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Hello Reader, This year, I’m pivoting my business to teaching Generative AI.
“The best way to drive AI adoption is by marrying domain knowledge with foundational AI training. Generalist skills, creativity, and technical integration are more critical than deep specialization in today’s AI-driven world.”
- Bhavesh Dayali, Chief AI Officer, S&P Global
Marketing is being disrupted by AI, and there are a lot of out-of-work marketers competing for fewer and fewer gigs. I can see why people are hesitant to invest in marketing - if you can have robots do the same work for a fraction of the cost and time, why pay a human marketer? But the gap is…how do you replace a marketer, if you don’t know how to use GenAI proficiently yet? Farmers did not go obsolete with the invention of the tractor, and mathematicians did not disappear after the calculator. But there are fewer of those jobs, and the ones who survive are the ones most adept at using the new tools. I’m going to start writing to you weekly about these new tools, and provide the same sorts of practical edutainment you’ve seen from me in the past. Expect worksheets and videos you can use to upskill yourself with GenAI, along with a newly rebranded newsletter. Teaching, creating, and performing is what I most love to do, so pivoting to a teaching-based business model feels right to me. Stay tuned! I’d love to hear your feedback on my progress as I grow. Right now, I'm most interested to know: how are you using Generative AI in your work? What tools do you like, or what challenges do you face? Hit reply, I'm all ears. |
Weekly newsletter highlighting the latest AI news, with short video tutorials and copy/paste prompts you can use to improve your skills as an AI operator. As artificial intelligence moves from optional to operational, technical specialists no longer have the advantage. It is those who can supervise and coach AI to improve that will thrive in an AI-augmented future.
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🗄️ "Companies need to turn their workflows, domain knowledge, and accumulated judgment into AI systems that improve with each use. The companies that build this early will have an advantage that is hard to replicate, regardless of any new individual model capability." - Satya Nadella, CEO of Microsoft Hello Reader, The meat computers inside our skulls have a network, when working together on a team. The information stored on this network can be called institutional knowledge. The way the work...