they suggest that hardware, software, and services are converging to sustain the AI investment wave through the next several years.
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