Snowflake stock soared 17 percent after the company revealed that artificial intelligence is now fueling half its growth, flipping the narrative that AI would destroy traditional software businesses.
For months, Wall Street anticipated that artificial intelligence would undermine the value of business software companies. Instead, Snowflake delivered results that prompted investors to reassess that assumption. On September 3, Snowflake shares surged 17% to $356.56 after the company's latest earnings report demonstrated that AI is not a threat to its business model-it is now a primary driver of growth.
In 2026, Snowflake reported that its customer base surpassed 9,100 organizations using its AI coding assistant, marking a significant milestone in enterprise AI adoption.
AI flips the script
Snowflake's fiscal second-quarter performance exceeded expectations and shifted the prevailing narrative. Product revenue rose 37% year over year to $1.49 billion, while total revenue reached $1.55 billion. Adjusted earnings were 62 cents per share, surpassing the 45 cents analysts had forecast. The company's stock is now up approximately 62% in 2026, a reversal few anticipated at the year's outset.
The most notable development was management's explanation of what is driving this growth. CEO Sridhar Ramaswamy informed investors that about half of Snowflake's recent growth acceleration is directly attributable to AI adoption. This is not merely a marketing point-Snowflake's AI coding assistant, Cortex Code (CoCo), added over 2,000 accounts in the quarter, bringing total adoption to more than 9,100. Its enterprise AI solution, CoWork, now exceeds 5,800 accounts. These are not pilot initiatives; they represent active deployments contributing to usage and revenue.
Data gravity and the AI loop
AI tools depend on access to large volumes of corporate data, and Snowflake's platform serves as a central repository for that information. As more clients develop AI applications on Snowflake, their workloads expand, leading to increased consumption of Snowflake's core data services. This creates a feedback loop: AI adoption drives greater platform usage, which in turn encourages further investment in Snowflake's ecosystem.
In its most recent quarterly report, Snowflake highlighted that over 34 brokerages raised their price targets following the earnings release, reflecting a broad consensus shift among analysts regarding the company's AI-driven growth prospects.
Wall Street recalibrates
Snowflake's results influenced not only its own stock but also sent a signal across the broader software sector. According to Business Insider, UBS analysts cited Snowflake's quarter-alongside strong growth at Palantir and Databricks-as evidence that enterprise AI adoption is translating into tangible software demand. Bank of America and Deutsche Bank both raised their price targets for Snowflake, with Deutsche Bank moving its target to $400 and maintaining a Buy rating. Wells Fargo set a target as high as $525.
This optimism extended to other software companies. ServiceNow, Salesforce, and Adobe all experienced gains as investors speculated that AI could drive a new phase of growth for established platforms. At least 34 brokerages increased their price targets for Snowflake after the earnings release, according to a Reuters financial review.
Risks and reality checks
Snowflake's recent momentum brings heightened expectations and intensified competition. The company faces rivals such as Microsoft and Databricks in the cloud data platform market and must demonstrate that rapid AI adoption leads to sustainable, recurring revenue rather than a temporary increase in usage. Investors will monitor whether Snowflake can maintain this trajectory as the AI market evolves and as customers evaluate the returns on their AI investments.
Nonetheless, the latest quarter provides Snowflake with concrete evidence that AI can accelerate, rather than cannibalize, an established software business. Product revenue is up 37%. The annual forecast has been raised. Thousands of new customers are using Snowflake's AI tools. Management attributes about half of the recent acceleration to AI. This represents a substantive shift in the industry conversation, not merely a change in sentiment.
For months, investors were concerned that AI would diminish the value of legacy software companies. Snowflake now presents a counterexample: when enterprises adopt AI, platforms that manage and secure corporate data may become even more valuable, as every intelligent application relies on access to trusted information. The market's reaction this week underscores that in technology, the threat of disruption can quickly become a catalyst for growth-provided a company is positioned at the center of the data ecosystem.
According to the Federal Reserve's most recent Financial Stability Report, U.S. nonfinancial corporate debt reached $13.7 trillion as of Q2 2026, while S&P 500 technology sector earnings grew 11% year over year in the first half of 2026. These figures illustrate the scale of capital and profit at stake as AI transforms the software industry.
Artificial intelligence in enterprise software is not solely about automating tasks or replacing workers. The primary value lies in integrating AI with extensive, high-quality data sets-an area where only a select group of platforms can operate at scale. For investors, the key takeaway is that the leading companies in the AI era may not be the newest entrants, but those that already control the data infrastructure powering the next generation of business applications.
