You've seen it. The LinkedIn post that reads like a robot summarized a robot. The sales email that opens with "Dear [First Name]" and goes downhill from there. The blog post so generic it could be about any company in any sector on any planet.
"Slop" became Merriam-Webster's Word of the Year in 2025. The American Dialect Society picked it too. Everyone agrees the problem is real.
But here's the question nobody's asking: why does the slop exist?
Block recently published an essay arguing that AI will replace organizational hierarchy — that the span-of-control constraint governing every large organization since the Roman legions can finally be broken. The essay, introduced with an endorsement from Sequoia, spends considerable time on military history before arriving at Block's vision: a company organized as "an intelligence" rather than a hierarchy, where AI maintains a "world model" of operations and coordinates work that previously required layers of human management.
The piece is ambitious. It is also roughly 80% historical context, 15% vision, and 5% acknowledgment that none of this exists yet. Let's extract what's actually useful.
We recently hosted an AI session for a group of business owners. We had slides. We planned for a 30-minute presentation and 30 minutes of Q&A.
They kept us for almost three hours.
A survival rubric for software and SaaS entrepreneurs in the era of vibe coding.
In February 2025, we published The AI-Driven Transformation of Software Development. Our central thesis: AI would trigger a fundamental shift in the build-versus-buy calculus, accelerating a "Cambrian explosion of software" and driving development costs toward zero. We predicted that businesses would find building tailored solutions increasingly cost-effective and strategically superior to purchasing off-the-shelf software.
The thesis has played out. The cost of code is, for most practical purposes, zero.
Your staff is already using AI. You probably know that. What you might not know is which tools, on which data, with what guardrails.
The 2026 Nonprofit AI Adoption Report put a number on it: 92% of nonprofits are using AI in some capacity. But 47% have no governance policy at all. And 81% are using AI individually, no shared workflows, no documentation, no organizational learning.
That's not an AI problem. That's a risk management problem hiding in plain sight.
If you run a small business, you've probably had some version of this conversation in the last six months:
"We should be doing something with AI."
Maybe your office manager started using ChatGPT for emails. Maybe a competitor posted about their "AI-powered" workflow on LinkedIn. Maybe you sat through a vendor demo that promised to "transform your operations."
And then nothing happened. Or worse, something happened, but you can't point to what actually changed. Your AI implementation stalled before it started.
Your best tech is losing two to three hours a day to bad routing. Your estimator is rebuilding the same spreadsheet for the third time this week. Your office manager is chasing invoices instead of chasing growth.
None of that is a technology problem. It's operational drag. And it's capping how fast your business can grow.
Most trades owners assume AI isn't for them yet. That's exactly why the ones adopting it now are pulling ahead so fast. HVAC. Plumbing. Construction. Manufacturing. Field services. Where almost no one has started, even basic AI puts you a generation ahead.
And they're not doing anything wrong — that's the scary part.
If you've been on LinkedIn this week, you've seen the posts. Someone's AI agent just booked their flights, summarized their inbox, and scheduled their week—all while they slept.
OpenClaw (formerly Clawdbot, then Moltbot) is being downloaded thousands of times a day. It's the fastest-growing AI agent in history, and it's likely already installed on a laptop in your office.
Here's the problem: this isn't a polished product from Google or Microsoft. It's an experimental tool that, once granted access, can read and write files on your computer. It can execute scripts. It can connect to your email, your calendar, your customer data. And the creator himself says the security is "a work in progress" and it's "not meant for non-technical users."
That hasn't stopped non-technical users from installing it anyway. And most of them have no AI governance in place.
Every few months, a new AI model drops and the internet loses its mind. GPT-5-whatever. Gemini-some-number. The next thing.
It's like the iPhone when they were new—each number was a big deal. I used to get excited too. But can you honestly tell me the kid fresh out of college is getting more ROI out of a new iPhone than the business operator on one that's three years old?
Now, look at the guy who doesn't have a cell phone and is still faxing documents—how's he doing?
That's what I mean. Debating which AI model to use is like worrying about which carrier to get cell service through. Meanwhile, most business owners haven't figured out what to do with the last model.
Here's what's easy to miss in the noise: the models got good. Really good. Three years ago, AI couldn't write a decent email. Now it can draft proposals, analyze contracts, and handle first-line customer support. Small and medium-sized businesses have access to the same capabilities enterprise companies are spending millions to deploy.
So why are some businesses pulling ahead while others spin their wheels?
It's not which AI they picked. It's how they run it.
