Google AI Chain: The new mainline rivaling the "Apple Chain" of the past! Buffett's "closing moment" bet on Google is replicating the "Apple super bull market."

Holding onto AI's large models, the global shock of Gemini3 AI application ecosystem, the original TPU AI computing system, cloud computing market share in the top three globally Google Cloud, as well as cutting-edge "AI+ advertising marketing" ecosystem like YouTube, and even the tech giant of quantum chips - Google, has a strong momentum to become the "biggest winner of the global AI super trend", with many financial big V and senior AI engineers praising Google for possessing all the characteristics of a "monopoly AI era" with its application software and proprietary high-efficiency computing power AI ecosystem. After last week's "explosion" of Gemini3, it has become all the rage worldwide, with both B-end enterprises and C-end individual users exclaiming that this is "the most powerful multimodal large model in human society so far." Coupled with last week's announcement of the "miraculous drawing tool" Nano Banana Pro (belonging to the Gemini 3 ecosystem), it is expected to exponentially innovate enterprise management efficiency and C-end user software collaboration efficiency. Even some senior engineer users are amazed that Gemini3 has all the elements to become an ASI or AGI such as "a comprehensive artificial intelligence system that surpasses humans in all aspects," surpassing even the abilities of JARVIS, the personal assistant in "Iron Man," or Skynet in the Terminator series. In addition, insiders revealed that Facebook's parent company Meta is considering investing billions of dollars in purchasing Google's TPU AI computing infrastructure in 2027, including for Meta's massive AI data center construction. Moreover, Mark Benioff, the CEO of Salesforce, recently announced that the company will abandon OpenAI's large models and instead use Google's latest artificial intelligence model Gemini 3. With these latest developments and the recent large investment of billions of dollars by the Anthropic project, previously dubbed as an "OpenAI rival," in purchasing 1 million TPU chips, the so-called "Google AI ecosystem" is becoming increasingly hot, with almost all ecosystem participants' stock prices skyrocketing in recent days. Gemini3 has shocked the world, and coupled with the "stock god" Buffett's "last dance" by building a large position in Google's parent company Alphabet, not only has the parent company's stock price skyrocketed and hit new all-time highs, but Buffett's investment is gaining significant returns. Since November, the stock price has surged by over 10%, with a market value approaching $4 trillion, while companies like Broadcom, TSMC, and MongoDB, important participants in the Google AI ecosystem chain, have entered into a mode of wild and skyrocketing stock prices. Since mid-October, Alphabet's stock has risen significantly by 35%, adding nearly $1 trillion to its market value, now trailing only approximately $600 billion behind Nvidia's $4.4 trillion market value. This esteemed international businessman who has navigated the global business and financial markets for decades and is now 95 years old, known as the "Oracle of Omaha," is set to step down as the CEO of Berkshire Hathaway by the end of 2025. Thus, Buffett's latest 13F stock positions for Berkshire Hathaway are considered a summary of his legendary investment career, passing the "core chips of the tech era" from Apple's consumer electronics ecosystem to the emerging "Google AI ecosystem." In 2016, Buffett made a seemingly late investment in consumer electronics with Apple, witnessing and significantly amplifying Apple's subsequent "Apple supernova bull market trajectory" for several years. In the unprecedented AI wave-dominated year of 2025, while gradually reducing Apple's stock position, he quietly shifted billions of dollars to Google's parent company Alphabet, effectively transitioning from the previous hardware-focused Apple ecosystem to the new core AI-centric ecosystem. If one missed the super bull market trajectory that Apple's stock price embarked on in 2016, one should not overlook Google now. Google's dominance in the AI field has built a "super AI moat," with tangible efficiency in AI capital expenditures and clearer paths to AI monetization/revenue streams compared to Meta, Microsoft, and Amazon. From chips (TPU) - high-performance network infrastructure (OCS) - models (Gemini) - AI application ecosystem (cloud computing/search engine/AI+ advertising/marketing/sovereign AI), especially with Google's in-house TPU chips achieving superior "efficiency" and "cost-effectiveness" compared to Nvidia's AI GPU computing cluster, combined with Gemini's leading global model capabilities, global funds flock in, emphasizing the significant investment opportunities in Google's AI computing demand. As Google CEO Sundar Pichai mentioned in a recent interview, Google's unique "full-stack AI" operating model encompasses various technologies from self-developed AI chips to YouTube data, models, and cutting-edge science. This positions the company in an excellent position within the AI wave and enhances its capability to handle any disruptions in the AI market, including an "AI bubble burst." In 2016, Buffet's Berkshire first invested approximately $1 billion in Apple when there were concerns about whether Apple had hit its peak in the market. Over the subsequent years from 2016 to 2018, Berkshire made several substantial additions to its position, investing about $35-40 billion in total. This investment eventually led to a doubling of Apple's stock price, recognized as one of Buffet's most successful technology stock cases in his investment career. Meanwhile, the "fruit chain" rising around the iPhone and Apple ecosystem became one of the most important investment themes in the global capital markets over the past decade. Today, a similar "bull market narrative" is unfolding around Google, but the main battlefield has shifted from the era of smartphones to the era of AI-centric computing power and AI application ecosystems. On one hand, Google, under Alphabet, has built an integrated "Google AI ecosystem chain" from bottom-level computing power hardware using its TPU to upper-level models and applications. On the other hand, as Berkshire reduces its Apple holdings and makes a significant investment in Google's parent company Alphabet, billions of dollars are shifting away from the previous hardware-focused "fruit chain" towards the new core AI ecosystem. If Apple in 2016 represented the core asset and industry chain of the mobile internet era, then Google in 2025 is becoming the key anchor point of the "computing power + models + applications" full-stack AI application ecosystem as humankind transitions into the AI era. If one missed Apple's bull market start, one should not easily overlook the new investment theme of the "Google AI ecosystem chain" today. On Wall Street, top analysts have shown exceptional confidence in Alphabet's Google parent company this year, with BNP Paribas recently covering Google for the first time and giving it an "outperform market" rating with a target price of $355. Google's stock price has surged by 68% in 2025, significantly outperforming the S&P 500 Index and the Nasdaq 100 Index. As of Monday's close, Google's stock price was around $318, with a total market capitalization of $3.84 trillion, reaching as high as $331.8 on Tuesday before the market opened. BNP Paribas analyst Nick Jones wrote in a report to clients, "We see Google as the big winner in AI/cloud computing, dominating the search field, possessing the leading video ad platform YouTube, and expanding its cloud computing business through Google Cloud." He further stated, "After experiencing market pressures from regulation, intensified competition in search and advertising, and long-term uncertainty in AI positioning, Google's stock price has started to rise. With the company continuing to demonstrate its strong AI capabilities, we believe there is room for further expansion of valuation multiples." Senior analyst Ben Rezes from Melius pointed out that Google has made a "strong return in the field of artificial intelligence," with its latest upgraded Gemini artificial intelligence model and in-house TPU causing some investors to "fear that Alphabet will get ahead of the artificial intelligence war." Rezes noted that what makes Google a threat to many AI frontrunners is its "highest degree of vertical integration as an AI hyperscaler" and specifically mentioned the company's TPU computing cluster and custom network architecture. "Only the Google team has the true capability to internalize more AI chip designs and drive the application of custom switches," he added. With the latest Gemini 3 ecosystem update, Google's full-stack capability is once again validated - the use of in-house TPU for core hardware computing power training, free from limitations of Nvidia's AI GPU computing clusters like Meta and Microsoft. In addition to training data from public internet systems like Beijing Vastdata Technology, exclusive user data from Google's vast application product ecosystem is also used. The capabilities of Gemini 3 are also integrated into Google's flagship products boasting strong profit capabilities. The rising "Google AI ecosystem chain" is likely to reshape the AI computing landscape previously dominated by the "AI chip ruler" Nvidia. Google's longtime "Google ecosystem participants" - Broadcom, the main player in TPU chip design upstream; Dell, the provider of hybrid cloud/local AI infrastructure and channel cooperation layer; and MongoDB, an important ISV member in Google's cloud platform downstream - have all seen wild upticks in their stock prices. In the upstream of the "Google AI ecosystem chain," Broadcom is a core player with other participants mainly focusing on AI computing and infrastructure layers. Aside from Broadcom, others include ARM, the owner of the ARM instruction set architecture; leaders in AI server technology like Dell and Foxconn; TSMC, the "chip foundry king" manufacturing ARM CPUs and TPUs; Nvidia with its AI GPU monopoly power; and various power system or nuclear power system suppliers. The core participants in the downstream are concentrated in cloud data platforms like MongoDB, Snowflake, Databricks, and various ISVs/integrators (such as jointly developing vertical solutions on Google Vertex AI). With over 650 million active users on Gemini, and total monthly token processing volume increasing over 20 times in a year, Google's entire AI ecosystem is thriving alongside the explosive growth in AI computing demand on the Google platform and the surge in AI application software penetration. The ownership of Google's strong AI expenses and the incredibly strong AI monetization trajectory emphasize the significant growth opportunities within the Google AI ecosystem. The Q3 earnings report for Google in 2025 shows a significant increase in capital expenditure to $91-93 billion, gearing up for further investments related to AI infrastructure. The revenue from Google Cloud, the cloud platform under Google, surged by 34% to $15.2 billion year-over-year, making it the core growth driver supported by strong demands for cloud-based AI computing infrastructure and generative AI solutions. Moreover, the monthly token processing volume has increased from 980 trillion in July to over 1.3 quadrillion, growing over 20 times in a year, highlighting Google's strong AI spending and equally strong AI monetization trajectory. The Q3 earnings report also indicates a 46% surge in Google Cloud's cloud computing orders backlog, reaching $155 billion, including orders for cloud-based AI training/inference computing power, signaling a plethora of certainty in future cloud computing and AI computing projects to be executed over the next few years, requiring larger-scale AI data center capacity for comprehensive digestion worldwide. Wall Street analysts are now collectively focused on the "Google TPU AI computing cluster," and they anticipate that Google will capture 30-40% of the AI computing infrastructure market shortly, challenging Nvidia, which currently has a market share dominance of 90%. According to major Wall Street firms such as Morgan Stanley, Citigroup, Loop Capital, and Wedbush, the AI infrastructure investment wave anchored by AI chip hardware is far from over, just beginning. With the unprecedented "AI reasoning computing power storm" pushing ahead, this round of AI infrastructure investment is expected to grow to $3-4 trillion by 2030. From TPU v6 to the latest TPU v7, Google is not just making AI chips but building an almost insurmountable moat for the upcoming "AI reasoning big blue ocean era." Moreover, Google, through its longstanding partner in TPU design, Broadcom, is poised to follow an Nvidia-like trajectory of soaring stock prices. Compared to other giants like OpenAI and Anthropic, Google, with its "computing power sword," TPU, whose penetration rate is accelerating, might be the only AI application and cloud computing player that fully controls the fate of computing power. According to calculations by Semianalysis, the astonishing generational leap shown in the latest TPU v7 (Ironwood) indicates a significant increase in computing power. TPU v7's BF16 computing power is up to 4,614 TFLOPS, while the widely used previous generation TPU v5p is only 459 TFLOPS, marking an entire magnitude of improvement. Furthermore, TPU v7's memory directly competes with Nvidia's Blackwell architecture B200 and offers superior performance in cost-effectiveness and energy efficiency in certain applications; for example, TPU provides 1.4 times more performance per dollar than Nvidia's Blackwell. Alexander Morris, the investment director at Skagen AS, stated in an interview on Tuesday, "The logic that Nvidia was the only company capable of providing high-performance chips for AI data center construction has completely changed."