
This is what Bill McDermott calls drinking your own champagne. If SaaS companies adopt AI end-to-end inside their own operations, EBITDA margins could go up 100-250%.
Cade Krueger
2.8K posts

@CadeKrueger
15+ years in B2B revenue and operations. Now deep in AI. All about personal growth and supporting other's growth.

This is what Bill McDermott calls drinking your own champagne. If SaaS companies adopt AI end-to-end inside their own operations, EBITDA margins could go up 100-250%.


Coatue just put a number on what we’ve been seeing at seed for 3 years. Software = $0.2T market. Services-as-software = $5.5T. 25x. The shift is from selling tools (per-seat) to selling work (per-output). This is why the best vertical AI companies don’t compete with software incumbents. They’re compete with expensive service providers, BPOs and high turnover labor. A $2K/month AI agent replacing an $80K/year agency is the new business model.


Elon says AI and robots will run out of things to do for humans — at 1,000x today's economy, every human desire is saturated. Salim thinks any company will soon run on 20–25% of its current workforce. If knowledge work is cooked, the only career left is being a founder. — CS grad placement collapsed from 89% to 19% in under 3 years; salaries dropped from $94K to under $61K. — OpenClaw surpassed Linux's 30-year adoption in just weeks. — Jensen sees $1T in NVIDIA revenue by 2027— and demand still outstrips supply. — Salim: every organization in the world now has one move to survive— build an AI-native operating system at the edge









Yesterday Mark Cuban reposted my work, DM'd me, and told me to keep telling my story. So here it is. I'm a Master Electrician. IBEW Local 369. 15 years pulling wire in Kentucky. Zero coding background. I didn't go to Stanford. I went to trade school. Every week I'd show up to a home where someone just bought a Tesla or a Rivian. And every time, someone had already told them they needed a $3,000-$5,000 panel upgrade to install a charger. 70% of the time? They didn't need it. The math is in the NEC — Section 220.82. Load calculations. But nobody was doing them for homeowners. Electricians upsell. Dealers don't know. And the homeowner just pays. I got angry enough to build something about it. I found @claudeai. No coding experience. I just started talking to it like I'd explain a job to an apprentice. "Here's how load calcs work. Here's the NEC code. Now help me build a tool that does this." 6 months later — @ChargeRight is live. Real software. Stripe payments. PDF reports. NEC 220.82 calculations automated. $12.99 instead of a $500 truck roll. I'm still pulling wire. I still take service calls. I wake up at 5:05 AM for work. But something shifted. Yesterday @vivilinsv published my story as Claude Builder Spotlight #1. Mark Cuban saw it. The Claude community showed up. And for the first time, I felt like this thing I built in my kitchen might actually matter. I'm not a tech founder. I'm a dad who wants to coach little league and be home for dinner. I just happened to build something that helps people. If you're in the trades and thinking about using AI — do it. The barrier isn't technical skill. It's believing you're allowed to try. EVchargeright.com

Andrej Karpathy just put out this tool that looks at AI's impact on job. He also deleted the original Github repo very quickly. Basically, he pulled 342 job types from the Bureau of Labor Statistics and had an LLM score each one from 0 to 10 based on AI exposure. The average exposure score is 5.3. Move the score, move the probability it will get wiped out by AI. - Software developers 9/10, - medical transcriptionists are a 10/10. - Lawyers 8/10 - General Office clerks 9/10 Basically any screen-based jobs are in trouble. $3.7T annual wages in high-exposure jobs (7+) pre-computed as ∑(BLS employment count × BLS median annual wage) over exactly those occupations whose Gemini Flash score is ≥7.




Travis Kalanick says when everything is fully automated, that “plumbers become LeBron”. everyone is fighting over comfy white collar jobs while the kid who learned a trade at 18 is about to be the most valuable person in the room. trade school 2.0 is near.

Geoffrey Hinton (Godfather of AI, Nobel winner) on career advice in a superintelligence world: "Train to be a plumber." Why? AI will crush knowledge work (paralegals, lawyers, mundane intellectual jobs) far sooner than physical manipulation. Plumbers stay safe longer—robots lag at real-world dexterity. But the deeper fear? Mass joblessness is coming, and superintelligence could get "awful" (takeover scenarios, power stations run by humans until better machines). He's emotionally struggling with what it means for his kids/nephews—haven't "come to terms" yet. Raw 165-sec clip from Diary of a CEO (viral 2025 episode). Blunt: Intellectual threats are real, but physical trades buy time. In an AI-driven future, are you rethinking your career/skills? Would you pivot to trades like plumbing? Or bet on something else? What's your honest take on job security vs superintelligence risks? Drop thoughts below.