Snowflake Shares Jump After Strong Earnings and Massive AWS AI Deal

Snowflake raised its annual product revenue forecast after reporting stronger-than-expected quarterly results driven by surging enterprise demand for artificial intelligence applications and cloud data services. The cloud-based data analytics company said businesses are increasingly shifting workloads to Snowflake’s platform as they expand AI adoption and modernize infrastructure.

The company increased its fiscal 2027 product revenue forecast to $5.84 billion, up from a previous estimate of $5.66 billion. Snowflake also projected second-quarter product revenue between $1.415 billion and $1.420 billion, exceeding Wall Street expectations. First-quarter revenue reached $1.39 billion, ahead of analyst estimates of approximately $1.32 billion.

Executives said growing enterprise investment in generative AI and machine learning tools significantly boosted demand for Snowflake’s platform. Companies are increasingly using Snowflake to manage, analyze and process large datasets required for AI models and automation systems. Reuters reported that migrations from legacy data systems and broader use of AI tools helped strengthen Snowflake’s growth momentum.

Snowflake CEO Sridhar Ramaswamy said AI demand is accelerating adoption of the company’s core data infrastructure products. He emphasized that businesses require secure and scalable data platforms capable of supporting AI applications across large organizations. Analysts noted that Snowflake’s consumption-based business model positions the company to benefit directly from rising AI-related computing workloads.

The strong results triggered a sharp rally in Snowflake shares. Reuters reported that the stock surged about 36% in extended trading following the earnings release and forecast increase. Investors viewed the results as evidence that enterprise AI spending remains strong despite broader concerns about economic uncertainty and technology valuations.

The earnings report also reinforced broader optimism surrounding AI-focused software companies. Analysts said Snowflake’s results reflected continuing enterprise willingness to spend heavily on cloud infrastructure and AI capabilities even as businesses remain cautious in other technology areas.

Snowflake Signs Massive $6 Billion AWS Agreement

One of the biggest announcements accompanying Snowflake’s earnings report was a new $6 billion agreement with Amazon Web Services. The five-year deal significantly expands Snowflake’s partnership with AWS and deepens cooperation around artificial intelligence infrastructure and cloud computing services.

According to Reuters and CNBC, Snowflake committed to spending approximately $6 billion on AWS infrastructure over the next five years. The partnership includes expanded use of Amazon’s Graviton processors and deeper integration involving generative AI and agentic AI services.

AWS Graviton chips are Amazon’s custom Arm-based processors designed to improve performance and reduce computing costs for cloud workloads. Snowflake executives said the chips will help optimize AI and data-processing workloads while improving efficiency across the company’s cloud platform.

The expanded partnership also strengthens Snowflake’s relationship with Amazon at a time when competition in cloud computing and AI infrastructure continues intensifying. Snowflake operates across AWS, Microsoft Azure and Google Cloud, but the new agreement reinforces AWS as one of its most important strategic partners.

Executives said the deal will support enterprise migration of AI workloads to Snowflake’s platform through AWS Marketplace and other integrated services. Reuters reported that the partnership includes joint go-to-market initiatives aimed at helping businesses deploy AI systems more efficiently.

Industry analysts described the agreement as another sign of the enormous infrastructure investments currently driving the AI sector. Cloud providers and enterprise software companies are increasingly signing multibillion-dollar deals tied to AI computing demand, data storage and machine learning deployment.

The AWS deal also highlighted how AI competition is reshaping relationships across the cloud industry. Rather than competing purely on software, companies increasingly focus on integrated ecosystems combining cloud infrastructure, AI tools and enterprise data platforms.

AI Becomes Central to Snowflake’s Growth Strategy

Artificial intelligence has become the central driver of Snowflake’s broader business strategy. Executives said enterprise customers are increasingly adopting Snowflake’s AI-focused tools such as Cortex Code and Snowpark to build and manage machine learning applications.

Snowflake has aggressively expanded AI features since Sridhar Ramaswamy became CEO in 2024. The company positioned itself as a core infrastructure provider for businesses seeking to deploy generative AI while maintaining control over sensitive corporate data.

Analysts said enterprise AI adoption requires large-scale data management systems that are able to securely aggregate information from multiple sources. Snowflake’s platform allows companies to centralize data while supporting AI training, analytics and automation applications.

The company also benefited from broader industry trends involving migration away from legacy on-premises databases toward cloud-native data infrastructure. Reuters reported that increased workload migration contributed significantly to Snowflake’s stronger financial performance.

Barron’s noted that investors increasingly view Snowflake as well positioned for the AI era because of its consumption-based model. As customers process more AI-related workloads and data queries, Snowflake generates additional revenue directly tied to platform usage.

Snowflake has additionally expanded research and development around AI systems and infrastructure optimization. The company’s AI research teams recently published work focused on GPU kernel generation and production inference systems aimed at improving AI deployment performance.

Executives said businesses are moving beyond experimentation and increasingly deploying AI applications across real-world operations. Snowflake argued this shift creates long-term demand for scalable data infrastructure capable of supporting enterprise-grade AI systems securely and efficiently.

Investors See Snowflake as a Major AI Infrastructure Winner

The market reaction to Snowflake’s earnings reflected growing investor confidence that the company could emerge as one of the biggest software beneficiaries of the AI boom. Shares surged sharply after the results as analysts highlighted accelerating enterprise AI spending and expanding cloud demand.

Investors have increasingly focused on companies providing foundational AI infrastructure rather than only consumer-facing AI applications. Snowflake’s role in enterprise data management places it directly inside the growing ecosystem supporting generative AI deployment across industries.

Analysts also emphasized that Snowflake’s strong results helped ease broader concerns about slowing software spending. The earnings suggested many corporations continue prioritizing AI investments even while controlling costs in other technology areas.

The company’s expanding relationship with AWS further strengthened investor optimism because it demonstrated growing demand for large-scale AI infrastructure partnerships. Many technology firms are now competing to secure long-term cloud capacity and AI computing resources amid rising enterprise adoption.

At the same time, analysts cautioned that competition inside AI infrastructure remains intense. Snowflake faces pressure from Microsoft, Google, Databricks and Oracle, all of which are aggressively expanding enterprise AI offerings.

Despite those challenges, investors appeared encouraged by Snowflake’s ability to translate AI enthusiasm into measurable financial growth. The company’s boosted outlook, better margins and rising enterprise demand supported the view that AI spending is accelerating the transformation of the cloud software industry.