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Snowflake (NYSE:SNOW) has entered a multi year, $200 million partnership with OpenAI to bring OpenAI models into its Cortex AI platform.
The deal aims to let Snowflake customers use advanced AI tools directly within the Snowflake environment for their own data and workflows.
Snowflake is also working on AI projects with enterprise and sports organizations, including Wolfspeed and U.S. Figure Skating and Team USA groups.
Snowflake is trying to reset the conversation around its business by leaning into applied AI, even as the share price sits at $157.6. The stock has seen a 24.8% decline over the past 30 days and is down 27.3% year to date, while the 3 year return stands at 1.9%. That mix of short term pressure and modest longer term gain shapes how some investors may view this new partnership with OpenAI.
For investors watching NYSE:SNOW, the OpenAI deal and collaborations with groups like Wolfspeed and U.S. Figure Skating highlight Snowflake’s effort to tie AI more directly to real world use cases. A central consideration is how effectively enterprise clients adopt these integrated AI tools inside the data cloud and whether that adoption influences customer retention, workload growth and overall perception of Snowflake as an AI partner.
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NYSE:SNOW Earnings & Revenue Growth as at Feb 2026
2 things going right for Snowflake that this headline doesn’t cover.
The OpenAI partnership gives Snowflake a clear story to point to around applied AI, because it brings widely used models directly to where customers already keep their data. For you as an investor, the key question is not just the US$200 million headline value, but whether this deepens Snowflake’s role as a core data and AI platform relative to rivals like Microsoft Azure, Amazon Web Services and Google Cloud. The Wolfspeed and Team USA projects add real world examples in manufacturing, sports performance and fan engagement, which can help show other enterprises what is possible with Snowflake Cortex AI and Snowflake Intelligence. Together, these deals suggest Snowflake is trying to make AI workloads “native” to its Data Cloud rather than an add on. This could be important for workload expansion and customer stickiness over time, especially as AI becomes a bigger part of IT budgets.
The OpenAI, Wolfspeed and Team USA agreements line up with the narrative that AI workloads and cloud data modernization can support Snowflake’s long term earnings power by deepening usage of its platform across more functions.
At the same time, the focus on AI-related deals highlights a narrative risk, because the business still faces competitive pressure from hyperscalers and specialized players, so execution on AI monetization needs to match expectations.
The sports collaborations and manufacturing specific AI agents add a sector focused angle that is not fully captured in the broad narrative about enterprise AI adoption and may introduce new use cases and customer types.
Knowing what a company is worth starts with understanding its story. Check out one of the top narratives in the Simply Wall St Community for Snowflake to help decide what it’s worth to you.
⚠️ Analysts have flagged legal and governance related questions in the past, including securities law investigations, which can be a distraction and may affect sentiment if they progress.
⚠️ The company is currently unprofitable and is not forecast to reach profitability over the next 3 years, so sustained investment in AI and partnerships like OpenAI adds to the execution bar.
🎁 Revenue is forecast to grow 17.86% per year, which suggests that if AI workloads and partnerships scale as intended, Snowflake could keep building on its data and AI platform role.
🎁 The shares are described as trading at 28.2% below one estimate of fair value, so successful delivery on AI projects and customer adoption could help close that gap if the thesis plays out.
From here, you might want to watch how quickly Snowflake turns the OpenAI partnership into live, paid use cases across its customer base, and whether Wolfspeed style AI agents in operations become common in other industries. Adoption of Snowflake Intelligence by groups like U.S. Figure Skating and other Team USA organizations can also indicate whether non traditional enterprises see value in the AI Data Cloud for Sports concept. Finally, keep an eye on how these AI partnerships show up in metrics like customer growth, workload expansion and commentary on AI driven consumption on future earnings calls.
To ensure you’re always in the loop on how the latest news impacts the investment narrative for Snowflake, head to the community page for Snowflake to never miss an update on the top community narratives.
This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Companies discussed in this article include SNOW.
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