Bloomberg Talks: Snowflake CEO Sridhar Ramaswamy Talks Earnings, AI Demand
Date: February 26, 2026
Host: Caroline Hyde (Bloomberg)
Guest: Sridhar Ramaswamy, CEO of Snowflake
Episode Overview
This episode features an in-depth interview with Snowflake CEO Sridhar Ramaswamy following the company's recent earnings report. The conversation focuses on Snowflake's robust growth, the evolving landscape of artificial intelligence (AI) in enterprise software, strategic partnerships, and how Snowflake is adapting to and driving the next wave of innovation in data management and AI-driven solutions.
Key Discussion Points and Insights
1. Earnings Highlights and Growth Drivers
- Strong Financials:
- Snowflake's forecast product revenue is projected to be $1.26 billion for the current quarter, representing a 27% increase.
- More than 9,000 accounts are now using Snowflake’s features.
- Shares rose 3.7% after the earnings announcement.
- Major Deal Momentum:
- Snowflake secured seven "nine-figure" deals, including a $400 million contract.
- Sridhar attributes these large deals to customer confidence in Snowflake’s current capabilities and future roadmap.
- Quote (Sridhar Ramaswamy, 01:15):
"We had seven nine figure deals, including a mammoth $400 million deal. It reflects the confidence that our customers have both in where Snowflake is right now, but importantly that we are going to."
2. AI-Driven Product Innovation
- AI Disruption in Enterprise Software:
- Sridhar emphasizes the transformative impact of AI, asserting that success requires a "single source of enterprise truth," built-in security, and access to leading AI models.
- Snowflake is working to deliver business user–oriented AI tools such as "Snowflake Intelligence."
- Product Adoption & Customer Use Cases:
- Products like "Cortex Code" allow customers to leverage advanced AI for software development and operations.
- Sridhar highlights adoption by health companies and partners who accelerate their business using Snowflake capabilities.
- Quote (Sridhar Ramaswamy, 01:49):
"We never use customer data for things like training models. They get the superior models that we get through partnerships with these folks. But we also add the secret sauce of data... into products like Cortex Code."
3. Partnership Ecosystem & Competitive Landscape
- Integrations with Leading AI Platforms:
- Snowflake’s ecosystem includes partnerships with Anthropic, OpenAI, Google Cloud, and others.
- The host asks about competitive risks, given that partners like Google and OpenAI have their own coding tools.
- Unique Value Proposition:
- Sridhar argues that Snowflake’s intimate integration with customer data, security, and trusted environment cannot be easily replicated by generic coding agents.
- Snowflake adds proprietary value by tailoring AI tools (like Cortex Code) tightly to their platform, ensuring customer data doesn't leave their secured environment.
- Quote (Customer via Sridhar Ramaswamy, 03:31):
"Having Cortex Code was like Snowflake supplying them with bulldozers where previously they had shovels."
4. Attracting New Customers
- Driving First-Time Adoption:
- New customers typically come to Snowflake seeking better, faster insights from their data.
- Sridhar explains that demos using Snowflake Intelligence on real customer datasets are a key conversion tactic.
- Existing customers, such as Sanofi, are expanding their Snowflake usage to modernize workflows and replace legacy software.
- Quote (Sridhar Ramaswamy, 04:13):
"Smart customers are also quickly realizing that having data in Snowflake means that they can think about how this data is going to be used in ways that they had not done before."
5. AI Value, Costs, and Speed
- 'Profitable Tokens' and Real-World Impact:
- Caroline Hyde references NVIDIA CEO Jensen Huang’s recent comment about "profitable tokens" and asks for real-world validation.
- Sridhar shares anecdotes showing dramatic speedups in project delivery—tasks reduced from weeks to hours or even minutes with AI-driven automation.
- He reiterates AI agents' high value, underpinning Snowflake’s bullishness about continued AI investments.
- Quote (Sridhar Ramaswamy, 05:29):
"My teams come to me just last weekend with speed ups going from four weeks for a software engineering project that they did down to 40 minutes. That is 100x speed up."
6. Investment in Innovation and Organization
- Sustaining Rapid Innovation:
- Snowflake maintains its edge by organizing teams for agility and impactful innovation, not just by scaling hardware.
- Sridhar stresses the importance of team structure and work environment over sheer scale of investment in infrastructure.
- The company is confident in its model for fast, effective R&D, which enables continual delivery of cutting-edge capabilities.
- Quote (Sridhar Ramaswamy, 06:36):
"It is more the mental structure of how you set up environments where people can get work done quickly and effectively that matters a lot more than things like how much hardware you’re investing in."
Notable Quotes & Memorable Moments
- "Seven nine figure deals, including a mammoth $400 million deal..."
(Sridhar Ramaswamy, 01:15) - "Having Cortex Code was like Snowflake supplying them with bulldozers where previously they had shovels."
(Paraphrased Partner Quote via Sridhar Ramaswamy, 03:31) - "My teams...speed ups going from four weeks...down to 40 minutes. That is 100x speed up."
(Sridhar Ramaswamy, 05:29) - "It is more the mental structure of how you set up environments where people can get work done quickly..."
(Sridhar Ramaswamy, 06:36)
Timestamps for Important Segments
- 01:15 – Major customer deals and drivers behind large enterprise commitments
- 01:49 – Discussion of AI partnerships, data privacy, and Snowflake’s unique offerings
- 03:31 – Customer analogy: Cortex Code compared to bulldozers versus shovels
- 04:13 – Strategies to win new customers, with case study example
- 05:29 – AI value in action: speedups and project delivery transformation
- 06:36 – Organizational philosophy for rapid innovation and competitive edge
Tone and Style
The conversation is direct and analytical, balancing enthusiasm for technological advancement with pragmatism about enterprise needs. Ramaswamy’s tone is confident and transparent, emphasizing Snowflake’s integrity, unique strengths, and readiness to meet the challenges of AI-enabled enterprise transformation.
This summary captures the core themes, strategic insights, and memorable moments from the Bloomberg Talks episode featuring Snowflake CEO Sridhar Ramaswamy. It highlights how Snowflake is capitalizing on the AI revolution, differentiating itself in a crowded landscape, and strategically investing in sustained, rapid innovation.