Day 1 at @UiPath Fusion 2026: done and dusted. ✅ What a day. Amazing sessions, wall-to-wall energy, and I had a blast running the Ashling Partners booth AND the UiPath Community booth — two very different vibes, both incredible. UiPath came out swinging with launches: 🗺️ **Cartographer** — the Map of Work, capturing how work *actually* runs across the enterprise (exceptions, judgment calls and all) 💻 **Maestro Flow** — developer-first orchestration for coding agents, build in Claude Code, Cursor, Copilot or Codex and ship to production without rebuilding 🤖 Live agentic demos that absolutely stole the show The best part though? The people. Met so many clients, partners, and community folks — the conversations alone were worth the trip. Day 2, here we come. If you're at Fusion, come say hi! 👋 #UiPathFusion# #UiPath# #AgenticAI# #Automation# #MapOfWork# #AIOrchestration#

The narrative that AI will wipe out enterprise SaaS overnight is one of the most misunderstood ideas circulating in markets right now, and the evidence does not support it (Save this). @DavidSacks made this case directly and the logic is worth working through carefully. Salesforce is a system of record debugged by millions of customer support tickets over twenty five years, stress tested across thousands of enterprise deployments and deeply embedded into revenue operations at the largest companies on earth. The idea that a CFO will replace that with probabilistically generated code from an AI assistant without compliance guarantees, integration depth, audit trails, and enterprise support infrastructure is not how these decisions actually get made. The market has been pricing in the existential version of this risk anyway and the results have been extreme. Over $1 trillion in SaaS market cap was erased in the first week of February 2026 alone. Global SaaS spending is still projected to grow from $318 billion in 2025 to $512 billion in 2028 which is not the trajectory of a category being killed. The operating reality is entirely disconnected from the stock price narrative. ServiceNow beat earnings nine consecutive quarters in a row and its stock crashed 11% on the same day. Salesforce raised its full year forecast to $41.5 billion on record results and the stock still fell. Sacks makes an important distinction between survivability risk and value capture risk. The survivability risk, enterprises ripping out Salesforce for AI generated software is largely overstated. The SaaS products genuinely at risk are narrow ones charging high prices for underused features with no proprietary data and low switching costs. The value capture risk is real and it is the more sophisticated threat. AI orchestration layers like Claude CoWork are being designed to sit above all of these tools pulling data from Salesforce, ServiceNow, and Snowflake simultaneously and owning the user's primary workspace in the process. If enterprise users move from living inside Salesforce to living inside an AI agent that calls into those systems on their behalf, the SaaS platforms do not disappear but rather become infrastructure. The expansion revenue, the premium pricing power and the next decade of value creation all migrate to whoever owns that orchestration layer.

Say hello to the newest partner joining #CVSummit# 2026: @epheliagroup 👋 Ephelia is an AI-first regulated fintech infrastructure platform that combines traditional and blockchain core-banking with FIAT and stablecoin network rails natively integrated with AI orchestration, so you can launch next-generation financial products on compliant rails worldwide. Built on multi-jurisdictional licences across Europe, the UK, Switzerland, the US, Canada, New Zealand and more, Ephelia offers stablecoin-enabled core banking with es-Currencies for instant and streaming settlement, alongside agentic AI-powered workflows for compliance, reconciliation, payment-rail intelligence, and programmable treasury. The lines between traditional finance, blockchain infrastructure, and AI are converging quickly, with the institutions building across all three positioned to define the next generation of financial products. Ephelia's platform sits at exactly that intersection, and their arrival at CV Summit 2026 speaks directly to one of the central conversations shaping the event. 📅 29-30 September | Kongresshaus Zürich 🎟️ Secure your ticket:

BREAKING NEWS🚨: NVIDIA ENGINEERS AT THE PYTORCH CONFERENCE JUST SAID THAT THE SPEED OF OPTIMIZING CUDA SOFTWARE WITH FRONTIER AI MODELS HAS INCREASED RAPIDLY October 2025 to August 2026: 5x in 1 year with expert human optimization September 2026 to October 2026: 2x in 1 month with AI assistance October 2026: 1.5x with AI orchestration + MegaKernels

📊 $IBM Analyst Insights Truist Securities initiates coverage on IBM with a Hold rating and a $240 PT, implying ~5.9% upside from current levels. The view highlights IBM’s strong enterprise computing position, hybrid cloud capabilities, AI orchestration, and consulting platform. However, near-term AI demand timing and execution remain key uncertainties, limiting conviction despite IBM’s durable enterprise positioning. 🔹 Follow @tenet_research for more analyst insights on other tickers.

Got curious and decided to track which thesis of mine were still up 100%+ YTD after the recent drawdown: 1. $AXTI - InP substrates 2. $NBIS - Neoclouds 3. $MU - Memory 4. $INTC - Foundry 5. $LITE - Photonics 6. $IQE - Epiwafers 7. $AAOI - Photonics 8. $GDRZF - Venezuela 9. $AEHR - Machines 10. $EWY (volatility + underlying) 11. $RPI - AI orchestration 12. $SOI - SIlicon Photonics Substrates 13. $SNDK - Memory 14. $SIMO - Memory 15. $MRVL - ASICs 16. Nanya - memory 17. Unimicron - substrates 18. $ARM - CPUs 19. $SIVE - Photonics From H1 2026, around 19 names across several themes up 100%+ still from the selection of winners. Since many like $TSEM / $HPS.A / $LPK / $ALRIB fell out of the range. (obviously not all are green like Shunsin / $XFAB and disappointed by performance). Regardless, glad a lot of my ideas turned out decently, rather than just being known for one like $AXTI. To the point the Chinese community gave my investing style a name "Perilla Leaf Theory". Again not too sure if my new ideas replicate this performance again in H2 2026 or 2027... For H2, my new thesis was on $CCXI for humanoids/downstream physical AI shift and ESMT for DDR2/DDR3/legacy memory. But I'll keep sharing my core ideas and thought process for free so people can poke holes or debate it until things get validated.