Snowflake (SNOW) Goldman Sachs Communacopia + Technology Conference 2026 summary

Industry trends and customer adoption

• AI is accelerating data modernization and automating complex migrations, enabling faster transitions for large enterprises, such as completing major migrations in under three quarters, which was previously unheard of.

• Conversations have shifted from technical data management to delivering tangible business value, including automation of processes like invoice processing and supply chain optimization.

• The adoption of AI and coding agents is compressing migration timelines and enabling fixed-cost migrations, driving a shift toward outcome-based services and smaller, more efficient service engagements.

• Customers are ramping up usage faster, with steeper consumption curves, due to AI-driven tools and outcome-based pricing, increasing credibility and urgency among decision-makers.

• The platform is evolving to support open formats and easier migration both in and out, focusing on value creation through governance, disaster recovery, and observability.

Product innovation and platform evolution

• AI is blurring the lines between data platforms and applications, enabling custom, self-evolving skills and workflows that can be rapidly deployed and iterated.

• The introduction of CoCo and coding agents has democratized innovation internally and externally, with hands-on labs and skill recommendations deepening customer engagement.

• New job functions, such as activation engineers, are focused on accelerating customer go-live timelines and scaling use cases.

• The application layer is being reimagined as modular, skill-based components that can evolve over time, supporting both packaged and custom solutions.

• The platform supports cross-cloud deployments and disaster recovery, with a focus on interoperability and robust choice among AI models.

Financial strategy and guidance

• Guidance for new products like CoCo is based on observed adoption patterns, with conservative modeling until more data is available; confidence increases as more quarters of data are collected.

• Gross margin considerations are balanced against strategic value, with a preference for high-value, differentiated offerings over reselling undifferentiated capacity.

• Operating leverage and gross margin improvements are achieved through economies of scale, better supplier contracts, and ongoing optimization, even as AI product adoption grows.

• Pricing strategy incorporates natural deflation from performance enhancements, offset by increased volume and new workloads, ensuring customers benefit while maintaining revenue stability.

• The company maintains a customer-first approach, proactively optimizing costs and alerting customers to anomalies to maximize ROI and retention.