Is SaaS Dead Yet? Snowflake and Salesforce Show Why the Obituary Feels Early
By Ruben Dalfovo, Investment Strategist
Date: February 25, 2026
Key Takeaways
- Disruption fears remain prevalent, but customer commitments indicate the SaaS model is still viable.
- Snowflake benefits from the increasing demand for data in AI applications, though guidance may temper sentiment.
- Salesforce demonstrates that paid AI solutions are moving beyond mere demonstrations, but investors are cautious about potential pricing pressures.
Introduction
In a market driven by artificial intelligence (AI), Snowflake and Salesforce provide fresh insights into the ongoing debate about the future of Software as a Service (SaaS). The central questions revolve around whether AI makes software easier to replace, diminishes pricing power, or enhances demand for platforms that facilitate AI.
Analyzing Software Earnings in the AI Era
This analysis employs a framework to evaluate software earnings amidst the AI revolution, focusing on four critical lenses for long-term investors:
- Pricing Mechanics: Understanding how pricing models (seat-based vs. task-based) are affected by AI.
- Bundling Pressure: The impact of large platforms adding features that may undermine the pricing power of specialized tools.
- Proof of Paid AI: The importance of recurring revenue from AI products as a measure of success.
- Forward Demand: Monitoring customer commitments through bookings and backlog metrics.
Snowflake: The “Picks and Shovels” Case
Snowflake, a cloud software provider for data storage and analysis, positions itself as an enabler in the AI landscape. Recent reports indicate strong demand and customer commitments, countering fears of spending freezes. However, the company's guidance for future revenue aligns with market expectations, which may not satisfy investors seeking more aggressive growth signals.
Snowflake's strategy includes expanding its product offerings, particularly AI tools, although the revenue from these products is still in its infancy. The primary risk lies in larger platforms potentially bundling data tools into broader contracts, which could diminish Snowflake's specialized appeal.
Salesforce: Strong AI Traction Amidst Growth Concerns
As a leader in customer relationship management (CRM), Salesforce faces a dual challenge: benefiting from AI while defending its market position. The company reported strong growth in its AI product, Agentforce, with significant year-on-year revenue increases. However, the guidance provided was lukewarm, raising concerns about the sustainability of growth.
Investors are particularly focused on whether AI will translate into increased revenue or merely lead to reduced workforce needs. Salesforce's reliance on customer commitments, indicated by remaining performance obligations (RPO), suggests that clients continue to invest in long-term contracts despite market uncertainties.
Risks and Considerations
Several risks could impact the narratives surrounding Snowflake and Salesforce:
- Budgeting Constraints: Tightening enterprise budgets could slow down spending on new projects.
- Bundling Risks: Larger platforms may offer competitive features that pressure pricing.
- Measurement Challenges: A lack of clear metrics on AI adoption could lead to diminished investor confidence.
Investor Playbook
Investors should focus on the following strategies:
- Monitor customer commitments through RPO and renewals for insights into confidence levels.
- Distinguish between AI trials and paid AI solutions to assess true revenue potential.
- Pay attention to shifts in pricing models from seats to tasks, indicating value changes.
- Watch for bundling signals that could affect standalone tool differentiation.
Conclusion
The narrative surrounding SaaS is not one of demise but rather an ongoing evolution influenced by AI. Snowflake and Salesforce exemplify the complexities of this transition, highlighting the importance of customer commitments and revenue generation. The future of SaaS will depend on maintaining pricing power, product relevance, and effective execution in a rapidly changing landscape.