🧠📈 Your Next Competitor Has 2 Employees and a $1.8B Run Rate

Hey Explorers!

A lot of people still talk about AI like it's a productivity tool. That frame is already too small. This week was about compression... fewer people, fewer layers, fewer steps between intention and execution.

Two people can now build what used to require departments. The companies that understand that will get leaner and faster. The ones that don't will keep hiring into structures that no longer make sense.

Here's the signal that matters 👇🏼

🏥 Two People Just Built the Story Every Board Will Obsess Over
Medvi hit $401 million in 2025 revenue with two employees and is now tracking toward a $1.8 billion 2026 run rate. The point is not telehealth hype. The point is that AI plus outsourced infrastructure now lets a tiny team sell outcomes at industrial scale. (🔗 Link)

🧰 Sequoia Just Drew the New Map of Value Creation
Sequoia’s thesis is dead right: if you sell the tool, you race the model; if you sell the work, every model improvement expands your margin. This is the real shift underneath the AI boom. Software budgets were the appetizer. Services budgets are the feast. (🔗 Link)

🌐 GoDaddy Wants to Own Naming Rights for the Agent Economy
GoDaddy and LegalZoom are pushing Agent Name Service, which gives AI agents a verifiable identity layer on the open web. That matters because a world full of autonomous agents without trust, provenance, and governance turns into spam at machine speed. (🔗 Link)

🎙️ OpenAI Didn’t Buy a Show. It Bought Distribution
OpenAI acquired TBPN, the Silicon Valley talk show that became required listening for the builder class. This is a power move to control narrative, access, and mindshare while the AI market is still being defined. (🔗 Link)

👔 America Is Already Warming Up to Algorithmic Management
A Quinnipiac poll found 15% of Americans would work for an AI boss. That number sounds small until you realize the taboo has already been broken. Once people accept software assigning work, middle management stops looking permanent. (🔗 Link)

🔓 Google Fixed the Part of Open Models Enterprises Actually Hate
Gemma 4 matters because Google dropped the custom license and went Apache 2.0. Benchmarks get headlines, but procurement friction kills deals. Google just made it easier for companies to run serious multimodal AI without legal drama. (🔗 Link)

🏭 Dell Quietly Turned AI into a $25 Billion Business
Dell’s CFO says the company built a $25 billion AI infrastructure business and is already using agents inside finance. Read that again. One of the most boring functions in the org chart is becoming a proving ground for autonomous execution. (🔗 Link)

⚠️ The LLM Business Model Has a Nasty Math Problem
Reuters highlighted new research showing hallucinations rise as context windows grow, with some models falling apart at 200,000 words. That is the inconvenient truth inside the race to automate high-stakes work. If your AI stack is only mostly right, law, finance, and compliance stay human bottlenecks a lot longer than the hype crowd wants to admit. (🔗 Link)

🧭 The Smart Leaders Aren’t Cutting Entry Talent Blindly
At HBR’s Strategy Summit, Andrew McAfee argued that leaders still do not know where durable AI advantage will settle and warned against slashing entry-level hiring too fast. That is the call executives need right now. The companies that win this cycle will automate aggressively without hollowing out their future bench. (🔗 Link)

In the next 6 to 12 months, your website will be read by agents, your back office will be staffed by software, and your leanest competitor will look less like a company and more like a command center. The real unanswered question is not whether AI replaces jobs… It's which layer of your business still deserves a human in the middle. If you cannot name that layer clearly, AI will name it for you.

If you're figuring out which layer gets redesigned first, talk to us.

👉🏼 Work with Purple Horizons

Signal over noise. Always.

Ralph & Gianni

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