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DON’T make these obvious mistakes in AI change management 🚨 You could be wasting millions of dollars. If you were one of the 70 bajillion teams (rough estimate) that signed up for ChatGPT Team last week, here are some of the things you NEED to do. Save this 💾 —————————————— ✅ Tell everyone in your company to sign up (or require it, if you’re like me). Literally put it as a meeting maker in people’s calendars. Double check everyone signed up. Send reminders. ✅ Ask everyone to bookmark ChatGPT in their toolbar or set it as their homepage. Working with AI assistants is a muscle you need to flex. ✅ Select an internal AI task force. These folks should be cross department, not just engineering. Ex: you need a data policy approved by legal, you need a training plan of ChatGPT Team workspace versus Personal workspace. ✅ Name AI Champions. These folks should be the people who have been obsessively using ChatGPT in their daily lives for the last year, and again, not just engineers. Some of the best ideas I’ve seen inside enterprises have come from legal, marketing, ops, etc. You want folks at your company to see someone similar to them/people they look up to and respect—it’ll inspire adoption. ✅ Create an AI Slack or Teams thread where people can share fun AI wins (or questions/blockers) - make sure the task force is reviewing and helping as needed. I also have separate threads for AI tools and AI news. ✅ Launch a GPT Hackathon with cash prizes. Hackathon can last 1-3 days, teams should cut across departments. Make it FUN. Give people problem spaces to consider/solve and criteria. Top 3 get real cash prizes. Top 5 (or whatever number makes sense) get demo’d at next all hands. Record the entire event/presentations. ✅ As a PREQUEL to the hackathon, you’re going to run an AI training session for your WHOLE company, not just engineers. This is going to be several hours and FUN. If you’re in person, buy lunch. If you’re remote, give everyone $25 on DoorDash to get lunch delivered. You’re going to protect calendars so people can attend. Assume that knowing this information saves AT LEAST one hour a day for employees (extremely conservative estimate). That’s 12.5% of their time. That is thousands of dollars or more a year. It is worth the investment. Record the training and add it to internal wiki so people can rewatch. Require everyone to attend (live or async). Require new employees watch. Include a quiz. Track attendance by team/dept and incentivize managers to get to 100% participation. Include an open forum where people can ask questions or raise their hands and demonstrate a use case they love. Clip those demonstrations and share them in the Slack/Teams, tagging and thanking the speaker. BIG TAKEAWAYS: - Buying ChatGPT Team is 0.0001% of the work; you have to execute and deploy too - Focus on the people, not just the tech - Great ideas can come from ANYWHERE, work cross-dept - Incentivize people to build great things (exposure is nice but not sufficient) - Set up systems to increase awareness, consideration, and usage - This is both top-down (purchasing, budget allocation, ops) and bottom-up (socialization, collaboration, usage, flagging), you need both - There is no such thing as autopilot in change management, especially with new tech that some people fear Anything you would add? Anything surprise you? Let me know ⬇️ * this list is influenced by: me running ChatGPT Team inside my own business for over a month + me working on hundreds of AI use cases and advising across enterprise/SMB/startups + me reading my inbox with thousands of DMs complaining about AI internal usage + me teaching a popular AI business course to execs