Alphabet may be on the verge of upending the AI stock race. The Google parent is closing in on Nvidia's market value, narrowing the gap between the two companies that have become shorthand for the AI boom. This development, fueled by growing confidence in Google Cloud, custom AI processors, and major AI infrastructure deals, marks a dramatic shift in the competitive landscape.
Alphabet still needs to close a gap of nearly $120 billion to top the market. Nvidia's market cap last stood close to $4.79 trillion as of Tuesday morning, compared to Alphabet's at $4.67 trillion, according to recent data. Nvidia had previously reached an all-time market high of around $5.2 trillion. However, many experts now anticipate that Alphabet will surpass its rival, driven by a series of strategic wins and robust financial performance.
Wall Street warms to Alphabet's AI strategy
The move reflects a dramatic shift in investor sentiment as Alphabet increasingly positions itself as a major player in AI services through its cloud platform. It is also becoming a growing threat to Nvidia, thanks in part to a reported $200 billion, five-year commitment from the AI research lab Anthropic to use both Google Cloud and Nvidia's custom processors. This deal underscores the deepening interdependence between cloud providers and hardware manufacturers in the AI ecosystem.
In recent months, Alphabet's cloud growth has caught Wall Street's attention, far exceeding expectations and those of bigger rivals Amazon and Microsoft. Google Cloud's revenue grew 63% in the first quarter, much higher than analysts had projected, and the growth rate was the highest since Alphabet began segmenting the unit's revenue in 2020, according to LSEG data. This surge has been attributed to high demand for cloud and AI offerings, driving a meaningful acceleration in growth that indicates to investors that significant AI investments are paying off.
Stephanie Link, chief investment strategist at Hightower Advisors, noted in a recent interview that the positive sentiment is linked to hyperscaler capital expenditure and early signs of better monetization, particularly from Alphabet, compared to the broader AI food chain, which includes data centers, grid, and power. This perspective highlights how Alphabet's investments in infrastructure and custom chips are yielding tangible returns.
Google Cloud significantly beats revenue projections
Alphabet last held the No. 1 position briefly in February 2016 before Apple reclaimed the spot. The company's stock has surged about 24% this year, while Nvidia's shares are up just about 7%. Nvidia's stock was brought down from its peak after reports that OpenAI had missed its targets for new users and revenue, casting a shadow over the broader AI chip demand outlook.
Interestingly, the gap closure comes amid a broader recalibration of expectations for AI-related companies. While Nvidia has been the dominant beneficiary of the AI boom, with its graphics processing units powering most large-scale AI models, Alphabet's strategy of building custom AI processors—such as the Tensor Processing Unit (TPU)—has given it a competitive advantage. These chips are designed specifically for machine learning workloads, enabling Alphabet to optimize performance and cost for its cloud customers.
Alphabet flying high
In the AI realm, Alphabet has been competing with OpenAI so aggressively that it has reinforced Wall Street's view that the company is the industry leader. In 2025, its shares surged 65.3%. The stock also got a boost last year after a US judge ruled that Alphabet did not violate antitrust laws, nixing a suit brought by the US government seeking to break up the company. The ruling allowed Alphabet to retain control of its Chrome browser and Android mobile operating system, removing a significant overhang on its valuation.
The antitrust decision was a pivotal moment for Alphabet, as it had faced the possibility of forced divestitures that could have weakened its competitive position. Instead, the company emerged stronger, with its ecosystem intact and its ability to invest in AI and cloud services unhindered.
Meanwhile, Nvidia's challenges have mounted. Beyond the OpenAI revenue miss, the company faces increasing competition from custom chip developers and a potential slowdown in spending by major cloud providers as they seek to diversify their hardware sources. Alphabet's custom TPUs, for instance, are now being used by a growing number of enterprises through Google Cloud, reducing their reliance on Nvidia's offerings.
In this environment, the $200 billion Anthropic deal serves as a powerful endorsement of Alphabet's hybrid strategy. The agreement, which involves both Google Cloud and Nvidia's custom processors, effectively positions Alphabet as a one-stop shop for AI workloads—combining cloud services, cutting-edge hardware, and deep AI expertise. This approach is resonating with investors, who see it as a more sustainable and diversified revenue stream compared to Nvidia's chip-centric model.
The broader implications for the tech industry are profound. If Alphabet does overtake Nvidia in market capitalization, it will signal a shift in investor preferences from pure-play hardware to integrated platform companies that can capture value across the entire AI stack. This could accelerate the trend of major tech companies developing their own chips, further challenging Nvidia's dominance.
Yet the race is far from over. Nvidia's revenue still dwarfs Alphabet's in the AI segment, and the company continues to invest heavily in next-generation chips like the Blackwell architecture. Alphabet's market cap advantage, if achieved, may be temporary. However, the momentum clearly belongs to Alphabet for now, as evidenced by its recent financial performance and stock price action.
In the coming quarters, all eyes will be on quarterly earnings reports from both companies. Alphabet's ability to sustain its cloud growth, while Nvidia navigates potential demand headwinds, will determine the final outcome of this battle for the title of the world's most valuable public company.
Source: TechRepublic News