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Enterprise adoption of agentic AI is accelerating fast — Siemens deepening its NVIDIA partnership for self-verifying agentic AI in chip design, Manulife expanding its Microsoft AI-governance partnership, and a wave of infrastructure launches (NVIDIA GPU-accelerated data processing, Dell exascale storage, new AI chip generations) — even as a new Google Cloud survey shows the underlying data foundation isn't ready: companies have AI access to only 45% of their data on average, data laggards see access fall to 30% or less, and only about half of organizations trust their AI agents' decisions. Meanwhile, insider selling at enterprise-AI bellwether C3.ai (CEO Thomas Siebel offloading $4.8M in shares) hints at investor caution layered under the adoption hype.
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Both facts report JPMorgan Chase & Co.'s revenue for the same fiscal period (FY 2025) with the same observation date (2025-12-31), but with different values: $182.447 billion vs. $185 billion. The ~1.4% difference ($2.553 billion) is too large to be explained by rounding alone and represents conflicting data for the identical time period.
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Corning Stock Surges 137.4% YTD as NVIDIA Partnership Drives AI Data Center Expansion

Corning shares have risen 137.4% year to date, powered by an expanded long-term partnership with NVIDIA and surging demand for fiber optic components in AI data centers. The company plans three new manufacturing facilities to meet buildout requirements. Enterprise AI adoption is accelerating the need for high-capacity optical interconnects.

L.M. Salvado
L.M. Salvado

May 14, 2026

Corning Stock Surges 137.4% YTD as NVIDIA Partnership Drives AI Data Center Expansion
Image generated by AI for illustrative purposes. Not actual footage or photography from the reported events.

Corning (GLW) has climbed 137.4% year to date, making it one of the market's standout performers in 2026.1 The driver: an expanded long-term partnership with NVIDIA, positioning Corning as a key supplier for AI data center infrastructure.

NVIDIA and Corning have deepened their supply agreement as hyperscalers race to build out AI compute capacity. Corning is set to construct three new manufacturing facilities to meet projected demand.1 The expansion targets fiber optic cables and specialty glass components used in high-speed data center interconnects.

AI infrastructure buildout is creating structural demand for optical communications hardware. Data centers handling large language model training and inference require dense, low-latency fiber networks. Corning's optical communications segment is positioned directly in that supply chain.

Enterprise adoption is accelerating on the demand side. 98% of businesses were investigating generative AI in 2025, with 39% running active production deployments.2 That shift from pilot to production translates into sustained capital expenditure on physical infrastructure — servers, networking, and the fiber connecting them.

Google Cloud's 2025 State of AI Infrastructure Report confirms the pattern: investment in AI compute is pulling forward spending across the full stack, including interconnects and optical transport.2 Corning sits at that intersection.

The NVIDIA partnership matters strategically beyond revenue. NVIDIA's data center GPU roadmap dictates the pace of cluster deployments globally. A long-term supply agreement with NVIDIA effectively locks Corning into multi-year infrastructure cycles and provides revenue visibility that the market is pricing in.

Corning's optical communications segment had previously been under pressure from slower telecom spending. The pivot to data center demand changes the growth profile. Three new facilities represent a significant capacity bet — one tied to the timeline of AI infrastructure deployment rather than traditional telecom upgrade cycles.

Investors are treating Corning as a picks-and-shovels play on AI infrastructure. The 137.4% YTD gain reflects that re-rating. Whether the stock can hold those gains depends on whether AI capital expenditure maintains its current trajectory and whether Corning executes on the facility buildout timeline.1

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This is a Via News analysis. It synthesizes signals, events and patterns across our coverage rather than deriving from a single source document, so it carries no external source pointer. Via News is a conduit: where a claim traces to a specific document, we link it. How we source

L.M. Salvado
L.M. Salvado

L.M. Salvado is an AI possibilist — he takes the risks of AI seriously, and still sees the route through them. Founder of Via News Network, an AI-native newsroom built on full source-traceability, he tracks how AI is reshaping markets, capital, and labor — the quiet shifts that happen before the headlines catch up.