Overview
- Meta released Muse Spark 1.1 on July 9, a multimodal, agentic model positioned for paid access and developer use as the company doubles down on a $125 billion–$145 billion 2026 capex plan.
- Alphabet shifted its funding strategy in early June by announcing roughly $84.75 billion in equity financing and raising 2026 capex guidance toward $180 billion–$190 billion to expand data centers and custom chips.
- Analysts now estimate U.S. hyperscalers will spend roughly $750 billion to $805 billion on AI infrastructure this year, a jump that is reshaping data‑center designs and stressing supply of high‑bandwidth memory.
- Pick‑and‑shovel suppliers such as Micron, NVIDIA and TSMC are reporting outsized revenue gains from the rush for chips and memory, with Micron citing triple‑digit sales growth tied to AI demand.
- Major investors and research desks are projecting multi‑trillion AI spending over coming years but warn that power, financing and monetization hurdles could make returns uncertain and keep stock volatility high.