The war in Iran is setting the tone for the stock market again. Every major index opened Wednesday's session with a downswing, as the military conflict intensified. But after bottoming out around 9:45 a.m. ET, the market mood lightened and the leading index names have been up by at least 0.6% since mid-morning: ^SPX Chart Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidi ...

Steve Eisman called it “incredible” that Nvidia Corp grew revenue 73% in a single year, but the stock closed down anyway. On the Real Eisman Playbook podcast the investor, famous for predicting the 2008 crisism walked through the numbers: fiscal Q4 revenue of $68.1 billion, EPS up 82%, and guidance that beat by a wide margin. “Revenue beat, EPS beat, guidance beat by a lot,” Eisman said. A P/E That Says Everything Eisman pointed to Nvidia’s forward price-to-earnings of roughly 25x despite projecting 67 ...

Quick Read Nvidia (NVDA) and Eli Lilly (LLY, down 7% YTD, forward P/E under 30x) in $1B partnership. Eli Lilly deploys AI for drug discovery via Nvidia partnership and LillyPod supercomputer as biotech provides AI exposure at reasonable valuations. The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE. The market seems to be falling heavily out of love with the AI stocks, and for good reason: CapEx is rising at a staggering rate, especially among the Mag Seven A ...

Core Viewpoint - The article suggests that while AI stocks are experiencing a downturn, biotech stocks, particularly Eli Lilly, present a compelling investment opportunity due to their potential for AI-assisted drug discovery and strong market positions in existing drug markets [1]. Company Analysis - **Eli Lilly (LLY)**: - The stock has seen a decline of approximately 7% year-to-date, but it remains a leader in the GLP-1 drug market with products like Zepbound and Mounjaro [1]. - Eli Lilly's partnership with Nvidia, valued at $1 billion, aims to enhance AI-assisted drug discovery, positioning the company for future growth [1]. - The stock is currently trading at a forward price-to-earnings (P/E) ratio of under 30, which is considered attractive given its potential for AI integration and existing revenue streams from GLP-1 drugs [1]. Industry Insights - The article highlights a shift in investor sentiment away from AI stocks due to rising capital expenditures and concerns over return on investment (ROI) [1]. - Biotech is identified as a sector that could benefit significantly from AI advancements, with the potential for transformative impacts on drug discovery and development processes [1]. - The article emphasizes the importance of diversifying investments into biotech as a counterbalance to the volatility seen in AI-driven tech stocks [1].

Core Insights - Broadcom (AVGO) is set to report its Fiscal Q1 earnings, with Wall Street expecting an adjusted EPS of $2.02 and revenue of $19.1 billion, which is a significant increase from the previous year's revenue of $14.92 billion [1][1] - The focus will be on updates regarding hyperscaler projects and the company's backlog during the conference call, as CEO Hock Tan is known for making bold statements that can impact stock prices [1][1] Financial Expectations - Wall Street estimates for Q1 FY2026 include a Non-GAAP EPS of $2.02, revenue of $19.1 billion, GAAP EPS of $1.42, free cash flow of $10.07 billion, and gross margins of 77.2% [1][1] - The revenue figure aligns with management guidance from the previous earnings call, and consensus estimates suggest a slight increase to $19.14 billion [1][1] Recent Performance - Broadcom's stock is down approximately 8% year-to-date, despite a 2.1% increase on the day of the earnings report, mirroring movements in NVIDIA's stock [1][1] - In the previous quarter, Broadcom reported Q4 FY2025 revenue of $18.02 billion, exceeding estimates by 2.63%, with AI semiconductor revenue increasing by 74% year-over-year [1][1] Key Areas of Focus - Infrastructure software growth is projected at $6.8 billion for Q1, reflecting a modest 2% year-over-year increase, with full-year growth expected in the low double digits [1][1] - The company has a significant AI backlog of $73 billion expected to ship over the next six quarters, and any updates on this figure will be crucial for stock movement [1][1] - Gross margins are anticipated to decline by approximately 100 basis points sequentially, and the management's guidance for AI semiconductor revenue is set at $8.2 billion for Q1, indicating a doubling year-over-year [1][1]

According to Delphi Digital, tokenized TradFi assets hit 31.6% of all Hyperliquid trading volume in late January — up from under 5% just a month earlier. Metals, equity indices, and individual stocks possibly drove the rotation.Oil perpetuals on Hyperliquid reportedly surged nearly 20%. Open interest for commodities-focused derivatives allegedly reached an all-time high above $1.1 billion.Traditional financial markets close on weekends and after hours. Hyperliquid does not. Traders can trade oil, gold, silv ...

Key Takeaways Micron's HBM technology is essential for AI training.Micron has long-term agreements with several AI industry titans.MU has triple-digit growth and a pristine balance sheet.Micron Technology Company OverviewZacks Rank #1 (Strong Buy) stock Micron ((MU) is a leading provider of semiconductor memory solutions. The Idaho-based company manufactures and markets high-performance memory and storage technologies, including Dynamic Random Access Memory (DRAM), NAND flash memory, NOR Flash, 3D Xpoint me ...

Summary of F5 2026 Conference Call Company Overview - **Company**: F5 (NasdaqGS: FFIV) - **Industry**: Networking and Cybersecurity Key Points Industry Trends and Company Positioning - F5 has observed a resurgence in Application Delivery Controller (ADC) use cases, particularly with the rise of hybrid multi-cloud architectures, which has been a significant area of investment for the company [6][7][8] - The complexity of managing applications across multiple environments is increasing, and F5 is positioned as a leading vendor capable of supporting applications in various environments with common security protocols and management tools [8][9] - AI is becoming a critical factor in driving demand, particularly in areas such as API security and data delivery [9][10][15] Demand Inflection and AI Use Cases - F5 identifies three high-opportunity areas related to AI: data delivery, AI security (runtime security), and AI factory load balancing, with notable growth in these segments [15][21] - The partnership with NVIDIA is expected to enhance capabilities in AI factory load balancing, integrating data delivery capabilities into new architectures [21][22] Competitive Landscape and Market Strategy - F5 is focusing on reducing friction in managing complex environments and has introduced flexible commercial models to facilitate service expansion [13][14] - The company is investing in specialized sales forces to better address security and AI use cases, aiming to capitalize on the growing demand in these areas [23][55] Impact of Security Breach - A recent security breach did not significantly disrupt demand; the company maintained a strong pipeline and high close rates during the period following the incident [25][26][29] - The breach has allowed F5 to engage more with Chief Information Security Officers (CISOs), enhancing trust and opening opportunities for broader discussions on security solutions [39][40] Product Refresh and Customer Behavior - There has been a notable acceleration in customers upgrading to the latest software versions, indicating a proactive approach to maintaining current technology [32][34] - The product refresh cycle is expected to continue, driven by AI readiness and the need for enhanced capacity as customers repatriate workloads from public cloud environments [36][37] Data Sovereignty and Market Dynamics - Increased demand for data sovereignty, particularly in Europe, is expected to drive growth as customers seek compliance and resilience in their operations [41][44] - F5 anticipates that this trend will extend to other regions, including the Middle East and Asia Pacific [45] Supply Chain and Pricing Strategy - F5 has taken proactive measures to mitigate risks associated with memory pricing and supply chain disruptions, including extending build forecasts and securing additional suppliers [46][49] - The company is planning price adjustments to offset rising costs, aiming for gross profit neutral scenarios rather than significant markups [52][54] Capital Allocation and Strategic Investments - F5 commits to returning at least 50% of free cash flow to shareholders through share repurchases while maintaining flexibility for strategic investments, including M&A opportunities [57][58] - Investments are being made in expanding the sales force and enhancing partnerships, particularly in AI and security domains [55][56] Internal Use of AI - F5 is leveraging AI internally to improve customer support efficiency and accelerate innovation in engineering, with over 60% of engineers utilizing AI coding capabilities [61][62] Conclusion - F5 is strategically positioned to capitalize on the growing complexity of hybrid multi-cloud environments and the increasing importance of AI in networking and cybersecurity. The company is actively addressing market demands while navigating challenges such as security incidents and supply chain issues.

Artificial intelligence (AI) spending is not showing signs of slowing down. Gartner expects worldwide spending to increase 44% this year to $2.5 trillion. This growth could benefit several companies that offer cloud computing services, advanced chips, and software. Here are three stocks that could benefit most from the AI spending boom. 1. Alphabet (Google) As AI spending stretches into the trillions, the companies providing the backbone infrastructure for cloud services will be obvious winners. Alphabe ...

Summary of Aurora Innovation FY Conference Call Company Overview - **Company**: Aurora Innovation (NasdaqGS:AUR) - **Industry**: Autonomous trucking and logistics - **Mission**: To deliver the benefits of self-driving technology safely, quickly, and broadly [3][4] Core Points and Arguments - **Commercial Operations**: Aurora is the only self-driving trucking company operating driverless on public roads, with operations in Texas, New Mexico, and Arizona [2][4] - **Driverless Miles**: Since launching in April 2025, Aurora has traveled over 250,000 driverless miles without incidents [4] - **Technological Advancements**: The Aurora Driver features unmatched perception and awareness, allowing for 24/7 operation without fatigue, which is expected to redefine safety in logistics [5][6] - **Product Offering**: The core product is the Aurora Driver, which combines advanced hardware, Verifiable AI software, and data services, designed for scalability across multiple vehicle platforms [6][10] - **Market Focus**: The initial focus is on the trucking market, valued at over $1 trillion in the U.S., with plans to expand operations to the Sun Belt in 2026 [10][12] Financial Position - **Liquidity**: Aurora exited the previous year with approximately $1.5 billion in liquidity, expected to sustain operations until reaching positive free cash flow in 2028 [8] - **Business Model**: The driver-as-a-service model is capital efficient, allowing customers to subscribe to the Aurora Driver and pay a per-mile fee, which is projected to be around $0.85 per mile [16][18] Competitive Landscape - **Partnerships**: Aurora has established partnerships with major OEMs like PACCAR and Volvo, which represent about 50% of the market, and is collaborating with Nvidia for advanced computing capabilities [10][11] - **Market Opportunity**: The trucking industry currently traverses over 200 billion vehicle miles annually, with Aurora's driverless network now operating on 10 routes, addressing a market of 3.6 billion vehicle miles [12][23] Cost Efficiency and Value Proposition - **Cost Comparison**: The average cost of human drivers is approximately $2.26 per mile, while Aurora aims to operate at $0.85 per mile, providing significant cost savings and improved margins for customers [18][19] - **Total Cost of Ownership**: Aurora estimates an additional $0.15 in savings from indirect costs associated with human drivers, enhancing the total cost of ownership benefits [19][20] - **Increased Utilization**: Aurora's trucks can operate over 250,000 miles per year, significantly higher than the industry average of 100,000 to 125,000 miles, due to the absence of Hours of Service limitations [21] Future Outlook - **2026 Goals**: The company plans to introduce its second-generation fleet in Q2 2026, aiming to operate over 200 trucks by year-end, which could generate an aggregate run rate of $80 million [23][24] - **Commercial Value**: 2026 is positioned as a pivotal year for unlocking commercial value and scaling operations, with a focus on delivering goods between customer endpoints [15][24] Additional Insights - **Safety and Efficiency**: The Aurora Driver's ability to make life-saving decisions in milliseconds and improved fuel efficiency (currently yielding 15%, with potential to reach 30%) are key differentiators [5][21] - **Market Expansion**: The strategy includes expanding operations to meet customer demands and leveraging mapping technology for enhanced safety and efficiency [14][15]