Why do orgs struggle to consistently achieve results in knowledge management? Because we fail to adapt the type of KM approach to the values & work conditions of the orgs it is applied in. Integral #KM might be the answer:
https://t.co/s7xLhDkB5P
We’ve automated every single thing we can @every with AI agents.
And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.
I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI.
After Automation: https://t.co/Lb7SUCduAg
@danshipper@every I think there might be a type in your (awesome) article: In "When the cost goes down for something previously rare, supply suddenly goes way up" you probably meant that DEMAND suddenly goes way up (aka Jevons Paradox)?
@BrianRoemmele Dear Brian, I had sent you an email over a year ago to that I want to cancel my subscription. Yet this week you again charged me again $99 for yet another year. Please be true to your values, refund me the $99 and make sure I will not be charged in the future.
@randynorian@WallStreetApes I'm using my Photoshop 7 copy that I have since 2002. It has everything I need for occasional image editing and works on every Windows machine. Never paid anything to Adobe since.
@GoZempic@mitchellvii Agreed that a human could probably do better. Disagree that anything was stolen. Unless one can prove specific melody sequences are replicated, all existing music is free for re-mixing in similar patterns and inspiring any new tunes. A style or vibe is not copyrightable.
@GoZempic@mitchellvii This song wouldn’t exist without AI. It is conceptually A+, its lyrics are entirely human-made (contain all the human soul you would want from lyrics), and it’s bringing the intended audience pure joy. It’s the exact opposite of “slop” and there is no reason not to enjoy it.
There are multiple realities of AI right now.
And what you have access to drastically changes your workflows, trust in AI, and ability to adapt to the future.
Here’s the briefest state of the AI world for business professionals (not engineers)
⬇️
Free AI - you use free ChatGPT or Claude. You think AI is decent for simple tasks but nothing to restructure your day around. You’re worried it hallucinates too much to trust with real work. On a daily basis you treat it like an intern who needs to be checked on everything.
Paid AI - you pay for one (maybe more?) AI subscriptions. You’ve had at least a few moments where AI genuinely surprised you with what it could do. You use it daily for writing, research, and analysis and you’ve stopped asking “can AI do this” and youve started asking “how do I get AI to do this BETTER.”
Super AI - you have multiple paid subscriptions, you either use Cowork or Claude Code for daily tasks, Claude Code or Codex to build tools for yourself. You treat AI like a teammate with a role, not a tool you open sometimes. You’ve automated things your coworkers are still doing manually. You have genuine opinions about which model is best for which task. AI isn’t just a productivity boost for you anymore. It’s infrastructure. You’re completely reinventing the way your work gets done.
Basic enterprise AI - your IT team approved one AI platform (probably Microsoft Copilot, ChatGPT Enterprise, or Gemini for Workspace) in the last few years, and rolled it out with clear-ish guardrails. You have access but you also have restrictions on what data you can put in. You use it for safe, surface-level tasks and your high-stakes work still happens the old way because nobody’s built the bridge between your AI tool and your real enterprise systems (ex: email and docs).
Super enterprise AI - your company has access to agentic harnesses (Codex, Claude Code) across different functions, each chosen for what it does best or just giving your employees more flexibility. Your teams have AI embedded in their actual workflows, not bolted on. Engineers have been using Claude Code/Codex/Cursor for months or years. Operations use agents for real processes. Leadership tracks AI adoption the way they track revenue (ie not just usage). The gap between your company and competitors who handed out a single Copilot license is getting wider every month.
I would go so far as to say that companies not giving their employees the best AI today are shooting themselves in the foot because their employees are losing more AI trust, putting them in a worse position for eventual (hopeful) company-wide transformation.