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Following Google, Microsoft Faces Antitrust Scrutiny: Japan’s Antitrust Storm Intensifies, Cloud Business Under Compliance Scrutiny

Japan's antitrust regulator, the Japan Fair Trade Commission (JFTC), launched a surprise on-site inspection at Microsoft Japan's headquarters on February 25. According to sources familiar with the matter, the inspection primarily focuses on investigating whether Microsoft has been improperly promoting its Azure cloud platform by leveraging its dominant position in the operating system and office software markets. The JFTC suspects that Microsoft has set unfair licensing terms, making it more costly or technically challenging for customers to run Windows Server or Microsoft 365 software on third-party platforms like Amazon Web Services (AWS) or Google Cloud, compared to using Azure. A…

“Smart Money” Returns to Tech Giants and Software Stocks: Is a Nasdaq Rebound Imminent?

A research report sent to clients by Wall Street financial giant JPMorgan (NYSE:JPM) on Tuesday revealed that hedge funds, often referred to as "smart money," bought up the largest U.S. tech giants and SaaS software stocks that are thought to be highly susceptible to cutting-edge AI technologies. This could indicate that the Nasdaq 100 Index (NASDAQ:NDX), which is considered a "barometer" for tech stocks, might be poised for a short-term rebound after nearly a month of pullbacks. Following the substantial rally of the U.S. stock market's super bull run since 2023, the world's seven largest U.S. tech giants, including Google…

Top Stocks To Buy In Wednesday 2016-02-12

The No. 1 most actively traded U.S. stock on Wednesday was Nvidia(NASDAQ:NVDA), which closed up 0.80% with $27.384 billion in trading volume. UBS raised its target price on Nvidia from $235 to $245. In its latest report, Goldman Sachs lifted its earnings forecast for Nvidia’s fiscal fourth quarter of 2026 and maintained a $250 price target, emphasizing that revenue visibility for 2027 will be a key catalyst. Institutional ratings show that more than 90% of analysts assign a “Buy” or “Overweight” rating, with an average target price of $260.26, reflecting market optimism about AI computing demand. However, Goldman also warned…

Microsoft CEO Nadella Warns: AI Could Become a Speculative Bubble Without Widespread Adoption

Microsoft(MSFT) CEO Satya Nadella has warned that the current artificial intelligence boom risks turning into a speculative bubble unless the technology’s applications extend beyond big tech companies and wealthy economies. Speaking at the World Economic Forum annual meeting in Davos on Tuesday, January 20, Nadella emphasized that the long-term success of AI depends on its adoption across a broader range of industries and its penetration into regions outside of developed nations. He noted that if only technology companies benefit from the rise of AI while other sectors are left behind, it would be a "clear sign of a bubble." Data…

Top Stocks To Buy In Wednesday 2016-02-12

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The No. 1 most actively traded U.S. stock on Wednesday was Nvidia(NASDAQ:NVDA), which closed up 0.80% with $27.384 billion in trading volume.

UBS raised its target price on Nvidia from $235 to $245.

In its latest report, Goldman Sachs lifted its earnings forecast for Nvidia’s fiscal fourth quarter of 2026 and maintained a $250 price target, emphasizing that revenue visibility for 2027 will be a key catalyst. Institutional ratings show that more than 90% of analysts assign a “Buy” or “Overweight” rating, with an average target price of $260.26, reflecting market optimism about AI computing demand. However, Goldman also warned of risks such as a slowdown in AI infrastructure investment and intensifying competition.

The No. 2 most actively traded stock was Tesla (NASDAQ:TSLA), which rose 0.72% on trading volume of $24.366 billion.

According to reports, Tesla Vice President Raj Jegannathan announced on LinkedIn on February 9 local time that he was leaving the company, ending his 13-year tenure. This marks the latest departure in a wave of executive exits from companies under Elon Musk. Previously, several core executives at Tesla and xAI had also stepped down.

Jegannathan wrote, “It’s not easy to summarize 13 years in one post. My journey at Tesla has been a continuous evolution. As I leave, I do so with gratitude and excitement for what lies ahead.”

The No. 3 most actively traded stock was Micron Technology (NASDAQ:MU), which surged 9.94% on trading volume of $19.165 billion.

On Wednesday, Morgan Stanley raised its target price on the stock from $350 to $450 while maintaining an “Overweight” rating. The new target is above Micron’s Wednesday closing price of $410.34 and aligns with the broadly bullish consensus among analysts. Public data show that the stock’s average analyst rating stands at 1.56 (Strong Buy).

In addition, during a speech at the Wolfe Research conference, Micron addressed rumors that it “might miss out on Nvidia’s new HBM4 orders,” stating that the supply-demand imbalance, with capacity in short supply, is expected to persist at least through 2028. The clarification helped lead a strong rebound in shares of several leading memory manufacturers.

The No. 4 most actively traded stock was Microsoft (NASDAQ:MSFT), which fell 2.15% on trading volume of $16.686 billion.

According to media reports, Bill Gates, chairman of the Gates Foundation, made a surprise appearance in Zhangjiang, Shanghai, on the evening of February 11 to attend an event titled “Action Creates Hope.”

This visit marked Gates’ return to China approximately two and a half years after his previous trip in June 2023.

In an interview, Gates directly addressed the controversy surrounding his relationship with Jeffrey Epstein. He clarified, “Between 2011 and 2014, I did have several dinners with Epstein, but there is really nothing new to add about that. I never had contact with any victims, nor did I ever visit his island.”

The No. 5 most actively traded stock was Alphabet Class A (NASDAQ:GOOGL), which declined 2.39% on trading volume of $14.066 billion.

According to reports, Google is introducing a new feature that allows consumers to purchase products directly when receiving AI-powered answers through its search engine and Gemini chatbot. This initiative is part of a broader strategy to monetize user engagement with artificial intelligence more directly.

In a letter to the advertising industry on Wednesday, the company said that its AI mode in Google Search is testing new ad formats that allow retailers and other advertisers to showcase products. Google also stated that users can now purchase items from Etsy and Wayfair directly within Gemini. The newly added “Direct Offers” feature in AI mode will enable brands to provide discounts to potential shoppers.

The No. 6 most actively traded stock was Apple (NASDAQ:AAPL), which rose 0.67% on trading volume of $13.963 billion.

Well-known technology journalist Mark Gurman reported that Apple’s long-planned upgrade to its Siri voice assistant has encountered setbacks in recent weeks of testing, which could delay the release of several highly anticipated features.

According to sources familiar with the matter, Apple had originally planned to introduce these new features in iOS 26.4, scheduled for release in March, but is now considering spreading them across future versions.

This means that at least some of the features could be postponed until iOS 26.5, expected in May, or even until iOS 27, set for release in September.

Microsoft CEO Nadella Warns: AI Could Become a Speculative Bubble Without Widespread Adoption

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Microsoft(MSFT) CEO Satya Nadella has warned that the current artificial intelligence boom risks turning into a speculative bubble unless the technology’s applications extend beyond big tech companies and wealthy economies.

Speaking at the World Economic Forum annual meeting in Davos on Tuesday, January 20, Nadella emphasized that the long-term success of AI depends on its adoption across a broader range of industries and its penetration into regions outside of developed nations. He noted that if only technology companies benefit from the rise of AI while other sectors are left behind, it would be a “clear sign of a bubble.”

Data from Microsoft and other tech firms highlight a significant divide in global AI adoption, with productivity gains and workplace applications currently concentrated in more affluent, developed countries. This uneven development pattern is fueling industry concerns regarding the sustainability of returns on AI investment.

Despite these concerns, Nadella expressed confidence in AI’s transformative potential, asserting that the technology will revolutionize various industries—such as drug discovery—and ultimately drive global economic growth.

Technology Diffusion as a Litmus Test for Bubbles

During a conversation with BlackRock CEO Larry Fink, Nadella made it clear that more equitable distribution of benefits is key to AI avoiding a bubble scenario. He stated:

“By definition, for this not to be a bubble, you need the benefits of this technology to be much more evenly distributed.”

The Microsoft chief remains optimistic about the future of AI technology. He noted:

“I’m more confident that this technology will actually build on top of cloud and mobile, spread faster, change the productivity curve, and create local surplus and economic growth everywhere in the world.”

Nadella’s remarks came on the opening day of the World Economic Forum, kicking off a series of speeches by high-profile tech executives, including Google DeepMind CEO Demis Hassabis and Anthropic founder Dario Amodei.

A Multi-Model Strategy Replaces Exclusive Dependency

Nadella reiterated his view on the future landscape of AI, suggesting that the market will not rely on a single dominant model provider. This perspective has driven Microsoft’s partnership strategy with multiple leading AI firms, including Anthropic, xAI, and OpenAI.

Microsoft previously gained a significant first-mover advantage through its $14 billion investment in OpenAI, which granted it exclusive access to the ChatGPT creator’s technology and priority in data center collaborations. However, following a restructuring of the partnership last October, Microsoft has relinquished exclusive rights to OpenAI’s data center needs and is set to lose exclusive access to its research and models by the early 2030s.

Nadella emphasized that in the future, enterprises will have the flexibility to utilize a variety of models—including open-source options—and can even build smaller, more cost-effective proprietary models using techniques like “distillation.” He stated:

“So, the core competency of any application or any company is how they compose these models with context engineering or their own data. As long as people have an answer to that, they will keep making progress.”