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3 themes that drove Wall Street’s wild week and the new U.S.-Iran conflict wildcard

by Chief Editor
written by Chief Editor

Market Turmoil: AI, Geopolitical Risk, and the Investor Landscape

Stocks experienced significant volatility last week as investors grappled with the dual forces of artificial intelligence disruption and escalating geopolitical tensions. The situation intensified following U.S. And Israeli strikes on Iran, with President Trump calling for regime change. This comes on the heels of ongoing concerns about AI’s impact on the economy, adding another layer of uncertainty to the market.

The Iran Conflict and Oil Price Shocks

The recent military actions in Iran have sent shockwaves through global markets, particularly impacting oil prices. Concerns about potential disruptions to crude supply from the Middle East led to a surge in prices on Friday. This geopolitical risk is compounding existing anxieties about economic stability.

AI Disruption: Job Losses and Sector Rotation

Fears surrounding AI-driven job losses continue to weigh on investor sentiment. A recent report highlighted the potential for significant white-collar unemployment by 2028, triggering a sell-off in financial stocks. This has led to a rotation away from high-growth chip stocks towards more defensive sectors like enterprise software, though even that sector is facing disruption.

Fintech firm Block’s recent layoffs, cutting nearly half its workforce, further fueled these concerns. The S&P 500 and Nasdaq both experienced their worst monthly losses since March 2025 in February, declining nearly 1% and 3.4% respectively.

Chipmakers Under Pressure, AI Industrials Rise

Despite strong quarterly results, Nvidia shares fell sharply last week, reflecting a broader market correction in the chip sector. Broadcom followed suit, indicating a shift in investor preference. Conversely, companies benefiting from the infrastructure supporting AI, such as Corning (fiber optic cables) and Qnity Electronics (materials for AI chips), saw significant gains. Qnity Electronics, boosted by a strong earnings report following its split from DuPont, was the biggest weekly portfolio winner.

Pro Tip: Pay attention to companies enabling the AI revolution, not just those directly developing AI technologies. The supporting infrastructure is poised for substantial growth.

Software Sector Swings and Cybersecurity Concerns

Salesforce experienced a rebound following a period of underperformance, aided by better-than-expected earnings and positive commentary on its AI-powered Agentforce platform. However, concerns remain about the long-term impact of AI on Salesforce’s traditional software-as-a-service model. Cybersecurity firms CrowdStrike and Palo Alto Networks faced headwinds after Anthropic announced a latest cybersecurity tool, raising competition concerns.

Financials Face Headwinds

The viral research report predicting widespread white-collar job losses due to AI adoption set pressure on financial stocks. Capital One, Wells Fargo, and Goldman Sachs all declined following the report’s publication. However, some investors viewed the weakness as a buying opportunity.

Did you know? The market often overreacts to initial reports, creating opportunities for long-term investors.

The Trump-Anthropic Conflict: A New Layer of Risk

President Trump’s recent directive to U.S. Government agencies to cease using Anthropic’s AI tools, coupled with the designation of the company as a national security threat, adds another layer of complexity to the AI landscape. This stems from Anthropic’s refusal to grant the military unbridled access to its technology. This action highlights the growing tension between AI innovation and national security concerns.

Looking Ahead: Key Earnings and Data Releases

Investors will be closely watching Broadcom’s earnings report this week. CrowdStrike’s earnings release is also on the horizon. Key economic data, such as the producer price index, will continue to influence market sentiment.

Frequently Asked Questions

  • What is driving the recent market volatility? The primary drivers are concerns about AI-driven job losses and escalating geopolitical tensions, particularly related to the conflict in Iran.
  • Which sectors are currently favored by investors? AI infrastructure companies are currently favored, while chipmakers are facing headwinds.
  • What is the significance of the Trump-Anthropic conflict? It highlights the growing tension between AI innovation and national security concerns, and could impact the broader AI industry.
  • How are oil prices being affected? Oil prices have surged due to concerns about potential supply disruptions from the Middle East.

Explore more articles on market analysis and AI investing to stay informed about the latest trends. Subscribe to our newsletter for regular updates and expert insights.

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Entertainment

Nvidia posted another blockbuster quarter. One analyst says the stock is a ‘coiled spring’

by Chief Editor
written by Chief Editor

Nvidia’s AI Dominance: Beyond the Blowout Quarter

Nvidia’s recent earnings report wasn’t just good – it was historic. The chipmaker shattered expectations, reporting $68.13 billion in revenue and adjusted earnings of $1.62 per share for its fiscal fourth quarter. But beyond the numbers, the results signal a deeper trend: Nvidia isn’t just riding the AI wave, it’s shaping it. Analysts are now scrambling to revise their forecasts, with many predicting continued, substantial growth for the AI powerhouse.

The Data Center Drives the Surge

The engine of Nvidia’s success is overwhelmingly its data center business. Revenue in this segment climbed a remarkable 75% year-over-year to $62.3 billion, now accounting for over 91% of total sales. This demonstrates the insatiable demand for Nvidia’s AI chips, powering everything from large language models to complex simulations. UBS analyst Timothy Arcuri noted the revenue guidance of $78 billion exceeded nearly all investor expectations, with demand commentary being exceptionally bullish.

Wall Street’s Reaction: Cautious Optimism

Despite the impressive results, the stock’s initial reaction was muted. While shares jumped over 4% in after-hours trading, they settled for a less dramatic increase in premarket trading. This hesitation stems from concerns about the sustainability of capital expenditures by Nvidia’s clients – the hyperscalers driving much of the demand. Deutsche Bank’s Ross Seymore highlighted this, noting the stock’s valuation hasn’t been fully rewarded due to these concerns. However, Morgan Stanley’s Joseph Moore dismissed these fears, pointing to the clear underlying compute demand.

Looking Ahead: Vera Rubin and Beyond

Investors are now focused on Nvidia’s next-generation rack-scale systems, Vera Rubin, slated for release later this year. Expected to deliver 10 times more performance per watt than the current Grace Blackwell platform, Vera Rubin represents a significant leap forward in AI infrastructure. This continued innovation is a key reason analysts remain bullish on Nvidia’s long-term prospects.

The $500 Billion Question

Nvidia has revised its cumulative Blackwell and Rubin revenue target to over $500 billion for 2025-2026, signaling strong confidence in future demand. This figure underscores the massive investment being made in AI infrastructure across various sectors, including hyperscalers, cloud providers, AI model makers, and even sovereign nations. Partnerships with companies like Meta, Anthropic, OpenAI, and xAI demonstrate Nvidia’s central role in this ecosystem.

GTC 2026: The Next Catalyst?

All eyes are now on Nvidia’s GTC AI conference next month in San Jose. Analysts anticipate major announcements, potentially including updates on the Groq acquisition and showcases of new AI models trained on Blackwell. This event is widely expected to serve as the next catalyst for stock growth.

Analyst Perspectives: A Chorus of Buy Ratings

The overwhelming consensus on Wall Street is to buy Nvidia stock. Goldman Sachs raised its price target to $250, citing clearer paths to outperformance driven by increased hyperscaler CapEx forecasts and visibility into spending by non-traditional customers like OpenAI and Anthropic. JPMorgan increased its target to $265, while Barclays set a lofty $275 target, highlighting the potential for Nvidia to break free from current market paralysis. Citi even went higher, with a $300 target, anticipating positive news from GTC. Bank of America as well raised its price target to $300, emphasizing Nvidia’s dependable supply chain and its position to capture the rapidly growing AI market.

Did you know?

Nvidia is now trading at approximately 19x pre-call Street CY27E EPS, leading some analysts to describe the stock as a “coiled spring” ready for further gains.

FAQ: Addressing Common Concerns

  • Is Nvidia’s growth sustainable? Analysts generally believe so, citing continued strong demand, ongoing innovation, and a dominant market position.
  • What are the biggest risks to Nvidia’s outlook? Concerns about capital expenditure sustainability among hyperscalers remain a key risk factor.
  • What is Vera Rubin? Nvidia’s next-generation rack-scale system, expected to deliver significantly improved performance per watt.
  • What is GTC? Nvidia’s annual GPU Technology Conference, a major event for AI and computing innovation.

Pro Tip: Keep a close watch on Nvidia’s announcements at GTC 2026 for potential catalysts that could drive further stock appreciation.

Want to stay informed about the latest developments in the AI revolution? Subscribe to our newsletter for exclusive insights and analysis.

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Entertainment

Nvidia earnings are out after market close. Here’s what Wall Street expects to see

by Chief Editor
written by Chief Editor

Nvidia’s Reign at $4 Trillion: Can It Weather the Tech Sell-Off?

Nvidia currently stands alone as the last member of the $4 trillion market capitalization club, following the recent dips of Alphabet, Apple, and Microsoft. Investors are keenly watching as the chipmaker prepares to release its fiscal fourth-quarter earnings report on Wednesday, February 25, 2026, amidst a broader market sell-off affecting growth stocks.

The Magnificent Seven: A Shifting Landscape

The tech landscape is undergoing a recalibration. Although Nvidia has seen a 5.6% increase in its stock value year-to-date, other members of the “Magnificent Seven” – a group of leading tech companies – have experienced declines. Microsoft and Alphabet are down approximately 18% and 0.7% respectively. This divergence highlights Nvidia’s current strength, but also raises questions about its ability to maintain its position.

Earnings Expectations and Analyst Sentiment

Wall Street holds high expectations for Nvidia’s earnings. Analysts predict adjusted earnings of $1.53 per share on revenue of $66.2 billion. A significant number of analysts maintain a positive outlook on the stock. Of the 66 analysts covering Nvidia, 23 have a strong buy rating, 38 a buy rating, and only four have a hold rating.

JPMorgan currently has an overweight rating on Nvidia shares, with a year-end price target of $250, representing a potential 29.6% upside from Tuesday’s close. Analysts point to strong AI capital expenditures and ongoing demand for AI compute as key drivers for their bullish outlook.

Valuation and Growth Potential

Nvidia’s valuation is largely based on its projected earnings growth. Its price-to-earnings (P/E) ratio is currently 46.5, but falls to 24.2 when considering future earnings estimates. This is comparable to the S&P 500’s forward P/E ratio of 23.6, suggesting Nvidia isn’t drastically overvalued given its growth trajectory.

With $99.2 billion in trailing-12-month net income, Nvidia is poised to potentially become the world’s largest and most profitable company in the coming years.

Key Catalysts to Watch

Several factors could influence Nvidia’s performance in the near term. Analysts are closely monitoring the ramp-up of Blackwell Ultra rack volumes and accelerating demand for Vera Rubin. Rising memory costs are not expected to be a significant issue due to the robust demand for AI compute.

Upcoming events, such as CEO Jensen Huang’s keynote presentation at a TMT conference and the GTC developer event in mid-March, are expected to provide further insights into the Vera Rubin ramp and potential opportunities from the Groq acquisition.

Analyst Perspectives

  • Morgan Stanley: Overweight rating, $250 price target. Expects Nvidia to trade up on good results, with acceleration in near-term drivers.
  • Wolfe Research: Outperform rating, $275 price target. Nvidia remains their top pick due to its competitive positioning and strong growth runway.
  • HSBC: Buy rating, $310 price target. Believes demand for GB200/GB300 racks will remain solid.
  • RBC Capital Markets: Outperform rating, $245 price target. Forecasting strong Vera Rubin demand and healthy tech capex levels.
  • JPMorgan: Overweight rating, $250 price target. Expects solid demand in PC gaming to offset declines in PC OEM.

Pro Tip

Keep a close eye on Nvidia’s guidance for future revenue and earnings. The company has a strong track record of “beat-and-raise” results, which often drive further upward revisions in estimates.

FAQ

Q: What is Nvidia’s current market capitalization?
A: Approximately $4.58 trillion.

Q: When is Nvidia’s earnings report scheduled?
A: After Wednesday’s close, February 25, 2026.

Q: What is driving the positive sentiment towards Nvidia?
A: Strong demand for AI compute, a compelling valuation, and a history of delivering strong results.

Q: What are the potential risks to Nvidia’s investment thesis?
A: Maintaining its high growth rate as it becomes a larger company.

Q: What is the Blackwell Ultra rack?
A: A key product driving Nvidia’s growth, with analysts expecting a strong ramp in volumes.

Did you know? Nvidia could become not only the largest company in the world but also the most profitable within the next couple of years.

Stay informed about the latest developments in the tech industry. Explore more articles on our website to gain valuable insights and stay ahead of the curve.

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Business

Meta deal for Nvidia chips is a big deal. These 2 charts illustrate why

by Chief Editor
written by Chief Editor

Meta’s AI Bet on Nvidia: A Turning Point for the Chip Industry?

Meta’s expanded partnership with Nvidia, involving a commitment to deploy millions of AI chips – including standalone CPUs – is sending ripples through the semiconductor landscape. This isn’t just a deal; it’s a potential inflection point, signaling renewed confidence in Nvidia’s technology and its central role in the burgeoning AI revolution.

The Shifting Sands of the Semiconductor Market

Recent months have seen investor attention drift from Nvidia towards memory and storage solutions, driven by supply shortages and soaring prices for DRAM, SSDs, and hard drives. Companies like Sandisk, Western Digital, and Micron experienced significant stock gains, while Nvidia’s growth slowed. This shift raised concerns about Nvidia’s competitive edge, particularly with Google’s advancements in custom Tensor Processing Units (TPUs) and potential for external sales.

However, Meta’s substantial investment acts as a powerful counter-narrative. It underscores the enduring value of Nvidia’s intellectual property and its comprehensive platform approach, encompassing CPUs, GPUs, networking, and software. As CNBC’s Jim Cramer noted, focusing solely on upfront costs overlooks the “total cost of ownership” and the long-term value Nvidia delivers.

Beyond GPUs: The Rise of Nvidia’s Full-Stack Solution

The deal’s significance extends beyond the sheer volume of GPUs. Meta will be the first to deploy Nvidia’s Grace CPUs as standalone chips in its data centers, a departure from the traditional server configuration. This, coupled with the adoption of Nvidia’s Spectrum-X Ethernet networking platform and Confidential Computing for WhatsApp, demonstrates Nvidia’s ability to provide a complete, conclude-to-end AI infrastructure solution.

This “total platform commitment” is a key differentiator for Nvidia. It’s not just about providing the processing power; it’s about optimizing every aspect of the AI pipeline, from data transfer to security. Meta’s integration of Nvidia Confidential Computing into WhatsApp highlights the growing importance of data privacy and security in AI applications.

Competition and the Future of AI Infrastructure

While Meta’s commitment is a boon for Nvidia, the competitive landscape remains dynamic. Google’s success with its TPUs and potential to offer them externally continues to pose a challenge. Companies like Advanced Micro Devices (AMD) are vying for market share as alternative providers of AI chips.

However, Meta’s decision suggests that, for now, the benefits of Nvidia’s ecosystem – including performance, scalability, and a mature software stack – outweigh the potential advantages of switching to alternative solutions. It’s similarly important to note that Meta isn’t abandoning its own custom-chip initiatives, indicating a diversified approach to AI infrastructure.

Implications for the Broader Tech Industry

Meta’s move could encourage other companies to reassess their AI infrastructure strategies and prioritize comprehensive solutions over piecemeal approaches. It reinforces the idea that building and maintaining a cutting-edge AI infrastructure requires significant investment and a long-term partnership with a trusted technology provider.

The deal also highlights the growing demand for AI computing power across various industries. As AI models become more complex and pervasive, the necessitate for specialized hardware and optimized infrastructure will only intensify.

FAQ

Q: Will Meta exclusively use Nvidia chips for its AI infrastructure?
No, Meta is likely to continue exploring and utilizing various computing solutions, including its own custom chips and potentially Google’s TPUs, to meet its diverse AI needs.

Q: What is Nvidia Confidential Computing?
Nvidia Confidential Computing provides a secure enclave for data processing, ensuring user data confidentiality and integrity, particularly important for applications like WhatsApp’s private messaging.

Q: What is the significance of Meta deploying Nvidia’s CPUs?
Meta deploying Nvidia’s Grace CPUs as standalone chips is a notable development, as it expands Nvidia’s role beyond GPUs and demonstrates the versatility of its processor technology.

Q: How does Nvidia Spectrum-X Ethernet contribute to AI performance?
Nvidia Spectrum-X Ethernet provides AI-scale networking, delivering predictable, low-latency performance and maximizing utilization, which is crucial for efficient AI workloads.

Did you know? Meta plans to spend up to $135 billion on AI in 2026, with a significant portion of that investment going towards Nvidia’s technology.

Pro Tip: When evaluating AI infrastructure investments, consider the total cost of ownership, including hardware, software, networking, and ongoing maintenance.

What are your thoughts on Meta’s AI strategy? Share your insights in the comments below!

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