---
title: "Google AI Chain: A new main line comparable to the \"Apple Chain\" of yesteryear! Buffett's \"Curtain Call\" bet on Google is replicating the \"Apple Super Bull Market\""
type: "News"
locale: "zh-HK"
url: "https://longbridge.com/zh-HK/news/267337475.md"
description: "Google, with its AI large models, Gemini 3 AI application ecosystem, TPU AI computing power system, Google Cloud, and YouTube, is becoming the biggest winner in the global AI super boom. Gemini 3 is hailed as the most powerful multimodal large model, attracting the attention of large enterprises and individual users. Companies like Meta and Salesforce plan to use Google's AI technology to further promote the hot development of Google's AI ecosystem"
datetime: "2025-11-25T14:46:40.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/267337475.md)
  - [en](https://longbridge.com/en/news/267337475.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/267337475.md)
---

> 支持的語言: [简体中文](https://longbridge.com/zh-CN/news/267337475.md) | [English](https://longbridge.com/en/news/267337475.md)


# Google AI Chain: A new main line comparable to the "Apple Chain" of yesteryear! Buffett's "Curtain Call" bet on Google is replicating the "Apple Super Bull Market"

With the AI large model in hand, the globally shocking Gemini 3 AI application ecosystem, the unique TPU AI computing power system, Google Cloud, which ranks among the top three in global cloud computing market share, and cutting-edge ecosystems like YouTube's "AI + advertising marketing," even the tech giant with quantum chips—Google—seems to have a strong momentum to become the "biggest winner of the global AI super wave." Many financial influencers and senior AI engineers have praised Google, which possesses a complete AI ecosystem with application software and its own high-efficiency computing power, as having all the characteristics to "monopolize the AI era."

After the Gemini 3 "explosion" last week, it has become a global sensation. Both B-end large enterprises and C-end individual users have exclaimed that this is "the most powerful multimodal large model in human society to date." Coupled with the recently announced Nano Banana Pro (belonging to the Gemini 3 ecosystem), which is hailed as a "divine drawing tool," it is expected to exponentially revolutionize enterprise operational efficiency and C-end user software collaboration efficiency. **Even some senior engineer users have remarked that Gemini 3 possesses all the elements to become an ASI or AGI, a type of "artificial intelligence system that fully surpasses humans." Whether it is the JARVIS personal assistant from "Iron Man" or the Skynet system from the "Terminator" series, Gemini 3's capabilities are comparable, if not superior, to them.**

In addition, insiders have revealed that Meta, the parent company of Facebook, is considering spending billions of dollars in 2027 to purchase Google's TPU AI computing power infrastructure, **including for the construction of Meta's enormous AI data centers.** Recently, Salesforce CEO Marc Benioff stated that the company would abandon the OpenAI large model, **instead opting for Google's newly released AI large model, Gemini 3. With these latest developments, along with the recent news that Anthropic, known as an "OpenAI rival," plans to spend billions of dollars to acquire 1 million TPU chips, the so-called "Google AI ecosystem" is becoming increasingly heated, with nearly all participants in the ecosystem seeing their stock prices soar dramatically.**

Gemini 3 has shocked the world, and **with "stock god" Warren Buffett's "last dance" building a position in Google's parent company Alphabet, which now ranks among Berkshire's top ten holdings,** not only has the stock price of this Google parent company entered a skyrocketing curve, repeatedly hitting historical highs—having risen over 10% since November—but its market value is also approaching the super threshold of $4 trillion. Key participants in Google's AI ecosystem, such as Broadcom, TSMC, and MongoDB, have all entered a wild surge mode, with their stock prices reaching new highs.

Since mid-October, Alphabet's stock price has surged by 35%, adding nearly $1 trillion to its market value, leaving it about $600 billion short of NVIDIA's $4.4 trillion market value.

![1764069327(1).png](https://imageproxy.pbkrs.com/https://img.zhitongcaijing.com/image/20251125/1764069339645336.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg)**The "Oracle of Omaha," who has been navigating global markets and financial markets for decades and is now 95 years old, will officially step down as CEO of Berkshire Hathaway at the end of 2025. Therefore, the latest 13F stock holdings of Berkshire Hathaway, led by Buffett, resemble a transition phase in his legendary investment career, gradually passing the "core chips of the tech era" from Apple's consumer electronics ecosystem to the "Google AI ecosystem."**

In 2016, Buffett made what seemed like a late investment in consumer electronics, witnessing and amplifying Apple's "super bull market trajectory" for several years to global investors. In the unprecedented AI wave dominating 2025, while continuously reducing his stake in Apple stocks, **he quietly pushed billions of dollars towards Google's parent company Alphabet—this tech giant is building the "Google AI ecosystem," a super AI hub sweeping global stock market investors, with its unique Gemini AI ecosystem, cloud computing services, and self-developed TPU AI computing chips.**

Is the latest move by the "Oracle" merely a risk-diversifying asset allocation, or the beginning of another Apple-like long bull market? Clearly, the market is betting real money on the latter, and the financial brilliance of the Google AI ecosystem rivals that of the "Apple-dominated Apple consumer electronics supply chain" from years past. The influx of global funds into the Google AI ecosystem may even outshine the "fruit chain" brilliance following Buffett's massive investment in Apple's consumer electronics ecosystem in 2016.

Undoubtedly, **with the shocking debut of Google Gemini 3 and the explosive growth performance driven by Nvidia, global investors are once again feeling the tremendous shock brought by the "AI faith" of investment funds after several months, driving semiconductor and global AI application software sector stock prices to surge.** The last time such a scale of AI shock was felt was when Nvidia's total market value surpassed $4 trillion in July—becoming the first publicly traded company to exceed a $4 trillion market cap.

The continuously surging demand for AI computing power globally, coupled with the increasingly massive AI infrastructure investment projects led by the U.S. government, and the tech giants' ongoing massive investments in building large data centers, largely indicates that for long-term investors fond of the AI computing power industry, the sweeping "AI faith" is far from over in its "super catalysis" of stock prices for leading computing power companies. They bet that the stock prices of Nvidia, Google, TSMC, and Broadcom, which dominate the AI computing power industry, will continue to unfold a "bull market curve."

## Google AI is on fire! First, Gemini 3 shocks the world, then the divine Nano takes the stage

After launching Gemini 2.5 nearly eight months ago, Google announced the release of the upgraded AI model Gemini 3 last Tuesday local time, accelerating product updates and iterations in the fierce competition with ChatGPT developer OpenAI. On the first day of its release, it was immediately launched across multiple AI developer platforms, including Google Search, the Gemini AI application ecosystem, and Google Cloud Platform, for use in several profitable products under GoogleThe Google Nano Banana Pro, launched late last week as part of the Gemini 3 AI application ecosystem, demonstrates strong visual generation and logical understanding capabilities. This image generation and editing model can instantly transform obscure papers, code, and financial reports into logically clear blackboards or Excel charts, achieving extreme "data compression." It also possesses a knowledge reserve and corresponding deep analytical capabilities comparable to those of research professors in fields such as physics, biology, and industry. With precise text rendering and high consistency/coherence in character portrayal, it is even regarded by some users as a visual-level AGI and the strongest productivity tool.

**The latest series of AI products based on Gemini 3 released by Google has brought an enormous AI token processing volume upon launch, further validating Wall Street's claim that the "AI boom is still in the early construction stage of insufficient computing power infrastructure." Coupled with the fact that "investment guru" Warren Buffett has placed Google among Berkshire's top ten holdings, Google has recently reinforced the "AI bull market narrative," strongly refuting some investors' anxieties that the "AI bubble moment" has arrived.**

Google stated that the newly launched Gemini 3 AI large model is in an absolute leading position on multiple popular industry rankings measuring AI model performance, and it has set new records in the industry across various dimensions, including mathematics, multimodal understanding, and factual accuracy.

Gemini 3 topped the global AI model LMArena ranking with a historic high score of 1501, achieving the highest score of 37.5% in the Humanity's Last Exam benchmark test, surpassing the previous record of 31.64% held by GPT-5 Pro. **Moreover, it has demonstrated doctoral-level performance in several academic benchmark tests, scoring 91.9% in the GPQA Diamond test, setting a new record of 23.4% in the MathArena Apex benchmark test, and achieving a score of 72.1% in the SimpleQA Verified test for factual accuracy, all significantly surpassing GPT-5.1.**

![1763514726(1).png](https://imageproxy.pbkrs.com/https://img.zhitongcaijing.com/image/20251119/1763514731961279.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg)

Nano Banana Pro claims to provide "studio-level" precision and control, achieving significant improvements in text rendering accuracy, resolution, and professional control capabilities, aiming to elevate AI "text-to-image" tools from consumer-level applications to major professional design fields worldwide. **Nano Banana Pro directly tackles the AI spelling challenge, marking a significant breakthrough in text rendering. A Google spokesperson stated that the new model can better plan the text position, font characteristics, and their spatial relationships with other image elements before rendering the final image.**This technology can convert a recipe text into an incredibly detailed flowchart or accurately "one-click visualize" the global chip industry chain, aerospace industry chain, and other extremely professional and complex pure text information.\*\*

## If you missed the super bull market trajectory of Apple stock that started in 2016, don't miss Google

Google has built an "AI super moat" based on its full-stack advantages in AI, **linked** **to the actual efficiency of AI capital expenditure and the monetization/revenue paths of AI, which have a significant leading advantage and clearer paths compared to Facebook's parent company Meta, Microsoft, and Amazon.**

**A comprehensive layout of chips (TPU) - high-performance network infrastructure (OCS) - models (Gemini) - AI application ecosystem (cloud computing/search engines/AI + advertising marketing/sovereign AI, etc.), especially Google's self-developed TPU chip's "energy efficiency" and "cost performance" have achieved leapfrog development compared to pure NVIDIA AI GPU computing clusters, coupled with the globally leading capabilities of the Gemini series models, global funds are flocking in** to place immense importance on the high growth of Google's AI computing demand and the significant investment opportunities brought by the expansion of TPU computing clusters in Google's AI ecosystem.

As Google CEO Sundar Pichai mentioned in a recent interview: Google has a unique operating model of "full-stack AI" that covers everything from self-developed AI chips to YouTube data, models, and cutting-edge science, which means the company is in an excellent position in the AI wave and is more capable of dealing with any nature of turbulence in the AI market, including the "bursting of the AI bubble."

In 2016, under the leadership of Warren Buffett, Berkshire Hathaway made its first investment in Apple of about $1 billion amid widespread market skepticism that "Apple has peaked." Subsequently, between 2016 and 2018, it significantly increased its holdings multiple times, investing a total of about $35-40 billion. This bet ultimately accompanied Apple's stock price soaring to double, recognized as one of Buffett's most successful technology stock cases in his investment career. At the same time, the "Apple supply chain" surrounding the rise of the iPhone and the Apple ecosystem has also become one of the most important investment themes in the global capital market over the past decade.

**Today, a similar "bull market narrative" is being replayed with Google, but the main battlefield has shifted from smartphones to the computing power and AI application ecosystem of the AI era.** On one hand, Google's parent company Alphabet has formed an integrated "Google AI ecosystem" from underlying computing power to upper-level models and applications through its self-developed TPU and AI data centers equipped with TPU, as well as Google Cloud + Gemini 3; on the other hand, while Berkshire is gradually reducing its holdings in Apple, it has made a significant initial investment in Google's parent company Alphabet, quietly shifting billions of dollars from the previous generation hardware-centric "Apple supply chain" to the new ecological hub centered on AI.

**If Apple's representation in 2016 was the core asset and industry chain of the mobile internet era, then Google's representation in 2025 is becoming the key anchor point of the "computing power + model + application" full-stack AI application ecosystem as human society enters the AI era.**\*\* If you missed the starting point of Apple's bull market back then, you should not easily overlook the new investment theme of the "Google AI ecosystem" now.

On Wall Street, top analysts have been exceptionally bullish on Google's parent company Alphabet this year. BNP Paribas recently initiated coverage of Google for the first time, giving it an "outperform" rating and a target price of $355. Since the beginning of 2025, Google's stock price has surged by 68%, significantly outperforming the S&P 500 and Nasdaq 100 indices. As of Monday's market close, Google's stock price was around $318, with a total market capitalization of $3.84 trillion. On Tuesday, it briefly reached $331.8 in pre-market trading.

BNP Paribas analyst Nick Jones wrote in a report to clients: "We see Google as a big winner in the AI/cloud computing space, dominating the search field, possessing the leading video advertising platform YouTube, and continuously expanding its cloud computing business through Google Cloud." **"After experiencing regulatory shadows, intensified competition in search and advertising, and market sell-off pressures due to long-term uncertainty in AI positioning, Google's stock price has begun to recover. As the company continues to demonstrate its strong AI capabilities, we believe there is still room for further expansion in valuation multiples."**

Ben Razes, a senior analyst at Melius, pointed out that **Google has made a strong comeback in the field of artificial intelligence, with its latest upgraded Gemini AI model and self-developed TPU causing some investors to "fear that Alphabet will win the AI war ahead of schedule."** Razes stated that Google's ability to pose a threat to many AI leaders lies in its "being the most vertically integrated AI hyperscaler," specifically mentioning the company's TPU computing clusters and customized network architecture. "Only the Google team truly has the capability to internalize more AI chip designs and drive the application of custom switches."

## United We Rise! The Google AI Ecosystem Has Completely Emerged

In this updated iteration of the Gemini 3 ecosystem, Google's full-stack capability has been further validated—using its own TPU for training on core computing hardware, without being constrained by Nvidia's AI GPU computing clusters like Meta and Microsoft; the training data includes not only vast amounts of data from the public internet but also exclusive user data brought by Google's extensive application product ecosystem; and the capabilities of Gemini 3 will also be integrated into Google's highly profitable flagship products.

**The rising "Google AI ecosystem" may completely reshape the AI computing landscape that has long been dominated by Nvidia, the "AI chip leader." Among them, Google's long-time "Google ecosystem participants"—the upstream TPU chip design leader Broadcom, the hybrid cloud/local AI infrastructure and channel partner Dell, and the important ISV member MongoDB of the downstream Google Cloud Platform's application/data ecosystem—have all seen their stock prices surge recently.**In the "Google AI ecosystem," **Google's self-developed computing power (TPU/Axion) and cloud computing platform (Google Cloud + Vertex AI + Gemini 3) serve as the core, connecting upstream to infrastructure suppliers such as chips/servers/networks/power systems, and downstream to a complete value chain of cloud computing databases, enterprise AI development tools, enterprise SaaS platforms, and terminal application systems.**

In the so-called "Google AI ecosystem," Broadcom is the most core participant upstream, where participants are primarily concentrated in the AI computing power and infrastructure layer. **In addition to Broadcom, it includes ARM Holdings, the owner of the ARM instruction set architecture, AI server leaders Dell and Hon Hai, the "king of chip foundries" TSMC which manufactures ARM CPUs and TPUs, the monopolistic force in AI GPUs NVIDIA, as well as various power system suppliers or nuclear power system suppliers; downstream core participants are concentrated in cloud data platforms such as MongoDB, Snowflake, Databricks, and various ISVs/integrators (for example, jointly building vertical solutions on Google Vertex AI).**

Currently, Gemini has over 650 million monthly active users, and the total number of tokens processed monthly has increased more than 20 times within a year. Google's entire AI ecosystem can be said to thrive alongside the explosive growth in AI computing power demand and the surge in AI application software penetration based on the Google platform.

Google's Q3 2025 earnings report shows a significant increase in capital expenditures for 2025 to $91-93 billion, intensifying investments in AI-related infrastructure, with further increases expected in 2026. More importantly, Google Cloud's revenue surged 34% year-on-year to $15.2 billion, with the demand for cloud AI computing power infrastructure and generative AI solutions being the core growth driver. Additionally, the amount of tokens processed by Google increased from 98 trillion in July to over 130 trillion, growing more than 20 times within a year, highlighting that while Google is making strong AI expenditures, the monetization trajectory of AI is also remarkably strong.

![1764068532(1).png](https://imageproxy.pbkrs.com/https://img.zhitongcaijing.com/image/20251125/1764068549882808.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg)

The Q3 earnings report also shows that Google Cloud's computing order backlog, including cloud AI training/inference computing orders, surged 46% quarter-on-quarter, rising to $155 billion, indicating that there are a large number of certain cloud computing and AI computing projects to be implemented in the coming years, requiring a larger scale of AI data center capacity globally for comprehensive digestion.

**Wall Street analysts are currently collectively focusing on the "Google TPU AI computing cluster," which is expected to occupy 30-40% of the AI computing infrastructure market size in the near future, challenging NVIDIA, which currently holds a monopolistic 90% market share in this market.**\*\* According to Wall Street giants Morgan Stanley, Citigroup, Loop Capital, and Wedbush, the global investment wave in artificial intelligence infrastructure centered around AI computing hardware is far from over and is only at the beginning. Driven by an unprecedented "storm of demand for AI inference computing power," this round of AI infrastructure investment is expected to reach a scale of $3 trillion to $4 trillion, continuing until 2030.

From TPU v6 to the recently unveiled TPU v7, **Google is not only creating AI chips but is also building an almost insurmountable moat for the upcoming "AI inference blue ocean era."** At the same time, Google's long-time partner in TPU design, AI ASIC leader Broadcom, is also expected to embark on a "Nvidia-style stock price surge." Compared to other giants like OpenAI and Anthropic, Google, armed with the TPU "sword of computing power" that is rapidly expanding its penetration, may be the only AI application and cloud computing player that can fully control the fate of computing power.

According to data calculated by Semianalysis, Google's latest TPU v7 (Ironwood) has shown an astonishing generational leap **, with TPU v7's BF16 computing power reaching 4614 TFLOPS, while the widely used previous generation TPU v5p only reached 459 TFLOPS, representing a whole order of magnitude improvement.** In addition, TPU v7's memory directly competes with Nvidia's Blackwell architecture B200, **and AI ASICs that are more cost-effective and energy-efficient for specific applications can more easily handle mainstream inference computing loads, with TPU even providing 1.4 times the performance per dollar compared to Nvidia's Blackwell.**

Alexander Morris, Investment Director at Skagen AS, stated in an interview: "The logic that Nvidia is the only company capable of providing high-performance chips for AI data center construction has completely changed."

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