Micron and Anthropic struck a deal covering joint design of AI memory and storage architecture, a multi-year supply agreement, enterprise deployment of Claude, and Micron’s strategic Series H investment. They’ll test HBM, DRAM, and SSD subsystems across AI workloads to boost performance, efficiency, and token economics. Micron is already using Claude for coding and manufacturing tasks.

• Micron and Anthropic will co-design AI memory architectures, testing HBM, DRAM, and SSDs against Claude workloads to optimize power, latency, and token economics.
• Micron signed a multi-year supply deal guaranteeing Anthropic HBM, DDR5 DRAM, and NVMe SSDs to match its compute scaling plans.
• Micron is investing in Anthropic's Series H round, tying the companies' financial interests together.
• Micron already uses Claude internally to speed up coding, testing, and manufacturing workflows, with early gains in code iteration speed.

Nvidia Corp. will invest $1 billion over five years to establish a new artificial intelligence laboratory in collaboration with Eli Lilly & Co. The facility, located in Silicon Valley, aims to accelerate the application of AI in the pharmaceutical industry by leveraging Lilly's lab expertise.

• Nvidia will invest $1 billion over five years to build an AI drug discovery lab with Eli Lilly, located in Silicon Valley
• The lab will use Lilly's lab expertise combined with Nvidia's computational tools to predict how compounds interact with biological systems
• The goal is to speed up and cut costs in drug discovery while improving precision in targeting specific diseases
• The deal signals Nvidia's strategic push into healthcare as a growth area beyond its core computing and gaming business

The AI boom is deflating rather than crashing, with distinct market tiers emerging among companies in the sector. While hyperscalers like Microsoft and Amazon remain strong, many startups face existential challenges, and investors should seize opportunities by targeting resilient companies and sectors related to AI infrastructure and automation.

• The AI boom is deflating gradually rather than crashing suddenly, creating distinct winners and losers rather than a uniform collapse
• Hyperscalers like Microsoft and Amazon are positioned to remain strong while many AI startups face existential survival challenges
• Investors should focus on resilient companies tied to AI infrastructure and automation rather than speculative AI plays