Ep 847: How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs (Start Here Series Vol 6)
episode
Everyday AI Podcast – An AI and ChatGPT Podcast
28 min
2 speakers
7 chapters
transcribed 27 days ago
Transcript
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Transcript generated automatically by AI and may contain errors.
Why is there a massive AI training gap in most companies?
Welcome to the Everyday AI podcast. My name is Jordan Wilson, and for the past three and a half years, we put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on the Everyday AI podcast? And that's why we started the Start Here series. And with Fall now back in full swing, the Everyday AI podcast is Is going back to school and playing back the entire Start Here series from front to back. We've hit pause on our normal Monday to Friday programming to run back our most popular series ever for the next 30 days. We made the Start Here series for beginners and AI champions alike. So whether you're just trying to get a grasp on large language models or grappling with the best coding harness for multi-agentic.
Workflows, the Start Here series covers it all. Plain language, no jargon, and easy to follow along each day. So make sure to subscribe to the podcast and check back each day for new insights day by day. The series is a culmination of spending more than 10,000 hours covering generative AI over the past three and a half years. So you don't want to miss a single episode of the Start Here series. Let's get into it. Companies will spend millions of dollars on AI. I mean, they'll buy thousands of enterprise seats for Microsoft 365 Copilot or ChatGPT Enterprise or whatever it is. CEOs will stuff as many AI-related buzzwords as they can at their weekly all-hands meeting to make it seem like they're on the cutting edge.
But they're skipping something. The most basic thing. teaching their employees how to actually use whatever large language model they're providing. I've seen a sizable gap in 2026 starting to form in corporate America between the have and the have nots. I'm talking about the have trained their employees and the have not trained their employees. And if I'm being honest, I would say like 90% or more of companies fall in the latter group. Your company would probably fall there too. But why? Well Don't worry. Even if you are in that latter group of yeah, my company hasn't trained. Uh, us or if you're the CEO, we haven't trained our people on AI. I'm gonna lay that out for you on today's show as part of our start here series, volume six.
We're going over how to train your team on AI, the seven steps to educate your organization on using large language models. All right. I hope you're excited for this one. I am too. If you're new here, great. This is a great place. Place to start. After doing this everyday AI thing for uh three years and more than 700 episodes, one of the most common questions is where do I start? You have so many podcasts. That's why we started the Start Here series. Uh so if you haven't already, please go to starthieries.com. That'll give you free access uh to our inner circle community. And then in that start here series space. You can go and listen to every single podcast. You don't got to look around. Uh, you know, if you want to watch the video version, it's all there.
But this is the essential. podcast series to both learn the AI basics or to double down on your AI knowledge. So uh last week in volume five, so you can go listen to that episode 703, we talked about AI hallucinations, what they are, why they happen, and the right way to reduce the risk, which is a great transition into actually training your team on AI. Uh right. Notice I didn't start with that on volume one, right? We had to go over the basics. We had to, you know, understand all the jargon. We had to really tap into the AI mindset and you know talk about hallucinations and some of these other things. But uh let's get straight into it. And this is gonna be a quicker episode because I don't want it to get drowned out in the normal, you know, sometimes fluff that I might bring.
But the gap that I'm talking about is alarming. So according to a McKinsey study, 92% of companies plan higher AI investment, but only 1% call their deployments mature. Yeah, I wasn't making it up when I said the gap is sizable. So that's like every single executive saying, yeah, AI is the most important thing and we're doubling down.
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Chapters
7 chapters
1
Why is there a massive AI training gap in most companies?
0:00–6:46
2
How should AI‑first leadership get started before training the rest of the team?
6:46–11:43
3
What’s the best way to choose and commit to a single AI platform for the organization?
11:43–15:57
4
Why must broken workflows be fixed before adding AI tools?
15:57–19:59
5
How can organizations document procedures (not just data) for effective AI implementation?
19:59–25:25
6
What practical hands‑on activities should be mandated to ensure real AI outputs?
25:25–27:41
7
How do teams transition from AI operators to AI orchestrators?
27:41–28:31
Speakers
2 identifiedMore from Everyday AI Podcast – An AI and ChatGPT Podcast
Ep 866: Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25)
Ep 862: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21)
Ep 861: The 7 Silent Sins of Doing AI Right: How to Spot and Overcome the Invisible AI Work Traps (Start Here Series Vol 20)
Ep 860: Managing the AI Capability Gap: AI Is More than Ready. Most Companies are Not (Start Here Series Vol 19)
Ep 859: The Vibe Coding Boom: Why Vibe Coding isn't Going Away and How it's Both Good and Bad (Start Here Series Ep 18)
Ep 858: Responsible AI Playbook: What It Means and 5 Moves to Ensure Your AI Strategy Survives (Start Here Series Vol 17)