New Technology / Big Tech
Monitor Big Tech strategy, platform competition, corporate decisions and structural shifts across the global technology sector.
Snowflake vs Salesforce on AI
Topic
AI Impact on Snowflake and Salesforce
Key insights
- Snowflake and Salesforce reported earnings recently, with both companies facing negative sentiment regarding AIs impact on the software sector. Despite good earnings, their stocks traded down initially but began to correct afterward
- Snowflake operates at the infrastructure layer, helping companies manage data for AI workloads, while Salesforce focuses on customer-facing applications. This difference is reflected in their growth rates, with Snowflake growing around 30% year over year compared to Salesforces 12%
- Salesforces AI product, agent force, currently represents only about 1.7% of its projected revenue for fiscal 2027. Although agent force is growing, it remains a small part of Salesforces overall revenue picture
- Snowflakes revenue growth acceleration is difficult to attribute solely to AI, but they reported a significant increase in customer numbers. They also signed their largest deal ever, valued at around $400 million, partly due to their AI suite
- Snowflakes free cash flow margin improved from 43% a year ago to 61% in the latest quarter. This indicates that despite investing in AI, Snowflake continues to generate cash at an increasing rate
- Salesforces acquisition of Informatica in November 2025 has been a significant driver of their growth. However, the organic growth potential for both companies remains uncertain as they navigate the evolving AI landscape
Perspectives
Analysis of AI's impact on Snowflake and Salesforce's financial performance.
Snowflake's Growth and AI Benefits
- Highlights Snowflakes year-over-year growth of around 30%
- Claims Snowflakes infrastructure layer aids in AI workload management
- Notes Snowflakes largest deal ever worth around $400 million attributed to AI products
- Proposes that Snowflakes free cash flow margin increased from 43% to 61%
- Warns about potential revenue growth deceleration to around 27% for Snowflake
Salesforce's Challenges and AI Integration
- Argues Salesforces growth rate is closer to 12%, despite being their fastest in years
- Questions the significance of AIs contribution to Salesforces overall revenue
- Rejects the notion that Salesforces AI products will be a meaningful catalyst for growth
- Highlights the acquisition of Informatica as a key growth driver for Salesforce
- Notes that AI products represent a small portion of Salesforces total revenue
Neutral / Shared
- Observes both companies faced negative sentiment around AIs impact on the software sector
- Mentions that both companies stocks traded down despite positive earnings
Metrics
growth
30%
Snowflake's year-over-year growth rate
Indicates strong performance relative to competitors.
snowflake is growing around 30% year over year
growth
12%
Salesforce's year-over-year growth rate
Highlights slower growth compared to Snowflake.
Salesforce is growing closer to 12%
revenue
$400 million USD
Value of Snowflake's largest deal ever
Demonstrates significant customer interest in AI products.
they signed their largest deal ever, which was around $400 million
cash flow margin
61%
Snowflake's free cash flow margin in the latest quarter
Shows improved cash generation despite AI investments.
their free cash glow margin has actually gone from 43% a year ago to 61%
revenue contribution
1.7%
Salesforce's AI product contribution to projected revenue
Indicates limited impact of AI on overall revenue.
agent forces ARR, for instance, is just about 1.7% of Salesforce is total fiscal 2027 projected revenue
growth guidance
27%
Snowflake's implied revenue growth for fiscal 2027
Suggests potential deceleration in growth.
snowflake essentially implied that their revenue growth would decelerate to around 27%
debt
$200 billion USD
incremental debt capacity for these companies
This indicates significant borrowing potential for future investments.
each of these companies can take on about $200 billion in incremental debt
debt_to_EBITDA_ratio
0.5
threshold for credit downgrade
Staying below this threshold suggests financial stability.
the threshold for these companies is around one time debt to EBITDA
Key entities
Timeline highlights
00:00–05:00
Snowflake and Salesforce reported earnings, with Snowflake showing a year-over-year growth of around 30% compared to Salesforce's 12%. Despite positive earnings, both companies face uncertainty regarding AI's impact on their future growth.
- Snowflake and Salesforce reported earnings recently, with both companies facing negative sentiment regarding AIs impact on the software sector. Despite good earnings, their stocks traded down initially but began to correct afterward
- Snowflake operates at the infrastructure layer, helping companies manage data for AI workloads, while Salesforce focuses on customer-facing applications. This difference is reflected in their growth rates, with Snowflake growing around 30% year over year compared to Salesforces 12%
- Salesforces AI product, agent force, currently represents only about 1.7% of its projected revenue for fiscal 2027. Although agent force is growing, it remains a small part of Salesforces overall revenue picture
- Snowflakes revenue growth acceleration is difficult to attribute solely to AI, but they reported a significant increase in customer numbers. They also signed their largest deal ever, valued at around $400 million, partly due to their AI suite
- Snowflakes free cash flow margin improved from 43% a year ago to 61% in the latest quarter. This indicates that despite investing in AI, Snowflake continues to generate cash at an increasing rate
- Salesforces acquisition of Informatica in November 2025 has been a significant driver of their growth. However, the organic growth potential for both companies remains uncertain as they navigate the evolving AI landscape
05:00–10:00
Big tech companies are issuing significant amounts of debt to fund AI investments while maintaining strong credit profiles. Analysts indicate that Meta's heavy reliance on advertising revenue poses additional risks compared to more diversified companies like Alphabet and Amazon.
- Big tech companies are currently issuing significant amounts of debt to fund their AI investments. Analysts project that these companies will maintain a strong credit profile, with debt to EBITDA ratios remaining well below the downgrade threshold
- Credit rating agencies consider various factors beyond just the amount of debt when assessing ratings. Strategic considerations, such as revenue diversification, play a crucial role in determining a companys creditworthiness
- Meta has the lowest credit rating among major tech companies due to its heavy reliance on advertising revenue. This dependency introduces additional risk compared to more diversified companies like Alphabet and Amazon
- Demand for debt from these tech giants remains high, with recent offerings being oversubscribed. However, if these companies flood the market with too much debt, it could alter the current demand dynamics
- Investors evaluate a companys financial health using multiple indicators, including credit ratings and market demand. The interplay between these factors can influence the cost of capital for these companies in the long term
- Analysts suggest that while credit ratings are important, they are not the sole determinant of debt demand. The overall perception of a companys financial health can shift independently of its credit rating