There's a structural shift happening quietly across a lot of professional fields that doesn't get discussed nearly as much as it should. The traditional path for developing expertise, starting with the simpler, more repetitive tasks in a field and gradually working up to more complex judgment-intensive work, depended on those simpler tasks existing in meaningful volume. AI is absorbing a significant share of exactly that entry-level work, and almost nobody has fully worked out what replaces the learning path that used to run through it. This isn't just a hiring or training logistics problem, though it shows up there too. It's a pipeline problem with a genuine long-term time cost, because the people who would have become tomorrow's experienced judgment-holders, the senior professionals whose accumulated pattern recognition makes them fast and reliable at complex decisions, aren't getting the repetitions that used to build that judgment in the first place. ------------- Context ------------- Historically, junior professionals in most knowledge fields learned their craft substantially through volume: doing the simpler research tasks, drafting the more formulaic documents, handling the routine client interactions, before graduating to more complex and judgment-intensive work. This wasn't an inefficient use of junior time. It was, functionally, the training mechanism. The repetition built pattern recognition. Making mistakes on lower-stakes work and getting corrected built calibration. The accumulated volume of these experiences is what eventually produced professionals capable of handling genuinely complex situations with good judgment. AI has compressed the value of having a junior person do this work directly, because AI can often produce the initial draft or analysis faster and at comparable quality to what a junior professional would have produced after significant time investment. The economic logic for many firms increasingly favors using AI for this tier of work rather than assigning it to junior staff, which is individually rational for any given task but collectively removes the volume of repetition that used to build junior expertise over time.

Please give me some love all. I know I'm posting VERY late as I've been busy learning AI. And I'm so excited. I work a full time job with overtime but I can only do this in small pockets of time right now so it's mostly on Saturday's and Sundays. I created a company name for the business I want to start. "I help Pre-retirees and career changers how to find their niche and start a business with AI (Claude). I wrote a how to find my niche pdf and made an app, posted it in Gumroad & Beehiiv and now I need to create PDF's which is where I'm slowing down at because I don't know exactly what I'm going to teach yet. I pray this is a good idea as it has me up nights thinking about it. I started a book for my Grandkids with Claude. I built a profile of general information on each of my family members, shared our dream of moving to Oklahoma near all 8 of my Grands, and what we want that to look like. We started an adventure book we are 6 general chapters into a 12 chapter mini book for them with one illustration I created in Gemini for the cover. I'll do the illustrations later in Gemini as I found those to be quite fun also.

Claude Cowork, ChatGPT Work and now the new Gemini Spark are all AI agents vying for your attention and time. But which one should you actually be using in your work? In this video, I'll help you answer that question by putting all three through testing and comparing the outputs so you can figure out which AI agent is best for you. Discover 10 practical ways to use ChatGPT Work to save time, organize your workload, and move projects forward faster: https://learn.aiadvantage.com/free-pdf Enjoy!

I’m not able to get the live version of this class due to my work schedule and I need to know where to access the video after it’s happened.

where is the about me google doc from the chat?