Disclaimer: This is not financial or investment advice.

Why Google, Broadcom, Alibaba stocks are up while Nvidia and AMD are down!

Here is the answer – initial read is that Gemini 3 is reportedly faster and performs with deeper reasoning than ChatGPT and is integrated with Google’s family of apps and data. It is also priced at similar levels to rival AI models. But more importantly the fact that Gemini was trained primarily on Google’s TPUs ( Broadcom is TPU’s partner ) as opposed to its rivals’ reliance on Nvidia and AMD chips, is a critical data point. TPUs aren’t as flexible as Nvidia’s GPUs, which can make them less usable in a market where hyperscalers are demanding the ability to reprogram their AI systems.

But TPUs are both cheaper to develop and use less power to run at full capacity. Similar story holds for Alibaba’ Qwen AI model (using their custom less expensive chips). And that fact is spooking the market in favor of pushing $GOOGL $AVGO $BABA and against $NVDA $AMD.

“Some investors are petrified that Alphabet will win the AI war due to huge improvements in its Gemini model and ongoing benefits from its custom TPU chip,” said Ben Reitzes, tech strategist at Melius Research.

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AI infrastructure investment is booming, and stellar earnings from two leading companies confirm this trend.

Teradyne $TER

The company makes testing equipment for semiconductors and robotics.

They just beat Q3 revenue with $769.2 million against the expectations of $743.8 million. It now expects growth to pick up from here to 27%, citing AI-related test demand and its impact across its compute, networking and memory segments. It expects revenue for current quarter of between $920 and $1 billion, ahead of the $815.3 million analysts expected.

Celestica $CLS

The company makes connectivity and cloud solutions. The company boosted its outlook and reported a gain in Q3 revenue and profit driven by growing demand for artificial intelligence hyperscalers. The electronics manufacturing services company now expects Q4 revenue of $3.33 billion to $3.58 billion, with adjusted EPS between $1.65 and $1.81. Analysts were expecting revenue of $3.08 billion and adjusted EPS of $1.51.

CFO Mandeep Chawla on an earnings call credited the rise in Celestica’s outlook to the ramping up of a next-generation program for hyperscaler application in AI and machine learning computing power, which is the hardware resources used to train, run, and scale the software. Celestica is seeing its largest and fastest-growing market presence within AI data centers, where it supports high-performance networking and customer computing platforms.

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