AI disclosure is about to become a much bigger conversation for business owners. And I don’t think the most interesting question is: “Am I legally required to tell people?” For me, it’s: “At what point would my audience expect me to tell them?” Because there’s a lot of grey area now. You use ChatGPT to tidy up a post you wrote. Probably not controversial. It writes the entire post from a few bullet points. That starts to feel different... You publish an AI-generated image. What if it looks completely real? You use an AI version of yourself to record a video you never actually recorded. You use an AI agent to reply to a prospect who thinks they’re speaking to you. That’s where this gets interesting... For those of us building businesses, expert-led brands, communities, and offers with AI, we’re going to have to make some decisions not just about what’s technically allowed, but about the relationship we want to have with the people who trust us. For me, this is going to become a major part of how we think about using AI responsibly in business. Where do you draw your line? At what point do you think someone should disclose that AI was involved?

AI is making a LinkedIn problem worse right now; and most of us building AI offers are walking straight into it. A few weeks ago I onboarded a founder who'd been working with a strategist using AI tools to mass-produce his content. Daily posts. Beautiful carousels. Reels. The whole machine running at full tilt. Three months in: → 500,000+ impressions → Hundreds of comments → Zero sales calls → Zero inbound enquiries → Zero pipeline The AI wasn't broken. It was doing exactly what it was told. The strategy...now that was broken and AI just made it broken at scale. Here's the trap I'm watching midlife founders walk into right now: AI makes content cheap to produce. Which means everyone is producing more of it. Which means the bar for what actually converts on LinkedIn has gone UP, not down. More content ≠ more leads. More reach ≠ more revenue. If you're building, launching, or monetising AI offers and you want LinkedIn to actually move the needle for you, here's what's working across the client accounts I'm watching every week: 1. Use AI to research your audience, not just to write to them. Feed your call transcripts, sales objections, DM conversations, and customer feedback into a model. Ask it to surface the patterns you're missing. The questions your buyers are actually asking. The language they use that you're not using back. That's where the gold is; most people skip it and go straight to "write me a post." 2. Use AI to clone your voice, not replace it. The "sounds robotic" problem is real, but it's solvable. Build a voice model from your actual content — your past posts, voice notes, livestream transcripts. Then use it as a writing partner, not a writing replacement. The output should sound like you on your sharpest day, not like a LinkedIn template generator. 3. Build for depth, not just frequency. LinkedIn is rewarding learning content right now — articles, in-depth videos, newsletters that actually teach. Five posts a week of shallow AI-generated takes won't out-perform one piece of long-form content that genuinely helps your buyer think differently. AI is brilliant at helping you go deep faster. Use it that way.

🗓 June 15–17, 2026 We’ve got an incredible lineup of speakers coming in 🔥Here’s a sneak peek at who you’ll be learning from: Here’s your full speaker lineup: @Julie Butler — Get 100–300 Email Subscribers with One Simple Event + AI Calvin Hollywood — Skool + AI @Cristal Vancarson — Remote Headshot Photography @Bansari Panchal — How I Use AI to Run My Skool Community on Autopilot @Zokai Robinson — AI for Intuitive Builders @Berlyn Komar — Why Your AI Content Isn’t Converting @Olivia Radcliffe — A Day In The Life Of... @Martine Brown — Canva AI 2.0: 3 Touchpoints @Janay Trevillion — Vibe Coding & Stolen Time: Build a Business Backend That Runs While You Rest @Matthew Burns — Discoverability in the Age of AI @Ellyn Schinke — Stay Ready, Not Busy @Benjamin Ewert — YouTube + Claude @Lorri-Lynn Roche — Using AI Without Overwhelm @Destini Copp — Self-Selling Funnel AI System @Monna Tang — The Calm CEO’s Profit Plays @Valarie Smith — The Midjourney Style Anchor @Stacy Covitz — $5/Day Visibility With Meta Ads @Jen Hill Myers — AI Magic For Launch Challenges @Micki Kosman — Your Personal AI Support Team @Morag Kent — Make AI Sound Like You @Christina Rava — Sales Page in 7 Minututes @Nicky Williams — AI Can't Handle Your Energy @Jeanette Stein — Stop Rebuilding Your Business

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Just read an email from @Wendy Breakstone this morning… …and I couldn’t agree more. The internet is already declaring:“CustomGPTs are dead.” 🪦 Relax. This happens every time a new tool drops. OpenAI releases Workspace Agents → people assume everything else is obsolete. It’s not. Workspace Agents are built for internal teams. Your AI assistants? They’re client-facing. Revenue-driving. Scalable support inside your offers. Completely different role. But here’s the bigger conversation 👇 If your entire strategy depends on ONE platform… you’re going to feel this panic every single time something changes. Because it will. I’ve watched this for years with retail brands like Amazon and The Gap —there are always up cycles, down cycles, pivots, reinventions. Even when Instagram shut down for a day on October 4, 2021 😱 The ones who win don’t cling to tools. They build around what doesn’t change. 👉 Your IP 👉 Your frameworks 👉 Your methodology That’s the asset. You can move it. Rebuild it. Repackage it. The platform is just the container. So instead of asking:“Is this dead?” Start asking: 👉 “Am I building something that can evolve?” Because AI is going to keep shifting. Skool is going to keep evolving. Your business should too. Curious what your thoughts are? 👀 This is exactly what we’re diving into at the 𝗝𝘂𝗻𝗲 𝟭𝟱–𝟭𝟳 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘀𝘂𝗺𝗺𝗶𝘁 —how to stay relevant (and profitable) no matter what changes next. ADD THE DATES TO YOUR CALENDAR