Greg: Here’s a short terse line for LinkedIn along the lines: I guess a lot of companies are about to find out that it wasn't the technology holding them back after all and being able to write software in 10 minutes can't help you if you don't know what you're doing in the first place
Claude: Here are a few options:
Option 1: A lot of companies are about to discover it wasn't the technology holding them back. Writing software in 10 minutes doesn't help if you never knew what to build in the first place.
Option 2: AI can write your software in 10 minutes now. Turns out the bottleneck was never the code — it was knowing what you're doing.
Option 3: Fastest way to find out your problem was never technical? Give everyone access to tools that eliminate the technical barrier.
Greg: Another: I wonder how many companies are out there plodding on with their transformation programmes not realising the whole world changed and by the time they're done it'll all have been a complete waste of everyone's time and money
Claude:
Option 1: How many companies are still plodding through their transformation programmes not realising the world already changed underneath them? By the time they're done, the whole thing will have been a complete waste of everyone's time and money.
Option 2: Somewhere right now a company is 18 months into a digital transformation that was obsolete 6 months ago. Nobody's told them yet.
Option 3: The saddest thing in business right now is a 3-year transformation programme that doesn't know it's already dead.
Greg: You get the point. Can you help me write some more.
Claude:
Everyone's talking about AI strategy. Most companies don't even have a regular strategy. They just want to sprinkle AI on the mess and hope for the best.
The companies buying AI tools to "increase productivity" without fixing their broken processes are about to be really productive at doing the wrong things.
Nothing quite like watching a company spend six figures on an AI platform and then hand it to the same people who couldn't make a spreadsheet work.
Hot take: most businesses don't need an AI strategy. They need someone to finally admit out loud what the actual problems are.
AI doesn't care about your org chart, your approval workflows, or your 47-step procurement process. That's either terrifying or liberating depending on which side of it you're sitting on.
A startup with 3 people and a clear idea will now outship your entire IT department. Not because they're smarter. Because they don't have 6 months of committees standing in the way.
The real AI divide isn't going to be who adopted it first. It's going to be who understood their own business well enough to know where to point it.
Every company says they're data-driven. Then you ask where the data is and it's in 40 spreadsheets, someone's inbox, and a system nobody has the login for anymore.
Greg: You're on a roll, these are excellent. Give me more!
Claude:
The companies that'll win with AI aren't the ones hiring prompt engineers. They're the ones that already knew what questions to ask before AI showed up.
Love watching companies announce their "AI Centre of Excellence" while the rest of the business is still communicating by forwarding emails with "see below" and no context.
AI can now do in seconds what used to take your team weeks. Unfortunately it can also expose in seconds what your team was actually doing for those weeks.
Somewhere a consultant is selling a 12-month AI readiness assessment to a company that'll be unrecognisable in 12 months. Both parties seem fine with this.
The most dangerous person in business right now isn't the one who doesn't understand AI. It's the one who watched a YouTube video about it and now thinks they do.
Companies keep asking "how do we adopt AI?" when the real question is "do we actually understand how our own business works?" Spoiler: most don't.
Nothing will expose a company with no clear strategy faster than giving them access to tools that can execute at speed. Now you're just lost, but faster.
The gap between companies that get AI and companies that don't isn't technical. It's the gap between companies that think clearly and companies that hold meetings about meetings.
Bold prediction: the biggest AI failure stories won't be about the technology. They'll be about companies that automated their dysfunction and scaled it.
Stop asking your IT department to lead your AI strategy. They're not the problem and they're not the answer. This is a business problem wearing a technology costume.
Greg: Ok please stop, you're depressing me
Claude: Ha! Sorry about that. Turns out holding a mirror up to corporate dysfunction is a bottomless well.
On the bright side — you clearly see all of this, which is literally what Aperic is for. So at least you get to be the person helping companies fix it rather than the one sitting in the meeting about the meeting.
Want to pick the best ones and polish them up for posting?
Greg: Nah I'm just gonna post this whole thread, **** it!
Claude: Honestly? That might actually be the most LinkedIn thing you could do. Raw, unfiltered, and people will absolutely eat it up.
The "AI generated a roast of corporate dysfunction and even the guy posting it got depressed" energy is chef's kiss.
Go for it.
Greg: Would you mind putting this conversation in a markdown file and structure it like the conversation we had please, I’m too lazy to format it. oh and can you give it an appropriate title.
Claude: There you go. Go burn LinkedIn down. 🔥
