Alphabet hits $4 trillion valuation as AI strategy and Apple deal reshape investor sentiment

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Google's parent company reached a $4 trillion valuation for the first time, surpassing Apple to become the second-most valuable company globally. The milestone follows Apple's decision to use Google's Gemini AI model to power Siri, marking a dramatic shift in investor sentiment as Alphabet's stock surged 65% in 2025.

Alphabet Reaches Historic $4 Trillion Valuation Milestone

Alphabet achieved a $4 trillion valuation on Monday, becoming the fourth company to reach this threshold after Nvidia, Microsoft, and Apple

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. Google's parent company also surpassed Apple in market cap for the first time since 2019, claiming the position as the second-most valuable company in the world . The achievement marks a stunning reversal in investor sentiment, with Alphabet's stock surging approximately 65% throughout 2025, outperforming its peers in the Magnificent Seven group of elite tech stocks

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Source: ET

Source: ET

The rapid run-up created an additional $1.4 trillion in shareholder wealth since September, when a federal judge ruled against breaking up the company following an antitrust case

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. This represents Alphabet's sharpest rally since 2009, when the stock doubled coming out of the financial crisis

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Gemini AI Model Powers Strategic Apple Partnership

The stock surge accelerated after Apple announced it had selected Google's Gemini AI model to power a major overhaul of Siri, the digital assistant installed on every iPhone

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. Apple stated it determined that Google's technology provides the most capable foundation for Apple Foundation Models after careful evaluation

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. While neither company disclosed the deal's financial terms, the partnership represents a significant validation of Google's artificial intelligence capabilities.

Source: PYMNTS

Source: PYMNTS

The timing proves particularly advantageous for Alphabet as Apple has struggled with its own AI development. Apple still hasn't launched the AI-enhanced version of Siri it first unveiled in 2024, repeatedly postponing the update . Apple Intelligence has been criticized for being inaccurate and underwhelming compared with rivals, with one of the biggest stories in 2025 being fake news headlines that Siri kept generating in its summaries .

Advancements in AI Drive Competitive Edge

Alphabet's resurgence stems from a series of high-profile product launches that demonstrate its AI breakthroughs. The company's Gemini 3 model has drawn strong reviews, intensifying pressure on OpenAI after GPT-5 left some users underwhelmed

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. The popular Nano Banana image generator and editor also contributed to shifting momentum, giving Google its own viral moment similar to ChatGPT's early success

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Source: BNN

Source: BNN

Analyst Deepak Mathivanan upgraded Alphabet's stock on January 8, noting that the technological advantages of the Gemini assistant app are underappreciated. "Google arguably has the strongest footprint across several layers in the AI tech stack, and the company's decade-long investments have enabled deep competitive moats," Mathivanan wrote

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. Citi analysts named Google a top internet pick for 2026, highlighting that 70% of Google Cloud customers use its AI products

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Google Cloud Unit Emerges as Major Growth Engine

The once-overlooked Google Cloud unit has transformed into a major driver of AI-driven growth. Google Cloud's revenue jumped 34% in the third quarter, with a backlog of non-recognized sales contracts rising to $155 billion

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. The company signed more deals worth over $1 billion through the third quarter of 2025 than in the two prior years combined, according to CEO Sundar Pichai .

Renting out Google's self-developed AI chips that were reserved for internal use to outside customers has enabled the unit's breakneck pace of growth

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. The Information reported that Meta Platforms was in talks to spend billions of dollars on Alphabet's chips for use in its data centers starting from 2027

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. Google revealed its TPU (tensor processing unit) v7 "Ironwood" accelerator in November as an alternative to Nvidia's hardware, followed by a new Gemini partnership with the Pentagon for its military AI platform .

The company's dominant revenue generator—the advertising business driven by Google Search and YouTube—has largely held steady in the face of economic uncertainty and intense competition

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. This stability provides a foundation for continued investment in AI infrastructure.

Antitrust Victories and AI Bubble Concerns

Alphabet's stock performance benefited significantly after a U.S. judge ruled in September against breaking up the company, allowing it to retain control of its Chrome browser and Android mobile operating system

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. The ruling came after a case that branded Google's search engine an illegal monopoly, but investors widely interpreted the outcome as a slap on the wrist

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. U.S. District Judge Amit Mehta reasoned that technological advances unleashed by artificial intelligence already have been forcing significant changes in online search

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However, concerns about an AI bubble persist. Both Apple and Microsoft have dropped well below the $4 trillion line amid worries that spending sprees on AI will turn into a bubble that bursts

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. Nvidia's market value briefly topped $5 trillion in late October before backtracking as AI bubble fears exacted a toll on its stock performance

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. Even Sundar Pichai conceded that some market "irrationality" is contributing to skyrocketing market values of Big Tech companies during a November interview with the BBC, stating "I think no company is going to be immune, including us" if the AI-driven euphoria suddenly evaporates

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The rare tech investment from Warren Buffett's Berkshire Hathaway in Google's cloud business signals institutional confidence in Alphabet's AI strategy

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. A Reuters report indicated that Samsung Electronics plans to double this year the number of its mobile devices with AI features powered by Google's Gemini

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. Google's Waymo robotaxi division has also dispatched more self-driving vehicles in cities across the U.S., demonstrating practical applications of AI technology

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