Play offense in bull markets.Most investors fail to take real advantage of the types of moves we’ve seen this year for one simple reason: they’re not bullish enough.That’s because we remain in the midst of one of the most important technological revolutions of our time. And the AI boom is (and will continue to be) backed by corporate earnings, which as we know, are one of the most important drivers of stock market returns over time.Back in the late ‘90s, the dot-com bubble portrayed several alarming charact ...

Core Insights - Eli Lilly and Nvidia are collaborating to create the pharmaceutical industry's most powerful supercomputer and AI factory to enhance drug discovery and development [1][2] - The partnership aims to reduce the time and costs associated with bringing new drugs to market, which typically takes about 10 years [2] - Eli Lilly expects the supercomputer and AI factory to be operational by January 2026, with significant benefits anticipated by 2030 [3] AI and Drug Discovery - The pharmaceutical industry's use of AI is still in its early stages, with no AI-designed drugs currently on the market, but there is progress in AI-discovered drugs entering clinical trials [4] - The supercomputer will utilize over 1,000 Nvidia Blackwell Ultra GPUs, creating a high-speed network to support AI model development for drug discovery [5] - Eli Lilly's Chief AI Officer described the supercomputer as a novel scientific instrument that will enable unprecedented scale in drug discovery [6] Opportunities and Platforms - The new tools will focus on discovering new molecules, which is seen as a significant opportunity for the industry [7] - Eli Lilly launched the Lilly TuneLab platform to provide biotech companies access to AI models trained on its proprietary research, valued at $1 billion [7][8] - The TuneLab platform employs federated learning, allowing companies to utilize AI models without directly sharing data [9] Precision Medicine - The company aims to support researchers with new AI agents and advanced medical imaging to develop new biomarkers for personalized care [10] - Precision medicine is a key goal, tailoring treatment based on individual genetic and lifestyle differences, which requires a robust AI infrastructure [11]

Core Insights - Nvidia continues to experience strong demand, particularly in AI chip production, as indicated by TSMC's recent report highlighting "insane" numbers and accelerating AI demand [1] - The competitive landscape is evolving, with companies like AMD and Broadcom showing positive developments, yet Nvidia's stock reactions suggest a zero-sum sentiment in the market [1][4] - The market is still in the early stages of AI adoption, with significant opportunities for all players, including Nvidia, AMD, and Broadcom, to grow their chip sales [1][5] Company-Specific Insights - Nvidia is recognized as the leader in the AI buildout space, offering a comprehensive system of networking software and hardware, with flexible GPUs suitable for various workloads [1] - Broadcom is focusing on custom AI accelerators, which may optimize costs for hyperscalers, although there are questions about the necessity of customizing workloads at this early stage [1][4] - AMD is also positioned to capture market share, particularly with Oracle's recent order of 50,000 of AMD's next-generation chips, indicating ongoing demand for their products [4][5] Industry Trends - The demand for GPUs remains strong as enterprises explore the integration of generative AI to enhance productivity and product offerings [2][3] - Custom chips are becoming increasingly relevant for hyperscalers looking to optimize costs, suggesting a shift in strategy as the industry matures [4] - The proliferation of AI services is driving the need for diverse chip solutions, with different workloads requiring tailored infrastructure [1][4]

Group 1 - NVIDIA Corporation is recognized as a stock to buy by Ray Dalio's Bridgewater Associates, highlighting its investment potential [1] - Microsoft Azure has launched the NDv6 GB300 VM series, marking the first production-scale deployment of NVIDIA's GB300 NVL72 systems [1] - The GB300 NVL72 Supercluster, powered by over 4,600 NVIDIA Blackwell Ultra GPUs, is designed for OpenAI's demanding AI workloads, showcasing NVIDIA's leadership in AI infrastructure [2] Group 2 - Each rack of the supercluster features NVIDIA's liquid-cooled GB300 NVL72 system, which combines 72 Blackwell Ultra GPUs and 36 Grace CPUs, delivering 1.44 exaflops of FP4 performance and 37 TB of fast memory per VM [3] - NVIDIA's full-stack AI platform and advanced networking architecture set new benchmarks in throughput and scalability, reinforcing its role in AI supercomputing [3] - NVIDIA is a global leader in accelerated computing, designing GPUs and system-on-chip units for various applications including gaming, data centers, AI, and autonomous vehicles [4]

Core Insights - Nebius Group N.V. (NBIS) is trading at $135.46, nearing its 52-week high of $141.10, with a 48.9% increase in the past month, outperforming the Zacks Computer & Technology sector and the Zacks Internet Software Services industry [1][8] - The stock is above its 50-day and 100-day moving averages, indicating a bullish trend [2] Company Performance - Nebius has benefited from the growth in AI infrastructure, with revenues more than doubling from the first quarter and achieving EBITDA positivity in its core AI infrastructure business ahead of projections [4] - In Q2, NBIS revenues surged 625% year over year to $105.1 million, with AI cloud infrastructure revenues growing more than nine times year over year [5] - The company secured a $17.4 billion deal with Microsoft for GPU capacity, potentially increasing to $19.4 billion with additional services [10][8] - Nebius has raised its annualized run rate (ARR) outlook to $900 million-$1.1 billion and reaffirmed revenue guidance of $450 million-$630 million for 2025 [8][13] Market Position and Strategy - Nebius is expanding its global footprint with capacity in the U.S., Europe, and the Middle East, and has partnerships with major tech firms like Cloudflare, Prosus, and Shopify [11][12] - The company launched NVIDIA GB200 capacity in Europe and deployed Blackwell Ultra GPUs in the U.K., benefiting from the growth of AI and high-performance computing [12] - Nebius expects a significant increase in sales by year-end due to the ramp-up of data center capacity and the introduction of Blackwell GPUs [13] Competitive Landscape - Despite its strong market position, Nebius faces competition from other players in the AI cloud infrastructure space, including CoreWeave, which is targeting over 900 MW of active power by year-end [14] - The current high valuation of Nebius, with a forward 12-month P/S ratio of 20.42, exceeds the industry average of 4.73, presenting a potential risk [15]

Core Insights - Microsoft Azure has launched its first large-scale deployment of Nvidia's GB300 NVL72 systems, which includes over 4,600 Blackwell Ultra GPUs [2] - The deployment is part of a broader strategy to scale operations to hundreds of thousands of systems in the future [2] Company Developments - The integration of Nvidia's advanced GPU technology into Microsoft Azure signifies a significant enhancement in cloud computing capabilities [2] - This move positions Microsoft Azure to better compete in the cloud services market, particularly in high-performance computing [2] Industry Trends - The collaboration between Microsoft and Nvidia reflects a growing trend in the tech industry towards leveraging advanced GPU technology for cloud services [2] - The deployment of such large-scale systems indicates an increasing demand for high-performance computing solutions across various sectors [2]

Core Insights - Nebius Group N.V. (NBIS) is aggressively scaling to meet the rising demand for AI compute, positioning itself as a significant player in the global AI infrastructure market. The company has reported more than a doubling of revenues from the first quarter and has achieved EBITDA positivity in its core AI infrastructure business ahead of projections. The rapid expansion of data centers is crucial to Nebius' growth strategy [1][11]. Expansion Plans - By the end of this year, Nebius expects to secure 220 megawatts (MW) of connected power for GPU deployment, with major data centers in New Jersey and Finland. Two additional greenfield data center projects in the US are nearing completion, indicating the company's commitment to scaling aggressively to meet AI compute demand. Overall, Nebius aims to secure over 1 gigawatt (GW) of power by the end of 2026 [2][11]. - The company plans to launch its first major GPU cluster facility in the UK, located just outside London, expected to come online in early Q4. This facility marks a significant milestone in Nebius' global expansion, with the anticipation of being the first provider to deliver Nvidia's B300 GPUs to the UK market [3]. Strategic Partnerships - Nebius has closed a deal with Microsoft Corporation (MSFT) worth $17.4 billion, which involves providing dedicated GPU capacity from a new data center in Vineland, NJ, starting later this year through 2031 [4]. Market Position and Competitors - Nebius is building a global footprint with capacity in the United States, Europe, and the Middle East. In June, the company launched NVIDIA GB200 capacity in Europe and deployed Blackwell Ultra GPUs in the UK. By Q1 2025, Nebius plans to add three new regions, including a strategic data center in Israel [5]. - The company expects a sharp increase in sales by year-end due to the market entry of Blackwell GPUs and significant ramp-up in data center capacity. Consequently, Nebius has updated its year-end annualized run rate (ARR) guidance from the previous range of $700 million–$1 billion to a new range of $900 million–$1.1 billion [6]. Financial Performance - Shares of Nebius have surged 351% year to date, significantly outperforming the Internet – Software and Services industry's growth of 43.1% [12]. - In terms of valuation, NBIS shares are trading at a price/book ratio of 7.8X, compared to the industry's ratio of 4.66X [13]. - The Zacks Consensus Estimate for NBIS' 2025 earnings has seen an upward revision over the past 30 days [14].

Core Viewpoint - The Vanguard Growth ETF has consistently outperformed the S&P 500, with a return of 16.3% year-to-date compared to the S&P 500's 13.2% [2][3]. Group 1: ETF Performance - The Vanguard Growth ETF has outperformed the S&P 500 every year since its inception in 2004 [2]. - The ETF has delivered a compound annual return of 11.9% since 2004, surpassing the S&P 500's average annual gain of 10.4% [10]. Group 2: Investment Strategy - The Vanguard Growth ETF invests in the top 85% of U.S. listed companies by market value, focusing on high-growth stocks [4]. - The ETF holds only 165 stocks, indicating a high concentration of wealth, with the top five holdings representing a combined market capitalization of $15.8 trillion [5]. Group 3: Key Holdings - The top five holdings in the Vanguard ETF are Nvidia, Microsoft, Apple, Amazon, and Broadcom, with Nvidia having the highest weighting at 12.29% [5]. - These top five stocks have delivered an average return of 20% this year, significantly higher than the S&P 500 [5]. Group 4: AI Sector Influence - Nvidia and Broadcom are leading suppliers of chips for data centers, with Nvidia's GPUs being highly sought after for AI workloads [7]. - Microsoft and Amazon are major providers of cloud services and AI software, with their platforms supporting AI development [8]. - The Vanguard ETF also includes other prominent AI stocks like Meta Platforms, Alphabet, and Palantir Technologies, while maintaining some diversification with non-tech stocks [9]. Group 5: Future Outlook - The AI boom is expected to drive stock market returns, with significant investments projected in AI infrastructure, estimated at $4 trillion by 2030 [12]. - The ETF's sector-agnostic approach ensures that it will continue to invest in the largest growth stocks, regardless of industry performance [13][14].

Core Insights - Leading tech companies are investing heavily in data centers to meet the rising demand for AI compute capacity, with Nvidia projecting AI infrastructure spending to reach $3 trillion to $4 trillion by 2030 [1][9] Company Analysis: Nvidia - Nvidia is recognized as the top chip stock to capitalize on the AI opportunity, maintaining its status as the most valuable company globally due to its leading graphics processing units (GPUs) [3] - The latest Blackwell chips from Nvidia are seeing strong demand, with a 17% sequential growth in the most recent quarter, contributing to a total revenue increase of 56% year-over-year [4] - Major tech companies such as Meta Platforms, Amazon, and Google Cloud are among Nvidia's largest customers, with Google planning to invest $85 billion in data centers and technology this year [5] - The transition to Nvidia's new Blackwell GB300 is described as a "seamless" upgrade, featuring a liquid-cooled rack that accommodates 72 Blackwell Ultra GPUs and 36 Arm-based Nvidia Grace CPUs [6] - Large data centers utilize thousands of these racks for AI training and inference workloads, presenting significant long-term growth opportunities for Nvidia, as noted by CFO Colette Kress [7] - Nvidia boasts a trailing-12-month net income of $86 billion, indicating high profitability, with expectations for substantial earnings growth as AI infrastructure spending increases [8]

Core Viewpoint - The article discusses the contrasting views on artificial intelligence (AI) among Wall Street analysts, highlighting potential risks for two trillion-dollar AI stocks, Nvidia and Tesla, despite the overall optimism surrounding AI's transformative potential in various industries [1][2][3]. Group 1: Nvidia - Nvidia is recognized as the world's largest publicly traded company and dominates the AI-graphics processing unit (GPU) market, with a significant backlog and pricing power [6][7]. - Despite widespread bullishness, one analyst, Jay Goldberg, has a sell rating on Nvidia with a price target of $100, suggesting a potential downside of 44% [8]. - Concerns include the historical tendency for early-stage investment trends to experience bubble bursts and the risk of top customers developing their own AI-GPUs, which could impact Nvidia's market share [9][10]. Group 2: Tesla - Tesla, which integrates AI solutions into its electric vehicles, faces a potential downside of 95%, with a price target set at $19.05 by analyst Gordon Johnson [12][14]. - Critiques of Tesla include skepticism about its ancillary projects, lower-margin hardware sales, and a high valuation compared to traditional automakers, with a P/E ratio estimated at 234 times forecast earnings per share in 2025 [15][17]. - Governance issues, including CEO Elon Musk's history of overpromising and underdelivering, contribute to concerns about Tesla's stock value, as unfulfilled promises may lead to significant declines [19][20].