Intel jumps 12% after Hitachi pact, as investors eye Google and Nvidia interest in Intel Foundry

Intel’s stock rose about 12% in early trading Monday, climbing to roughly $111 per share, as investors weighed two separate indicates that both point to the semiconductor industry’s next bottleneck: getting enough computing capacity and advanced packaging to keep AI systems scaling. The immediate catalyst was a June 5 announcement of a strategic collaboration with Japan’s Hitachi, while additional optimism came from reports circulating that hyperscalers and AI hardware companies are looking at Intel’s foundry capabilities as a potential alternative supply path.

Hitachi and Intel said their collaboration is meant to accelerate “physical AI,” advanced computing and next-generation digital infrastructure across manufacturing, energy, mobility and other industrial segments. The companies plan to combine Hitachi’s information technology, operational technology and manufacturing knowledge with Intel’s computing capabilities and “silicon-based platforms” to develop compute capabilities and industry solutions intended to modernize operations and improve efficiency. They also said they will work through five strategic pillars: foundry tools, quantum computing, energy optimization, custom silicon and edge-AI applications, and factory automation.

In the foundry tools pillar, Hitachi said it will use physical AI on data from metrology systems and related semiconductor manufacturing equipment, including its ExTOPE integrated platform, with the goal of enabling predictive diagnostics and maintenance that could improve yield and quality while shortening time to market. On quantum, the companies said the partnership will strengthen joint R&D co-development between their teams. For energy optimization, Hitachi said its HMAX Energy will be deployed within Intel’s fabs to provide managed services for core power equipment, while Intel plans to supply high-voltage silicon chips to support Hitachi’s power systems.

The collaboration also leans into “edge AI” and factory automation, areas where physical AI is meant to connect computer models to real-world sensors, robotics and operational workflows. The companies framed the effort as an industrial-scale play, not just a technology demonstration, positioning the combination of Hitachi’s OT capabilities and Intel’s silicon and computing expertise as a way to accelerate deployment of intelligent systems in mission-critical infrastructure.

For Intel, the broader backdrop is that its foundry business is built to compete for external manufacturing and packaging demand. Intel describes Intel Foundry as a “systems foundry” approach that spans IP and EDA tools, process nodes, and advanced packaging plus Intel Foundry Advanced System Assembly & Test (ASAT). In its materials, Intel points to advanced packaging and integration technologies such as EMIB (Embedded Multi-Die Interconnect Bridge) and Foveros for higher-density multi-chip designs, an important issue for AI hardware builders that rely on assembling accelerators from multiple chiplets.

Alphabet, meanwhile, is publicly indicating just how aggressively it plans to expand AI infrastructure. In its June investor materials and an equity-capital-raise announcement, Alphabet laid out plans to scale AI compute capacity, including expectations for 2026 capex in a $180 billion to $190 billion range, and described unprecedented demand for AI compute that exceeds available supply. Alphabet also said it is expanding beyond hosted cloud infrastructure to deliver TPUs directly to select enterprise customers. That kind of demand tends to ripple through the supply chain, increasing pressure on CPUs, accelerators, and especially the advanced packaging capacity needed to assemble high-performance systems.

The “Google-Nvidia foundry buzz” that helped lift Intel’s tape Monday appears to reflect the industry’s ongoing search for more supply options. In April, industry reports said Intel was in discussions with Google and Amazon about advanced AI chip packaging services, citing multiple sources. Separate reporting later framed the interest as part of a diversification strategy that could reduce dependence on a single dominant supplier of advanced packaging capacity. None of the reporting amounts to a confirmed, binding foundry order, but investors often interpret these conversations as leading indicators for future external foundry revenue.

Still, several key details remain unclear. Hitachi and Intel did not disclose financial terms, customer commitments, or specific production timelines for the collaboration, and the reports tying Google and Nvidia to Intel Foundry were not accompanied by named contracts in the coverage. That leaves investors balancing the potential upside of broader foundry adoption against the reality that advanced packaging and process qualification cycles can stretch across quarters or even years.

Next, market participants are likely to watch whether Intel provides more specifics on how the Hitachi partnership will translate into commercial work or measurable operational impact, particularly around foundry tooling, energy services inside fabs, and any custom silicon or edge-AI deployments. They will also watch for clearer indications at earnings and investor events about external foundry and packaging traction, and whether Alphabet’s compute expansion continues to increase demand for alternate chipmaking and packaging supply paths.