Syz the moment

There are now 139 tech-related leveraged ETFs (108 long, 31 short). That is 3x more than the next largest sector (Financials). To put that in perspective: Tech now has more leveraged ETFs than Financials, Consumer Discretionary, and Communication Services COMBINED. 🤯 We’ve moved past simple indexing into a world of hyper-fragmented, high-octane gambling vehicles. Source: The Kobeissi Letter, Arbor Research & Trading

See below chart with SK Hynix, Samsung or Advantest all sky rocketing. Meanwhile, Nvidia $NVDA (below line in yellow) remains stuck Source: LESG, TME

🚨 The "Software is Dead" Narrative is Wrong. You’re Just Looking at the Wrong Software. The market is panicking. The $IGV hashtag#etf is down 30%. The headlines say AI is writing code now, so software companies are toast. 📉 They’re making a massive Category Error. If you're investing without looking at the "plumbing," you're missing the biggest bifurcation of the decade. Here is how the "Singularity" is actually playing out: 1. The Victim: Human-UI SaaS (Type 1) 🖱️ If your software requires a human to stare at a dashboard for 8 hours, you have a target on your back. The Logic: AI agents replace humans. One less Customer Service rep = one less Zendesk seat. One less PM = one less Monday.com seat. The Result: Seat-based SaaS compresses as headcount shrinks. 2. The Winner: Bot-Infrastructure (Type 2) 🤖 AI agents don't have eyes. They use APIs. They don't click; they call. The Logic: One human generates a few clicks an hour. One AI agent generates thousands of API calls per minute. The Winners: The "Tollbooth Operators"—Okta, MongoDB, Snowflake, Datadog. They don't care if the user is a human or a bot; they charge per unit of consumption. Bots consume orders of magnitude more than we do. 🪦 The Real Casualty: The "Body Shops" The IT outsourcing model (Infosys, Wipro, Cognizant) is built on Labor Arbitrage. Hire for $15/hr in Bangalore, bill for $80/hr in NYC. The Problem: AI makes labor arbitrage worthless. You can’t get cheaper than "nearly free." The Proof: India's Big 4 are already cutting thousands of heads. The hiring machine has stopped. 🛑 The Bottom Line: The market is selling "Technology" as a monolith. This is a mistake. AI replaces Road Workers (IT services/Human-UI). AI pays Tolls (Infrastructure/APIs). The Play: Buy the dip in APIs. Short the slides. The infrastructure layer is the only place to hide when the bots take over.

Source: Don Johnson @DonMiami3 on X

We talk about global competition, but the data tells a much more lopsided story. Check these numbers: 1. The Profit Gap The US has 62 technology companies netting over $1B in annual profit. China? Only 15. That’s a 4x lead over the world’s second-largest economy. 2. The Global Comparison The US has 21 more elite tech firms than China, Japan, Taiwan, and the Eurozone combined. Read that again. One country is out-scaling entire continents. 3. The Leaderboard Of the world’s 10 largest companies, 8 are US tech firms. Of the world’s 10 most innovative companies, 8 are US-based. "Dominance" is no longer the right word. We are witnessing a level of industrial concentration we’ve never seen before. The US isn’t just participating in the future. It’s architecting it. Is the gap between the US and the rest of the world becoming unbridgeable? Source: The Kobeissi Letter

Source: Barchart

Tech bubble? Are you sure? Source: Seth Golden @SethCL Factset

So the ~100 GW of announced capacity implies roughly $8T of capex & “no way you’re going to get a return on that,” since you’d need “about $800B of profit just to pay for the interest” Source: Wall St Engine