Databricks capital expansion
Databricks clearly benefits from massive AI interest. The company reached a $62 billion valuation through its Series J funding round led by Thrive Capital. This capital infusion includes $8.6 billion completed to date and an expected $10 billion in non-dilutive financing. Databricks reports year-over-year growth of more than 60% due to unprecedented interest in artificial intelligence. The company plans to use these funds for new AI products, acquisitions, and significant expansion of its international go-to-market operations. Databricks expects to achieve positive free cash flow for the first time this quarter. Co-leads for the round include Andreessen Horowitz, DST Global, GIC, Insight Partners, and WCM Investment Management. New investors include ICONIQ Growth, MGX, Sands Capital, and Wellington Management. Existing investor Ontario Teachers’ Pension Plan also participates. The platform democratizes access to data and AI to make it easier for organizations to harness the power of their data for analytics, machine learning, and AI applications. This capability helps customers find and treat diseases, identify ways to combat climate change, and reduce time to mental health intervention. The company also intends to use the capital to provide liquidity for current and former employees and pay related taxes.
Snowflake revenue deceleration
Snowflake provides significant AI utility, yet its recent revenue growth misses the mark. Snowflake reported $1.21 billion in product revenue for the quarter ended October 31, which marks a 29% increase year-over-year. While Snowflake reported $1.21 billion in product revenue, analysts at D.A. Davidson suggested that investors expected guidance of more than 30% because the stock had seen a gain of more than 68% this year. The company beat analyst estimates of $1.18 billion in revenue and $0.35 in adjusted earnings per diluted share. However, the current-quarter product revenue forecast of $1.195 billion to $1.200 billion is 27% growth, a figure that misses the 30% level investors expected. This disappointment sent shares 8% lower in premarket trading. I find the mismatch between the recent share price surge and this decelerating growth telling. Snowflake’s AI products drive customer wins through ties with Anthropic, Amazon Web Services, and Google. Accounts using Snowflake Intelligence products doubled quarter on quarter, and 13,600 accounts now use Snowflake AI compared to 9,100 in the prior quarter. You should watch if the 13,600 accounts using Snowflake AI can offset the revenue deceleration.
| Metric | Snowflake (Q3) | Databricks (Recent) |
|---|---|---|
| Product Revenue Growth | 29% | >60% |
| AI Account Usage | 13,600 | N/A |
| Expected Cash Flow | N/A | Positive Free Cash Flow |
The AI spending reality
The shift toward inference clearly offers new avenues for growth. Enterprise AI adoption hits a wall when technical reliability fails. MIT and PwC report that 95% of generative AI pilots fail to deliver measurable bottom-line impact. This failure stems from fragmented data pipelines and legacy SQL systems rather than model capability. Cloud capital spending for the top six companies will grow 19% in 2026, a sharp drop from the 54% growth recorded this year. Morgan Stanley predicts cloud capital spending will taper off to 16% growth from 56%. Goldman Sachs forecasts cloud capital spending growth will slow to 26% in 2026 from 54% in 2025. As companies move from training models to inference, they face rising costs because AI workloads account for 18% of cloud spend at AI-forward enterprises. The convergence of these platforms means 52% of Snowflake’s customers also use Databricks. The industry shows 88% of organizations use AI in at least one core function, but only 25% of organizations move 40% or more of their AI pilots into production. This gap exists because the industry faces an instability horizon where models perform well in labs but fail one in three real-world tasks. Will the massive capital allocated to Databricks sustain growth if enterprise AI pilots continue to fail?
