The Mag7 Myth Shatters: 9 Consecutive Drops, Amazon Follows Microsoft into Bear Market

marsbitPublicado em 2026-02-14Última atualização em 2026-02-14

Resumo

Amazon's stock has experienced a nine-day losing streak, its longest in nearly two decades, officially entering a bear market after falling more than 23% from its recent high. It becomes the second member of the "Magnificent Seven" (Mag7) to do so, following Microsoft, which entered a bear market in late January and is down 27.8%. Meta is also nearing bear market territory, down 19.6% from its peak, as investor confidence is shaken by aggressive AI spending plans. The four major cloud hyperscalers—Amazon, Microsoft, Meta, and Alphabet—are projected to spend a combined $650 billion on capital expenditures in AI by 2026, with Amazon leading at $200 billion. This massive spending is raising significant concerns among investors about returns on investment and its impact on free cash flow. For Amazon, this level of expenditure could push its free cash flow into negative territory this year, potentially forcing it to raise more capital from debt markets. Analysts note a rotation within the Mag7, with investors moving away from companies like Microsoft and Nvidia to favor others like Alphabet, whose vertically integrated tech infrastructure helps alleviate some spending concerns. The next key catalyst for AI-related stocks is expected to be Nvidia's earnings report on February 25th, which will indicate whether the AI boom is sustaining.

Author: Zhao Ying, Bao Yilong, Wall Street Insights

Amazon's stock has fallen for nine consecutive days, marking its longest losing streak in nearly 20 years.

After entering a technical bear market on Thursday, becoming the second Mag7 company to fall into a bear market, Amazon's stock continued to decline on Friday.

Investors are strongly resisting the aggressive AI spending plans of tech giants, leading to significant declines in these star stocks.

On Friday, Amazon's stock closed at $198.79, down more than 23% from its recent high, officially crossing the bear market threshold the previous day, Thursday.

Among the four major hyperscale cloud service providers, Amazon has the highest planned capital expenditure for 2026, reaching $200 billion.

Amazon, Microsoft, Meta, and Alphabet are expected to collectively spend $650 billion on capital expenditures in the AI field by 2026.

Meta could be the next Mag7 member to fall into a bear market. As of Friday's close, it was down 19.6% from last year's high, just 0.4% away from the bear market threshold of a 20% decline. Although Meta's Q4 revenue and profits exceeded Wall Street expectations, increased AI spending and margin pressures have dampened investor confidence.

Microsoft was the first Mag7 member to enter a bear market. The company's stock fell into a bear market on January 29, after the Azure cloud business growth reported the previous day fell short of investor expectations. As of Friday's close, Microsoft's stock was down 27.8% from its recent high.

(Chart of Amazon, Microsoft, and Meta's performance over the past year)

Investors Rotate Within Mag7, Free Cash Flow Pressure Highlights

Mike Treacy, Vice President of Risk at Apex Fintech Solutions, stated that the recent sell-off highlights the growing divergence among Mag7 members.

Since last fall, investors have shifted away from OpenAI-related deals involving Microsoft, NVIDIA, and Oracle, favoring the Alphabet and Broadcom ecosystems instead.

Treacy pointed out that Alphabet's vertically integrated technology stack has somewhat offset concerns about excessive spending, shielding the stock from the worst of the tech sell-off. Alphabet's stock closed Thursday down 9.2% from its recent high.

Treacy noted that Google's self-sufficiency should command a premium relative to other companies that may be adversely affected by a single link in the industry chain.

Amazon, Microsoft, and Meta's stocks have been hit harder because investors lack confidence that these companies' AI spending will yield sufficient returns on investment.

For Amazon, the increased level of expenditure could lead to negative free cash flow this year, meaning the company may need to start raising more funds in the debt market.

Treacy believes that the next major catalyst for AI trades will be NVIDIA's earnings report on February 25. This report will show whether the AI boom is cooling down or if NVIDIA has successfully captured the tens of billions of dollars its largest clients are investing into the field.

Related reading: Trading Moment: AI Panic Escalates Ahead of CPI, Bitcoin Grinds Bottom, May Struggle to Repeat "Spring Festival Rally"

Perguntas relacionadas

QWhat is the main reason for the recent decline in Mag7 stocks, particularly Amazon and Microsoft?

AInvestors are strongly resisting the aggressive AI spending plans of tech giants, leading to significant sell-offs in these star stocks.

QWhich Mag7 company was the first to enter a bear market, and when did it happen?

AMicrosoft was the first Mag7 member to enter a bear market, with its stock falling into bear territory on January 29.

QHow much is Amazon's planned capital expenditure for 2026, and what is the total AI-related capital expenditure expected from the four major cloud service providers?

AAmazon plans a capital expenditure of $200 billion for 2026. The four major cloud service providers (Amazon, Microsoft, Meta, and Alphabet) are expected to spend a total of $650 billion in AI-related capital expenditures by 2026.

QWhich Mag7 company is at risk of being the next to fall into a bear market, and how close is it to the 20% decline threshold?

AMeta is at risk of being the next Mag7 member to fall into a bear market. As of Friday's close, it was down 19.6% from last year's high, just 0.4% away from the bear market threshold of a 20% decline.

QWhat potential financial pressure does Amazon face due to its increased capital expenditure in AI?

AThe increase in capital expenditure levels could lead Amazon's free cash flow to turn negative this year, meaning the company may need to raise more capital by entering the debt market.

Leituras Relacionadas

Dan Koe: The Counterintuitive Truth—You Don't Need to Remember Everything You Read

Dan Koe: The Counterintuitive Truth — You Don't Need to Remember Everything You Read The central idea is that deliberately trying to remember information is often misguided. True learning isn't about memorizing facts but about having important knowledge surface naturally when needed through use. Most forgetting is normal, not a failure. The article reframes learning using a control theory framework—a four-step feedback loop: having a clear Goal, accurately Sensing your current state, Comparing the gap, and Acting to close it. Most learning stalls because people only do step 2 (blind input) without a goal to create the necessary "error signal" for focused action. The most effective method is to start with output, not input. Begin a meaningful personal project first, and learn only what's necessary to complete it. This project-driven, "just-in-time" learning ensures knowledge is contextual and retained. The concept of a "Second Brain" often fails because it becomes a digital graveyard—over-collected and under-utilized. The goal should be building a "Second Subconscious"—a dynamic system that proactively surfaces relevant ideas during creation, not a static storage vault. Tools like Obsidian+Claude or Eden can help by automating organization and enabling semantic search, but their value depends on linking knowledge to active projects. Ultimately, what matters is not what you store, but what you filter and internalize. Focus on ideas that shape your worldview, use projects as filters, and transform collected material through writing and sharing. AI should be used to reduce friction in research and editing, not to formulate your core views. In conclusion, remembering is a byproduct, not the goal. Knowledge that sticks comes from pursuing personal goals, applying it in real projects, and digesting it through creation. The tools are merely aids; the crucial step is to start doing meaningful work and let the necessary knowledge find you.

marsbitHá 49m

Dan Koe: The Counterintuitive Truth—You Don't Need to Remember Everything You Read

marsbitHá 49m

A New Era: The Fundamental Transformation of China's Entrepreneurs

A profound generational shift is underway among Chinese entrepreneurs. The wealth and influence once dominated by real estate and internet giants is now being claimed by a new wave of founders driving breakthroughs in AI, semiconductors, and robotics. This change is vividly reflected in 2026's wealth rankings. Figures like Zhang Yiming (ByteDance), Liang Wenfeng (DeepSeek), Chen Tianshi (Cambricon), and Wang Xingxing (Unitree Robotics) are ascending. Their wealth stems not from traditional business models but from market expectations for future technological competitiveness, with AI, chips, and smart hardware becoming the primary engines of wealth creation. Their common trait is a foundational focus on technology, often starting from the laboratory rather than a business plan. Examples include Chen Tianshi's decade-long push in AI chips, Liang Wenfeng's core algorithmic innovations at DeepSeek with a compact team, and Zhu Yiming's "no salary until profitable" 9-year journey to build Changxin Memory into a global DRAM player. This transition marks a fundamental shift in China's economic imperative: from commercial expansion and learning to indigenous innovation and deep industrial capability. While the previous generation built the foundational market and infrastructure, this new cohort is tasked with achieving global leadership in core technologies, moving China from "keeping pace" to pioneering original, breakthrough innovations that are industrialized at scale. The baton is being passed to those competing on the world stage through technological originality.

marsbitHá 49m

A New Era: The Fundamental Transformation of China's Entrepreneurs

marsbitHá 49m

Once-Popular Web3 Enters Wave of Layoffs

The once-hot Web3 industry is experiencing a severe wave of layoffs. While many companies attribute job cuts to AI-driven restructuring, the primary reason is often financial pressure. The Web3 sector, at the intersection of tech and finance, has been hit particularly hard. Employees at major cryptocurrency exchanges report sudden, impersonal layoffs—often with system access revoked overnight—and minimal or no severance. Common tactics include setting impossible performance targets or terminating employees for minor policy violations. The working atmosphere has become toxic, marked by intense monitoring, excessive meetings, and management obsessed with control and internal politics rather than product innovation. The industry's core business model is collapsing. Exchange revenue from trading fees and listing charges has plummeted due to a decline in quality projects and retail investor exodus. Events like the massive forced liquidation on October 10th further shattered confidence. Competition from on-chain derivatives platforms and prediction markets is intensifying the downturn. As layoffs continue, displaced workers struggle to find new opportunities. Many transition to the AI sector, but face significant bias from traditional finance and even some AI firms, which view crypto industry experience with suspicion. The current downturn appears more structural than cyclical, driven by unsustainable practices, internal strife, and a failure to innovate, raising questions about the industry's future trajectory.

marsbitHá 1h

Once-Popular Web3 Enters Wave of Layoffs

marsbitHá 1h

Trading

Spot
活动图片