Marvell

Chip Stocks Rally After Microsoft and Lam Earnings

Semiconductor stocks surged July 30, 2026, after strong earnings and guidance from Lam Research and robust results from Microsoft that signaled increased Azure growth and higher capital spending. Lam Research jumped about 20%, while memory names such as Micron and Sandisk rallied following a Samsung warning that a memory supply crunch could last into 2028. Arm Holdings also rose on demand for its first in-house chip, and broad-sector ETFs and suppliers (Applied Materials, AMD, Intel, Marvell, Nvidia) gained as investors reacted to AI-driven data center and infrastructure demand.

Corning Falls 16% After Q2 Earnings, Optical Stocks Drop

Corning shares plunged about 16% after the company reported second-quarter results that beat EPS and revenue estimates but issued revenue guidance below Street consensus. Corning reported EPS of $0.78 (vs. $0.76 estimate) and revenue of $4.74 billion (vs. $4.61 billion estimate), while forecasting core revenue growth of about 16% with a range of $4.9 billion to $5.0 billion — below FactSet consensus of $5.0 billion. The sell-off in Corning weighed on other optical-component stocks including Marvell, Lumentum, AXT and Coherent, which fell double digits. The story notes Corning’s growing role in AI data center networking and a recent multi-year deal with Amazon to connect data centers.

Agentic CPU Turn Reshapes AI Compute Mix

The article argues that a shift toward agentic AI workloads is creating renewed demand for CPUs inside AI data centers, changing the compute "shape" of the next AI cycle. Citing comments from TSMC's Wei and recent product programs, the piece highlights that major vendors (NVIDIA, AWS, AMD, Google, Microsoft, Arm, Meta) have committed Arm- and custom-CPU designs (e.g., Vera, Graviton5, EPYC Venice, Axion, Cobalt, Arm AGI) that are being manufactured at TSMC. This composition change means more orchestration, state management, and memory-heavy CPU work alongside GPUs, producing fleet-mix and economics consequences for hyperscalers and platform bundling strategies. The author recommends tracking rack CPU:GPU ratios, hyperscaler CPU announcements, independent Arm vendor outcomes, RISC-V hyperscaler designs, and margin reporting for vertically integrated stacks.