Snowflake Revenue Up 37% to $1.49B, Adobe AI Revenue Surpasses $650M

Key Takeaways

• <ul><li>Snowflake's product revenue rose 37% to $1.49B in Q2 fiscal 2027, with 14,554 total customers</li><li>Adobe's AI revenue exceeded $650M and grew over 150% year over year</li><li>Anthropic committed to spending $517 billion on computing power over 11 months through August</li><li>Nvidia's Vera Rubin architecture targets long inference workloads as inference becomes the next big opportunity</li><li>Meta launched WhatsApp Business Tools MCP, enabling AI agents to handle account setup and verification</li><li>JPMorgan sees Meta's AI monetization boosting its stock through smarter advertising and e-commerce</li><li>NIST warns about AI agents bypassing identity checks; Visa develops Trusted Agent Protocol</li><li>SKIP framework helps large language models reason more concisely without losing accuracy</li><li>Novathermo targets 36 billion won in sales by 2030 with expanded AI chip thermal materials</li><li>Jim Cramer expects AI spending to continue despite risks, recommending data center component stocks</li></ul>

Snowflake vs Adobe which enterprise AI stock is a better buy

Snowflake and Adobe are both growing fast by adding AI to their software. Snowflake's product revenue rose 37 percent to $1.49 billion in the second quarter of fiscal 2027. It added 692 net new customers and now has 14,554 total customers. Adobe's AI revenue exceeded $650 million and grew over 150 percent year over year. Both companies are expanding AI tools like Snowflake's CoCo and Adobe's Firefly.

Snowflake vs Adobe which enterprise AI stock is a better buy

Snowflake and Adobe are competing for investor attention in enterprise AI. Snowflake has strong revenue growth and is building its own AI tools. Adobe relies more on partnerships and acquisitions. Snowflake's revenue grew faster than Adobe's in a recent quarter. Adobe shares trade at a higher valuation. The better choice depends on whether an investor wants fast growth or a more established brand.

Nvidia may have won the AI training race but inference is next

Nvidia's GPUs power most of the servers used to train today's AI models. But the next big opportunity is inference, which is when trained AI models are used to answer questions or complete tasks. Every use of an AI model requires computing power. Nvidia's new Vera Rubin architecture is built for these long inference workloads. Amazon and Alphabet are also building custom chips, so competition will be tough.

5 AI stocks to benefit from Anthropic's $517 billion compute spending

Anthropic agreed to spend $517 billion on computing power over 11 months through August. Nvidia and AMD both sell GPUs to Anthropic. Alphabet and Broadcom benefit from Anthropic's use of TPUs co-designed by Alphabet. Amazon is Anthropic's largest shareholder and has major cloud commitments. AMD will deploy up to 2 gigawatts of GPUs for Anthropic starting in 2027.

Meta launches WhatsApp Business Tools MCP for AI agents

Meta launched WhatsApp Business Tools MCP, a tool that lets AI agents help set up WhatsApp Business messaging. The tool can handle account creation, phone number verification, Cloud API registration and webhook testing. It works with AI coding agents like Claude, Cursor, Codex and ChatGPT. Meta also has an existing Meta Social Technologies MCP that works alongside it for WhatsApp-specific tasks.

AI agents challenge identity checks and need new trust rules

AI agents are changing how online identity works by bypassing or passing through identity checks at scale. Malicious agents can attack Know-Your-Customer systems while legitimate agents need clear permissions tied to their human owners. NIST warns against sharing credentials or granting broad access to agents. Visa and EMVCo are developing frameworks like Visa's Trusted Agent Protocol that use cryptographic signatures to verify an agent's identity and precise authorization.

Cramer says AI spending will keep going despite risks

CNBC host Jim Cramer said he does not expect an AI slowdown even with concerns about how fast models are developing. He said there is too much money at stake for companies to stop. He recommends buying data center component stocks after recent market turmoil. Cramer said he asked executives at Dreamforce about a possible 2030 collapse and came away believing the industry has time to fix AI risks without stopping development.

Study shows AI is a powerful but uneven scientific tool

A study of 2,507 comparisons across 27 scientific disciplines found that AI often beats traditional statistics but at much higher computational cost. In about a quarter of cases, AI is both more expensive and worse than traditional methods, a pattern that has stayed stable for ten years. Since 2020, AI has improved against scientific computing and now outperforms it in more than half of comparisons. The findings show AI is not a universal replacement but a valuable and improving part of a new AI-enabled scientific frontier.

JPMorgan says Meta's AI monetization could boost stock

JPMorgan analyst Doug Anmuth said Meta Platforms could enter a new phase of AI monetization. Meta is already using AI to make its advertising more efficient through AI-powered targeting and optimization. The company is also exploring AI in its e-commerce platform to tap into online shopping. Anmuth wrote that Meta's AI capabilities are becoming more sophisticated and are expected to drive significant revenue growth in the coming years.

SKIP framework helps AI reason more concisely without losing accuracy

Researchers created SKIP, a self-knowledge-guided step-wise preference learning framework to reduce overthinking in large language models. Chain-of-Thought reasoning often leads to long outputs that cost more compute and can hurt performance. SKIP uses lightweight fine-tuning and a knowledge probing mechanism to guide the model to output answers at each reasoning step. It uses DPO to build preference data that encourages efficient and correct reasoning while maintaining accuracy on out-of-distribution datasets.

Novathermo Expands AI Chip Thermal Materials, Targets 36 Billion Won Sales

Novathermo is expanding its thermal materials for AI semiconductors and automotive electronics. The company added silicone thermal pads called FLEXURE to its product lineup. Its flagship PCB material Aqua achieved thermal conductivity up to 3.3 W/m·K in lab tests. Novathermo aims to reach 36 billion won in sales by 2030.

Cisco Systems Stock Rises on Splunk AI Partnership and Email Gateway Flaw

Cisco Systems stock rose around September 15, 2026 due to a new Splunk AI partnership. The partnership is expected to boost the company's revenue. A flaw in the email gateway has raised security concerns. Investors see the stock gain as a positive sign for the company's future.

Sources

• Snowflake vs. Adobe: Which Enterprise AI Stock Is a Better Buy?
• Snowflake vs. Adobe: Which Enterprise AI Stock Is a Better Buy?
• Nvidia May Have Won the AI Training Race, but the Bigger Opportunity Is Likely Still Ahead
• Follow Anthropic's Actions, Not It's Rhetoric: 5 AI Stocks to Benefit From Anthropic's $517 Billion in Compute Commitments
• Meta launches WhatsApp Business Tools MCP to let AI agents handle setup and testing
• AI Agents Can Attack KYC Or Act For You. How Do We Tell?
• Cramer bets AI spending will 'continue apace,' says he's not giving up on data center trade
• The AI-Enabled Scientific Frontier
• Meta Platforms Inc. (META) Stock Could Surge as AI Monetization Gains Momentum, Says JPMorgan
• SKIP: a Self-knowledge-guided Step-wise Preference Learning Framework for Concise Reasoning
• Novathermo Expands AI Chip Thermal Materials, Targets 36 Billion Won in Sales
• Cisco Systems stock gains as Splunk AI partnership and email gateway flaw reshape risk-reward