FinallyFoolin

$SNOW 'Management Meetings Shine Light on Durable Opportunity' - Piper We recently hosted Brian Robins (CFO) and Katherine McCracken (Head of IR) for a series of investor meetings throughout Europe. Without surprise, AI was the center of most conversations, including 1) the opportunity for Cortex Code / Snowflake Intelligence, 2) derivative consumption effects from organizations focusing on data architecture to enable AI and 3) the impact AI is having internally. Other topics of interest included the recent CRO change, competition and recent acquisitions. We came away from the meetings stronger in our belief that SNOW is one of the better-positioned software vendors, and it remains a top idea in our coverage. There is a clear sense of urgency throughout the organization related to the AI opportunity, which we believe will translate into top- and bottom-line benefits. PT $230

Parsing PDFs usually means OCR, custom logic, and brittle pipelines. Cortex Code CLI changes that. Use a single prompt to extract structured data from invoices across formats and load it into Snowflake, ready to query. Get started: bit.ly/3ODvVZt

The best of breed cybersecurity and infrastructure software stocks have been punished by the market. AI is a tailwind for the high quality enterprise-grade vendors and the current selloff is a good opportunity.

Will AI disrupt the data platform? What we are seeing at @Snowflake is the opposite: AI is accelerating our business. Just nine weeks ago, we launched Cortex Code, our data coding agent.  Today, 50% of our customers are using it, making Cortex Code the fastest adopted product we’ve ever launched. That’s the power of building something customers truly need. Users are not only more productive with Cortex Code, but crucially, they are also choosing to do more with their data.  Using Cortex Code, early adopters, on average, increased their consumption of Snowflake by 11%! This is what happens when AI is deeply integrated into the place where data work already lives. It does not replace the platform. It makes the platform dramatically more powerful. Very proud of the team for the speed of execution, and even more excited by the customer response.

Analysts on software names this morning: Truist calling $CRM severely undervalued. Bernstein defending $NOW positioning as the “Switzerland” of AI & calling fears overblown. Piper Sandler talking up $SNOW AI positioning based on recent management meetings.

Software forward earnings still rising whereas software stocks have been crushed. If earnings continue to hold up, the rally should be epic! Chart @mattcerminaro

Claude Cowork and software vendors The latest agentic AI tools like Claude Cowork are powerful desktop assistants that can handle multi-step knowledge work i.e. researching, synthesising data, creating documents, managing files and running workflows autonomously on your machine. But here's the key reality most investors seem to be missing during the ongoing panic: these agents cannot operate effectively in isolation at enterprise scale. For real business use (especially in regulated environments with sensitive, large-scale data), they need deep integration with existing systems of record and governed platforms. Standalone agents on a laptop lack the secure data access, compliance controls, audit trails, permissions and team-scale reliability that enterprises demand. That's why the smart move from AI labs has been to build plugins, connectors and enterprise features that embed these agents into current software workflows rather than replacing them. The result? AI becomes a productivity layer that makes established data, observability, backup and integration platforms even more valuable and sticky. The initial stock sell-off in software names was classic fear-driven overreaction. In practice, widespread agent adoption is likely to increase demand for clean, governed enterprise infrastructure - not destroy it. Had an interesting discussion with a good friend who used to work alongside ex-CEO - Andy Grove at Intel and is currently responsible for building out AI systems within a rapidly growing global scale-up company. He is very knowledgeable and regularly invited as an expert speaker at Jefferies' conferences to talk about AI and software. Earlier today he told me that agents need the underlying enterprise-grade software platforms to truly shine. This isn't disruption through replacement; it's augmentation that strengthens the moat of serious enterprise software vendors which are integrating AI into their platforms. Long-term, the winners will be those building the intelligent layer on top of robust data foundations. alphatarget.com

Updated FCF comp sheet:

“Without enterprise data, your AI models are commodities.” Great perspective on why, in the agentic enterprise, context is what turns AI into action. 👉 adweek.com/programmatic/y…

Find your most important ML features with a single prompt. Cortex Code can: - Audit your model - Flag weak signals - Suggest improvements Faster insights. Less guesswork. Learn more about agentic ML in Snowflake: bit.ly/41DV74R

Stop memorizing syntax and start accelerating your knowledge. 💡 Remy James of @LendingTree calls Cortex Code a "productivity multiplier" for the Snowflake AI Data Cloud. No more bottlenecks—just natural language prompts that build Streamlit apps in record time. This is AI in action. 👉 bit.ly/4bQbCj6

Agentic AI needs more than data access. It needs context + governance that travel with the data. That’s what we’re building with Snowflake Horizon Catalog, a universal AI catalog for the enterprise. ❄️ snowflake.com/en/blog/univer…

@hamids It's also safer to walk down the street with a team of bodyguards than by yourself. However, both methods work to get to your destination. One, only elites can afford

$RIVN's approach of 11 Cameras + 1 Lidar + 5 Radars >>> Is Superior to $TSLA's approach of 8 Cameras (extrapolated from Waymo CEO's interview)

Innovation isn’t about how complex your tools are—it’s about how quickly you can turn data into value. Proud to be named #3 on @FastCompany ’s Most Innovative Enterprise Companies list. We’re focused on making enterprise AI as accessible as a database. 👉 bit.ly/4d84aCa

Sunday night real talk. I work a full-time job. I have a wife and a baby at home. I am not sitting at a Bloomberg terminal 14 hours a day. And my portfolio has compounded at a 37-40% CAGR — publicly tracked, fully transparent, every single position visible. Here's what that tells you: You do not need to be a Wall Street insider to beat the market. You need a process, patience, and the discipline to size your winners correctly. My entire process: 1. Find companies growing revenue 25%+ in massive TAMs 2. Verify the moat — switching costs, network effects, or technical dominance 3. Buy with conviction and hold through volatility 4. Let compounding do the heavy lifting over years, not days This isn't about genius. It's about consistency and conviction. New week ahead. Let's make it count.

He’s right

Introducing Project SnowWork - An autonomous enterprise AI platform designed to help business users get everyday work done and deliver outcomes faster with: ✅ Autonomous multi-step workflows ✅ Role-based profiles (Finance, Sales, Marketing, etc.) ✅ Trusted, governed @Snowflake data Check it out: snowflake.com/en/news/press-…

AWS revenue projection doubled (17%CAGR) due to AI AI stocks are currently very oversold. $AMZN

If you're an $IREN shareholder this is a must read... definitely worth paying $20 to read it or listen to it on Substack. Very well written... extremely detailed and thorough. If you're not an $IREN shareholder but want to understand why some of us are very bullish, this is a great read to understand the long-term opportunity. This is more than just a company with 4.5GW of contracted power. If my investment thesis plays out... then $IREN should be a $200 stock within the next 4-5 years. NFA. DYOR. *I own $IREN personally and so does @FirstWaveFund, we added to our position this morning.

We’re entering the era of the agentic enterprise. AI is moving beyond generating insights → to taking action across the business. The real competitive advantage will come from grounding intelligence in trusted data, governance, and enterprise context and embedding it directly into workflows. This requires a new architecture connecting: ▶️ Enterprise data ▶️ AI models ▶️ SaaS & applications ▶️ A control plane for governed AI action @Snowflake is uniquely positioned to power this shift. My thoughts on what comes next 👉 snowflake.com/en/blog/agenti…