“Organizations are now grappling with an unprecedented structural divide: the rapid, exponential evolution of artificial intelligence versus the slow, linear rate of human organizational change.” -- Braden Kelley -- #tech #change -- 1,550+ FREE #quotes at misterinnovation.com

a16z backed two guys trying to kill McKinsey. one of them spent 5 years there. the other did ML at Meta. their software interviews your entire workforce, finds what to automate, then deploys the agents at scale. how much of a $520B industry built on people's time survives this new AI world?

Travis Kalanick: “I was running a $70 billion company the way somebody who thought he was going to starve next week would run it." "Every decision I made at Uber, I defend to this day. Never had chalk on my shoe.“ “The problem was I ran too close to the line in too many situations. When you're big and important, the scrutiny and expectation is that you don't run that close to the line, even if it's correct. That is a thing I definitely did not understand.” “It comes from what I did before Uber. First four years, no salary, ran out of money several times, super grind, lose all friends. The non-luckiest entrepreneur journey of all time.” “It was so hard that I had to be epically precise and hardcore just to pay the bills and go to the grocery store next week. And that precision and intensity made Uber what it was.”

Tony Robbins charges up to $1 million for a single speech. Decades ago, someone filmed him giving away the entire technique for free This is skill arbitrage in its purest form - the gap between what you know and what someone else doesn't, sold directly Robbins built an empire on exactly one gap: reading what makes a person say yes, and closing that gap in real time By 1991, his company was already doing $50 million a year. Presidents, billionaires, hedge fund managers - Paul Tudor Jones among them - paid for private time with him None of that came from a script. It came from a specific, teachable read: find what someone is already leaning toward, and anchor the offer to that feeling instead of fighting it This footage catches him teaching the raw mechanics, not the stage show - no seminar lighting, no crowd, just the technique itself That kind of footage doesn't usually survive. Most of it stays inside $10,000-a-ticket seminars or rooms billed at six figures an hour The skill was never secret. Access to watching it explained plainly was

"When you go to hire your first marketer, there's just one criterion they have to meet. They have to have help a commit. They have to have owned a number in the pipeline. They aren't a fit for startups if they haven't."

Guys, there were warning signs

.@GammaApp hit $100M ARR with a team of 50. Profitably. 50M users, 600K paying subscribers. And they did most of it with zero sales team and zero marketing spend. Still ... CEO @thisisgrantlee wishes he'd added a sales team earlier. Grant broke down how at SaaStrAI 2026: 1⃣Build word of mouth before you spend a dollar on marketing. It's the one channel that amplifies everything else and can't be bought. 2⃣The first 30 seconds of your product have to be magical. Not good. Magical enough that users tell their friends unprompted. 3⃣Become a creator yourself before you run creator marketing. You can't coach a motion you've never done. 4⃣Dogfood to build conviction, not just catch bugs. Gamma ran two products in parallel for 6 months and let the energy decide which one to kill. 5⃣Pricing and packaging is never done. Seat vs usage vs API is a live question forever now. 6⃣Don't wait too long to add sales. This was Grant's biggest regret. They rode inbound so hard they never engaged their own self-serve base, and dropped real team and department demand sitting right in front of them. 👉Product-led doesn't mean sales-never. piped.video/1i-CW4eknro?si=fSCF…

CEOs walking into work after realizing that the AI tokens are going to cost more than the employees they fired

Here's my assessment of what's going on inside Goldman and Morgan Stanley right about now around the $SPCX IPO. 1) The math isn't mathing for institutional investors to participate at $135/sh in the size they need them to. Research is being heavily pressured by banking to get more aggressive on their estimates/teach-in materials to try to make valuation make sense. It's not working. The biggest brass across the firms are now getting involved - Jamie Dimon & David Solomon are taking meetings - it's all hands on deck. 2) Accordingly, the bookrunners are increasing the % of the deal allocated to retail to 30%. Remember, it's the banks buying the shares from the company and if their largest institutional relationships aren't biting in the size they need them to - they have to find demand somewhere else they're going to be on the hook for the delta between $135/sh and wherever the stock trades multiplied by the number of shares left in inventory. Find the demand - whoever and whatever it takes. 3) Banks are also pressuring the index providers to create forced buying as well across a ton of indices and their associated products. This has worked in some places and hasn't in others (credit to S&P for their backbone here). This will create a large amount of demand but I don't know the math here relative to the float coming public - if anyone has seen smart math here please share. All and all, this is going to be a fascinating IPO to watch but I have next to zero interest in participating - I suspect I'm in the majority here.

Jensen Huang, CEO of Nvidia: "Every engineer is going to have and manage hundreds of agents." The most valuable engineering skill of 2026 is not taught in any university. No CS program teaches harness engineering. No bootcamp teaches agent memory architecture. No degree prepares you to build systems that survive production. One builder mapped the entire thing out — free, step by step, no degree required. This is the roadmap ↓ Bookmark this for the weekend.

Google is raising $80 billion of equity a week before SpaceX is trying to raise $75 billion a few months before Anthropic and OpenAI are trying to raise $100 billion from investors and you’re laughing??? This is a cataclysmic exit liquidity avalanche

SpaceX IPO liquidity exiting Bitcoin right now

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." this is one of the best workflows I've seen in a long time in this video she breaks down exactly how most people are using Claude: - the 14% you lose to CLAUDE.md before typing a word - the automation workflows most users don't know exist - the daily task pipelines that run without touching the keyboard - the daily workflows Anthropic's own engineers automated first if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Jensen Huang (CEO of Nvidia) : “Every engineer is going to have and manage 100s of agents” The future of work is managing and building ai agents This builder gave out the entire roadmap to become a 100x ai engineer in 2026 Bookmark this for the weekend

it is the single most clever move Elon ever pulled off

> be Andrej Karpathy > born in Slovakia, move to Canada at 15 > start coding at 15. instantly obsessed > become YouTube famous... for Rubik's cube tutorials > get PhD at Stanford under Fei-Fei Li > co-found this tiny startup called OpenAI > Elon calls you "arguably #2 in computer vision in the world" > go build Tesla Autopilot for 5 years > leave. come back to OpenAI. leave again > coin the term "vibe coding" casually in a tweet > it ends up in the New York Times > build an AI education company > 9.3M people watch your next move Today he joined Anthropic to lead pretraining research. The man never stops.

Me watching two Anthropic engineers for 24 minutes and realizing I've been using Claude Code like a monkey

Anthropic's own team just showed how to actually use Claude Code properly. 30 minutes. Free. From the person who created it. You've been using Claude Code for months without knowing 40 of its commands. This fixes that tonight. Worth more than every $500 course you almost bought. Bookmark it. So that you don't this, and watch today. Follow @codewithimanshu for more high-signal content that actually moves your career forward.

Instead of watching Netflix tonight. Spend a day mastering Claude here: claude101.com → Level 1 - 24 min: The basics. Claude For Dummies: ruben.substack.com/p/claude-… Claude Setup: how-to-claude.ai → Level 2 - 1 hour: Real workflows. Claude Cowork: claude-co.work Claude for teams: how-claude.team Claude Design: claudedesign.free Cowork + Projects: ruben.substack.com/p/claude-… Claude for slides: how-to-gamma.ai Claude Skills: claude-skills.free → Level 3 - 3.5 hours: The pro moves. Avoid sycophancy: ruben.substack.com/p/i-love-… Claude Code: claudecode.free Claude 101: anthropic.skilljar.com/claud… Stop hitting Claude limits: ruben.substack.com/p/how-to-… Stop Prompting: ruben.substack.com/p/stop-pr… → Level 4 - 8 hours: Expert mode. Claude Computer: ruben.substack.com/p/claude-… Build with Claude API: anthropic.skilljar.com/claud… Pro tip: Don't binge it. Do one level per sitting. Actually apply each guide before moving to the next

Singapore's Foreign Minister published the architecture for his "second brain for a diplomat" yesterday. Architecture diagrams, design rationale, the works. A developer-style writeup of his own system. It runs on a Raspberry Pi. It connects to his WhatsApp and Gmail, transcribes voice notes locally, ingests speeches and articles, and builds up a knowledge graph over time. It answers questions, drafts speeches, condenses information. He says he doesn't dare switch it off. What @VivianBala built is one-of-one. There's no other setup like it. But what he built it from isn't. He composed four open-source pieces: - @NanoClaw_AI , the agent framework: github.com/qwibitai/nanoclaw - Mnemon, the persistent memory layer: github.com/mnemon-dev/mnemon - OneCLI, the credential proxy that keeps API keys out of the containers: github.com/onecli/onecli - The LLM Wiki pattern by Andrej Karpathy, the synthesis approach: nitter.net/karpathy/status/204047… None of them are his. The composition is his. And then he published the composition: gist.github.com/VivianBalakr… He didn't keep it internal as Singapore's edge. He didn't spin it into a product. He didn't gatekeep. He wrote it up and put it on GitHub. There are tens of thousands of doctors, lawyers, researchers, investors, and operators building one-of-one setups for themselves right now. Some simpler than Vivian's, some more elaborate. The impulse will be to sit on it. Treat it as your edge. Think about what product or company you could spin out of it. Resist that impulse. Vivian put it directly: "The diplomat who learns to work with AI will have a meaningful edge. I think that edge is now." The specific thing Vivian composed will be obsolete in months. His real edge isn't the system. It's his ability to build it. Being plugged in, up to speed, able to cut through the noise and connect the right pieces into something that brings real value. Sharing the blueprint doesn't give that away. It amplifies it. You become a beacon. Other people working on the same things find you. They share what they're building, suggest improvements, point at things you didn't know existed. You learn faster. You stay in the center of where things are happening. Publishing isn't giving away your edge. It's doubling down on it.