​Snowflake Inc. (NYSE:SNOW) is one of the Best Stocks to Buy and Hold for 2026. On December 16, TD Cowen reiterated a Buy rating on the stock, with a $134 price target. A day earlier, on December 15, Simon Leopold from Raymond James resumed Snowflake Inc. (NYSE:SNOW) with a Buy rating but lowered the price target from $274 to $250. ​Analysts from TD Cowen noted that they like the company’s improved execution and reduced risks on the balance sheet. In addition, the firm also likes the company’s transition ...

Summary of Key Points from the Conference Call Industry Overview - The conference call focuses on the **US Technology Equities** sector, particularly the **software and AI** landscape, highlighting the transition towards AI productization expected by **2026** [1][2]. Core Insights - **AI Productization Timeline**: 2026 is projected as the pivotal year for AI productization within enterprise software, moving from early-stage deployment to widespread enterprise integration [1][2]. - **Current AI Deployment Challenges**: Companies are still in the early stages of AI experimentation, facing challenges in hiring skilled talent and achieving meaningful results from initial projects [1][2]. - **Shift in Investment Focus**: There is a notable shift from hardware to software investments as companies begin embedding AI into their existing workflows, with significant advancements seen in companies like **Oracle, Microsoft, Salesforce, and ServiceNow** [1][2][5]. - **Monetization Visibility**: Vendors controlling structured enterprise processes are expected to have improved monetization visibility as AI becomes a value-added feature in their product suites [2]. Financial Performance Highlights - **Q3 Earnings Performance**: Most companies reported modest revenue beats but significant improvements in non-GAAP operating income and EPS, indicating early economic benefits from AI deployments [7][9]. - **Revenue Growth Constraints**: Despite increased interest in AI, enterprise budget expansions remain modest, limiting revenue growth [9]. - **Profitability Boost from AI**: AI-driven efficiencies are enhancing unit economics, leading to higher non-GAAP operating income and EPS, even without substantial revenue increases [9]. Company-Specific Insights - **Preferred AI Stocks**: The report identifies **Oracle (ORCL), Microsoft (MSFT), ServiceNow (NOW), and Salesforce (CRM)** as preferred stocks likely to benefit from their strategic positioning in the AI landscape by 2026 [2][5]. - **Earnings Revisions**: Companies like **Microsoft** and **Palantir** have seen significant upward revisions in revenue and EPS forecasts, reflecting strong AI-related demand [13][14]. - **CoreWeave's Performance**: CoreWeave reported revenue of **USD 1,365 million** for Q3, exceeding consensus but below estimates, with concerns about asset turnover and future guidance indicating potential revenue decline [18][19]. Market Dynamics - **AI Infrastructure Demand**: The demand for AI infrastructure and data workloads is solid, with companies like **Oracle and CoreWeave** aggressively scaling capacity [15]. - **Investor Sentiment**: There is a growing investor focus on how companies will deploy AI to solve business problems, with many still not fully recognizing the link between AI deployment and enterprise software [2]. Conclusion - The technology sector is on the brink of a significant transformation driven by AI, with 2026 expected to be a critical year for monetization and integration into enterprise workflows. Companies that are well-positioned in the software space are likely to capitalize on this trend, while challenges remain in the broader economic environment and enterprise budget constraints.

Snowflake Inc. (NYSE:SNOW) ranks among the best high growth stocks to buy now. Bernstein boosted its price target for Snowflake Inc. (NYSE:SNOW) to $237 from $221 on December 4 while retaining a Market Perform rating after the company’s third-quarter fiscal 2026 results. The cloud data company boosted its fiscal year 2026 guidance by roughly 1.5%, which was ahead of expectations, though consistent with past trends, and announced revenue that exceeded estimates by 3%. Meanwhile, strong consumption and ent ...

Snowflake Inc. (NYSE:SNOW) is one of the stocks Jim Cramer recently discussed. Noting that the stock has been down recently, a caller asked what was wrong with the stock, and Cramer replied: “Okay, what’s wrong with Snowflake is it’s in a cohort that’s going down, and it’s in baskets that are going down, and it’s considered to be AI, which is going down because everybody who’s saying, ooh, maybe there’s a bubble, the bubble popped, idiots. It popped at the end of October, and I’ve watched these stocks all ...

Core Insights - Snowflake's BUILD event represents a significant platform for discussing cloud architecture, large-scale parallel computing, and data processing in the Data + AI field [3][4] - The introduction of BUILD in China signifies the integration of international technology with the local developer ecosystem, highlighting the importance of Chinese developers in global innovation [5] Group 1: Event Overview - The BUILD event is a tribute to the core developer activity of building, evolving into a leading platform for cloud and data discussions [3] - BUILD is not just a conference name; it symbolizes extreme performance and limitless scalability in the Data + AI sector [4] Group 2: Developer Empowerment - The event showcases practical cases from top global experts, focusing on topics like Agentic AI and multi-modal data processing, providing developers with insights from concept to prototype [7] - BUILD aims to accelerate the transition from development to production for Chinese developers, offering tailored solutions for various application scenarios [7] Group 3: Future Engagement - The upcoming BUILD 2025 event will further engage the Chinese technical community, providing insights into how Snowflake empowers business growth in the AI era [9] - Snowflake's AI data cloud is already utilized by 766 of the Fortune Global 2000 companies, indicating its significant role in helping businesses innovate and derive value from data [10]

Core Insights - ExecAtlas, powered by Equilar, has been designated as a launch partner for Snowflake Intelligence, which is Snowflake's enterprise intelligence agent [1] Company Summary - ExecAtlas is collaborating with Snowflake to enhance enterprise intelligence solutions [1] - The partnership aims to leverage Snowflake's capabilities in data management and analytics [1] Industry Summary - The collaboration signifies a growing trend in the industry towards integrating advanced data intelligence solutions [1] - Snowflake's enterprise intelligence agent is expected to provide enhanced insights and analytics for businesses [1]

"This investment underscores Snowflake's commitment to enabling enterprises with a unified, governed foundation for data, analytics, and AI," said Harsha Kapre, Head of Snowflake Ventures. "As organizations continue to centralize data in Snowflake, partnering with AtScale helps our joint customers maintain consistent business logic and semantic definitions throughout their analytics and AI workflows, delivering performance and enhanced accuracy at scale." AtScale will continue to support the industry's wide ...

Snowflake Inc. (NYSE:SNOW) is one of the Top AI and Technology Stocks to Buy According to Hedge Funds. On December 3, the company released its financial results for Q3 2026, with revenue coming at $1.21 billion, reflecting 29% YoY growth amidst 29% YoY growth in product revenue to $1.16 billion. Snowflake (SNOW) Releases Financial Results for Q3 2026 Snowflake Inc. (NYSE:SNOW)’s product revenue rose $258.1 million and $726.6 million for 3 and 9 months ended October 31, 2025 on a YoY basis, respectively, ...

Investors with a lot of money to spend have taken a bearish stance on Snowflake (NYSE:SNOW).And retail traders should know.We noticed this today when the trades showed up on publicly available options history that we track here at Benzinga.Whether these are institutions or just wealthy individuals, we don't know. But when something this big happens with SNOW, it often means somebody knows something is about to happen.So how do we know what these investors just did? Today, Benzinga's options scanner spotted ...

Core Insights - Despite the ongoing rise of artificial intelligence technology, the large-scale deployment of enterprise AI applications is progressing slowly, with only 17% of surveyed companies achieving large-scale production, a slight increase from 14% in March 2023 [1] Group 1: Market Leaders and Trends - Microsoft, OpenAI, and Nvidia continue to dominate the enterprise AI market, with Microsoft Azure leading in cloud infrastructure and OpenAI's GPT models occupying three of the top five spots in large language models [3] - Microsoft M365 Copilot remains the preferred enterprise AI tool, although OpenAI's ChatGPT commercial version is rapidly closing the gap [3][10] - The survey indicates a significant preference for self-built AI applications, with 60% of companies opting for a hybrid model of self-building or fully self-building, compared to only 34% relying entirely on third-party software vendors [4][5] Group 2: Deployment Challenges and Workforce Impact - The main challenges for AI deployment include unclear ROI, cited by 59% of respondents, up from 50% in March 2023, followed by compliance concerns (45%) and a lack of internal expertise (43%) [3] - AI applications are not leading to mass layoffs; 40% of companies expect AI to drive employee growth, while only 31% anticipate a reduction in workforce [3] Group 3: AI Agent Deployment and Market Outlook - The deployment of AI agents is still in its early stages, with only 5% of companies achieving large-scale production, while 71% are in pilot or small-scale production phases [9] - The slow progress in AI agent deployment supports the view that AI agents will not significantly replace human labor in the short term, and investors should maintain realistic revenue expectations for related technology suppliers [9] Group 4: Data Infrastructure and Spending Trends - There is a notable increase in demand for data infrastructure driven by AI projects, with an average of 52% of respondents expecting to increase spending across various data software categories [12] - The cloud data warehouse sector is expected to benefit significantly, with 69% of respondents anticipating increased spending, and 25% expecting substantial growth [12][14] - In contrast, the operational database sector shows a more moderate AI-driven spending increase, with only 10% of respondents expecting significant growth [14]