Google stock (GOOGL); 3M TPU order report prices fell raising supply chain concerns

top level domains;

• Google shares fell after reports of a huge Intel TPU order sparked uncertainty in the AI ​​supply chain.
• The rumored $3 million TPU deal suggests that Google may be diversifying away from reliance on TSMC manufacturing.
• Intel’s foundry ambitions are gaining credibility as it eyes key customers for its 18A and hyperscale production processes.
• Wider demand for AI chips is intensifying competition as companies secure long-term semiconductor supply agreements.

Alphabet, Google’s parent company, saw its shares decline the next Reports indicate that the company may be expanding its AI hardware supply chain in a big way. The market reaction follows a June 8 report indicating that Google has placed an order for more than 3 million tensor processing units (TPUs) with Intel for expected production around 2028.

While this development points to the expansion of AI infrastructure in the long term, investors are cautious about the implications for existing supply chain partners and production stability.

The announced agreement comes after months of testing Intel’s advanced chip manufacturing capabilities, and if confirmed, would represent one of the largest known TPU-related purchase commitments in the company’s AI hardware roadmap.

Shifting beyond TSMC dependency

One major implication of the reported order is Google’s potential move to diversify away from Taiwan Semiconductor Manufacturing Company (TSMC), which currently manufactures and packages its own in-house AI chips, including the Ironwood TPU line.

Alphabet Inc., Google

TSMC has long been the dominant manufacturing partner for advanced semiconductor production, but capacity constraints, especially in advanced packaging, are increasingly becoming a bottleneck across the industry. An earlier disclosure from TSMC highlighted that its wafer-on-wafer-on-substrate (CoWoS) packaging lines can only meet about 80% of customer demand, underscoring structural supply pressure in advanced AI chip production.

If Google continues to outsource Intel extensively, it will signal a strategic shift aimed at reducing reliance on a single supplier in one of the most critical layers of its AI infrastructure.

Intel Foundry is gaining momentum

For Intel, the reported deal represents a major confirmation of its expanding foundry ambitions. The company restructured its manufacturing business in 2024 to compete directly with leading chipmakers and positioning Intel Foundry As a key pillar of its long-term transformation strategy.

The information, citing two unnamed sources, reported that Alphabet Inc.’s Google subsidiary. It recently placed an order with Intel Corp to manufacture more than 3 million of its specialized AI chips in 2028. https://t.co/SO9DwhePRJ

– Bloomberg (@business) June 8, 2026

Intel’s upcoming 18A processing node is expected to play a key role in this transition, with the company stating that it has already entered risk production and is targeting mass manufacturing later in 2025. The ability to attract a hyperscaler like Google will bolster confidence in Intel’s roadmap and its goal of achieving long-term margin expansion in its foundry segment.

Analysts note that securing large AI-related orders could help Intel close the gap with more established competitors in advanced semiconductor manufacturing.

The AI ​​chip race is heating up globally

behind Google And Intel, the broader semiconductor ecosystem is also reacting to the growing demand for AI computing power. The report indicated that Nvidia is evaluating Intel’s manufacturing technology for potential next-generation processors that can integrate multiple graphics chips into a single integrated unit.

This suggests that Intel’s technology may become a shared platform among many AI leaders, rather than a single company’s solution. The move also highlights the increasing complexity of AI hardware design, as performance measurement increasingly relies on advanced packaging and multi-chip integration rather than single die optimizations.

As competition intensifies, chipmakers are racing to secure production capacity years in advance, reflecting how demand for artificial intelligence is reshaping global semiconductor supply chains. Currently, the market appears to be balancing optimism about the expansion of artificial intelligence with caution about the risks of supply chain reorganization.