Zillow Group

Micron's $50B Boise Expansion Reshapes Hometown

Micron is undertaking a roughly $50 billion expansion in Boise that includes two new chip fabrication facilities expected to create more than 17,000 new jobs in the area (about 3,500 at Micron). The buildout—driven by surging AI demand for DRAM and high-bandwidth memory (HBM)—has lifted Micron’s stock dramatically, created substantial local wealth, and is reshaping Boise’s housing market, traffic and services. Micron says the first Boise fab will come online in 2027 and the company aims to produce 40% of its DRAM in the U.S., planning to spend $250 billion through 2035 and use up to $6.2 billion in CHIPS Act funds. The expansion has spurred supplier activity (e.g., Lam Research, Exyte) and nearby AI infrastructure investment such as Meta’s $800 million Kuna data center.

Investor Presentation Released: Zillow Group

AI parsed presentation narrative: Management highlights that the housing affordability crisis, driven by a shortage of 4.7 million homes, has extended the national timeline to save and break even on a home purchase to nearly 15 years. Zillow advocates for increased housing density and provides digital tools to help buyers navigate this landscape, noting that targeting starter homes can reduce the financial timeline by roughly half. Key tailwinds mentioned: Starter Home Demand, Financing Innovation.

Frontier Model Costs Drive Demand for Model Routing

Rising costs of frontier LLMs and the growing power of open-weight models have made model routing a critical part of enterprise AI deployments. Glean, an enterprise AI company led by ex-Google engineer Arvind Jain, uses a three-tier routing approach (explicit selection, admin controls, automatic routing) to reduce costs and reserve advanced models for tasks that need them. Glean reports rapid commercial traction — a $7.2B valuation after a $150M Series F and $300M ARR — and says its Waldo agentic search model reduces latency by 50% and token usage by 25%. Enterprises are increasingly considering open-weight models and multi-provider strategies to control AI spend, while Glean uses real-world feedback and internal evals to continuously improve routing decisions.