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Nvidia’s quarterly report will gauge the temperature of the AI craze

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SAN FRANCISCO — Artificial intelligence bellwether Nvidia is poised to release a quarterly report that’s expected provide a better sense about whether the stock market has been riding on an overhyped bubble or whether it’s being propelled by a technological boom that’s still gathering momentum.

The financial results due out Wednesday afternoon have become a key AI barometer during the past two years because Nvidia makes most of the chips that power the technology in vast data centers scattered throughout the boom. Nvidia become the first publicly traded company to surpass a market value of $4 trillion last month, and its stock price has gained another 13% since then to create an additional $500 billion in shareholder wealth.

This summer’s run-up has continued Nvidia’s jaw-dropping rise from early 2023, when the company’s market value was hovering around $400 billion, shortly after OpenAI’s late 2022 release of its ChatGPT chatbot triggered the biggest craze in technology since Apple released the first iPhone in 2007.

While the technology industry has been the biggest beneficiary of the AI frenzy, it’s also been a boon for the overall stock market. The benchmark S&P 500 has gained 68% since the end of 2022, with AI fervor fueling much of the investor optimism.

But even amid the general euphoria, there recently have been murmurs about whether AI mania will prove to be an echo of the late 1990s dot-com boom that culminated in an excruciating stock market meltdown in 2000 that eventually drove the U.S. economy and plunged Silicon Valley into a funk that lasted several years before the tech industry began to thrive again.

Investors were recently spooked by a combination of an MIT report that said 95% of AI pilots fail and comments from OpenAI CEO Sam Altman floating the idea that the artificial intelligence market is in a bubble.

And by some metrics, the stock prices of tech companies at the AI are looking frothy. For instance, Nvidia is trading at about 40 times its future earnings, roughly double the rate that investors traditionally believe is a reasonable level. Meanwhile, the market value of Microsoft, another AI leader, is hovering just below $4 trillion, while the values of other fellow pacesetters Amazon, Facebook parent Meta Platforms and Google parent Alphabet currently range from $1.9 trillion to $2.5 trillion.

Nvidia is expected to post another quarter of robust growth for the May-July period of its fiscal year. Analysts surveyed by FactSet research predict Nvidia will earn $1.01 per share, excluding certain items unrelated to its ongoing business, which would be a 49% increase from the same time last year. The analysts anticipated Nvidia’s revenue would rise 53% from a year ago to about $46 billion.

Those gains reflect the financial tsunami flooding the AI market as the biggest players spend heavily to build and expand data centers needed to power the technology. Microsoft, Amazon, Alphabet and Meta are collectively budgeting more than $325 billion for investments in AI this year. With its dominant position in the AI chip market, Nvidia is reaping the benefits of that intense demand.

Even so, the trajectory of Nvidia’s growth has been tapering off. If analyst projections pan out, Nvidia’s revenue growth for its latest quarter will be significantly lower than the 122% increase it posted during the same period last year.

And Nvidia has also been losing business because of President Donald Trump’s trade war with China. Following a ban on its AI chip sales in China, which resulted in a $4.5 billion blow to its finances during its fiscal first quarter, Nvidia estimated that the restrictions would cost it about approximately $8 billion in sales in this during the past quarter.

Trump took the China handcuffs off of Nvidia earlier this month in return for a 15% cut of the company’s sales in that country — a compromise CEO Jensen Huang is expected to discuss with analysts while he shares his perspective on the state of the AI market on a call with investors.



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Woongjin ThinkBig will officially launch its artificial intelligence (AI)-based reading platform “Bo..

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Read a book in the voice that artificial intelligence wants. It won the Best Innovation Award at CES earlier this year

Woongjin ThinkBig announced on the 1st that it will introduce an artificial intelligence-based reading platform for the first time at the Gyeonggi Library, which will open next month.

Woongjin ThinkBig will officially launch its artificial intelligence (AI)-based reading platform “Book Story” in October. The first service will be officially introduced at the Gyeonggi Library, which will open next month.

Woongjin Thinkbig announced on the 1st that it recently signed a delivery contract with Gyeonggi Library and decided to supply book stories and books published by its company.

Accordingly, users of Gyeonggi Library can experience book stories through tablets placed in children’s zones in the library.

The contract was conducted with the aim of providing Gyeonggi-do residents with a differentiated reading and learning experience based on high-tech technology and leading digital reading innovation in the public sector.

Book Story is a reading solution in which AI analyzes the letters of picture books and reads books with the voice of the user’s choice. It increases children’s immersion in reading by adding visual effects, background sounds, and quizzes that fit the story.

Book Story was recognized for its technological prowess and efficacy by winning the AI Best Innovation Award at CES2025, the world’s largest consumer electronics fair, earlier this year.

Woongjin ThinkBig will seek further cooperation with libraries in Gyeonggi-do Province, while also pushing for the supply of libraries nationwide.

“Book Story is a service that helps children naturally get close to books and develop reading habits,” said Kim Il-kyung, head of Woongjin Thinkbig’s DGP business division. “Starting with the delivery of Gyeonggi Library, we will spread new reading experiences through cooperation with public institutions and work to close the digital reading gap.”



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Alibaba’s Shares Soar 15% After Making Headway in China AI Boom

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Alibaba Group Holding Ltd.’s stock leapt almost 15% after reporting a surge in revenue from AI, underscoring the steady progress it’s making against rivals in a post-DeepSeek Chinese development frenzy.



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Alphabet Lands $10 Billion Meta Cloud Deal, a Win for Google’s Artificial Intelligence Ambitions and Investors

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Meta’s six-year deal with Google Cloud is indicative of where hyperscalers are headed.

Over the last few years, hyperscalers like Amazon, Microsoft, and Alphabet (GOOGL 0.63%) (GOOG 0.56%) have poured hundreds of billions of dollars into artificial intelligence (AI) infrastructure.

Much of this capital has been geared toward securing graphics processing units (GPUs) and designing custom silicon from Nvidia, Advanced Micro Devices, and Broadcom — the backbones of the AI infrastructure revolution.

But why has big tech been so relentless in its pursuit of AI hardware? On the surface, the answer is simple: build sprawling data centers filled with clusters of high-performance chips to power AI workloads. Yet the deeper motivation is becoming clearer, and Meta Platforms (META -1.69%) may have just handed us the biggest clue.

According to reports, Meta struck a six-year $10 billion deal with Alphabet’s Google Cloud Platform (GCP). This isn’t just about the price tag. It signals how hyperscalers are positioning themselves for the next chapter of cloud computing in the AI era.

Let’s dig into Meta’s recent infrastructure investments and see how they align with this new cloud deal. For Alphabet, the implications of this deal could be huge — and investors should be watching closely.

Meta’s spending spree continues and…

Meta’s partnership with Google Cloud comes as the company is ramping up record capital expenditures.

META Capital Expenditures (TTM) data by YCharts; TTM = trailing 12 months.

Beyond its huge data center buildouts, Meta recently invested $14.3 billion in Scale AI, a leading data-labeling start-up. For those who are unfamiliar with what data labelling is, it’s the process of tagging raw data (i.e. images, audio) so AI models can understand and learn from it. This is vital for Meta because higher-quality datasets are the foundation to accurately train and scale its AI systems. Meta also unveiled a new research group, dubbed Meta Superintelligence Labs (MSL). Together, these initiatives highlight Meta’s ambitions to push past traditional large language models (LLMs) and position itself at the forefront of the next frontier in AI: artificial general intelligence (AGI).

… this time it’s Alphabet that benefits

Meta’s collaboration with Google Cloud follows a similar partnership between Alphabet’s cloud platform and ChatGPT maker OpenAI, signaling a subtle but important shift in the cloud landscape.

Even companies deeply tied to incumbents like Microsoft Azure and Amazon Web Services (AWS) are now diversifying to access Google’s tensor processing unit (TPU) chips and its AI-optimized infrastructure, which includes advanced cybersecurity protocols as a major differentiator.

While AWS pioneered the public cloud and Azure figured out how to dominate the enterprise information-technology landscape, Alphabet has carved out a role as an AI-first cloud provider, emphasizing machine learning and data analytics. The fact that both Meta and OpenAI have chosen Google Cloud underscores how strongly Alphabet’s strategy resonates with the companies setting the pace for the AI revolution.

At the same time, multicloud strategies are now becoming the industry norm. Businesses no longer want to be locked into a single vendor, especially as AI training and inference workloads grow more complex. By distributing workloads across providers, companies can optimize for cost, performance, and availability, while avoiding computing bottlenecks.

For Meta, this flexibility is crucial. As it scales up next-generation generative AI tools, develops agentic assistants, and enhances its advertising algorithms, tapping Google Cloud ensures both the capacity and unique specialization required to compete in an intense AI landscape.

A person smiling while looking at a stock chart.

Image source: Getty Images.

Is Alphabet stock a buy?

For Alphabet, the Meta deal stresses its strategic importance in the AI cloud ecosystem. Securing a multiyear, multibillion-dollar partnership not only boosts revenue visibility for Google Cloud but also validates years of heavy investment in AI infrastructure.

GOOGL PE Ratio (Forward) Chart

GOOGL PE Ratio (Forward) data by YCharts.

Yet despite this progress, Alphabet stock remains undervalued relative to peers in the cloud space.

Trading at a forward price-to-earnings multiple (P/E) of just 21, the market still appears to underappreciate the accelerating momentum across the company’s business.

To me, Alphabet stock is a no-brainer opportunity right now. It looks dirt cheap, and the new Meta deal further reinforces the company’s leading position among AI hyperscalers, even if the stock price doesn’t reflect that.

Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia, and Oracle. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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