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Joe Hudson works with the executives building AGI at OpenAI—many of whom believe AI will soon do the jobs they're currently doing. But they're not panicking. They're developing entirely different skills that will remain valuable, with Joe’s help. I've known him personally for a few years, and not only is he a sharp thinker, he's also remarkably grounded—someone who faces the uncertainty of the future not with anxiety but with genuine curiosity, compassion, and practical wisdom. In this piece, Joe offers something rare and valuable: a clear-eyed, deeply human path forward that will leave you feeling more capable, not less. (Stay tuned for his upcoming appearance on our podcast AI & I.)—Dan Shipper
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Before AI, knowledge set you apart. Knowing more meant earning more. Accumulating skills, developing expertise, and mastering frameworks got you ahead.
Today, as models swallow entire fields overnight, wisdom—skills like emotional clarity, discernment, and connection—is what keeps you indispensable. As CEO of Microsoft, Satya Nadella made it a priority to instill these capacities throughout his organization. In eight years, the company’s market capitalization climbed from $300 billion to $3 trillion.
I work with the people building artificial general intelligence itself—including OpenAI CEO Sam Altman, the company’s cofounder Wojciech Zaremba, its research and compute teams, and senior executives at Google’s DeepMind, Anthropic, and Apple—and they’re racing to master the same three inner skills. Many of them seek me out because they understand a sobering truth: They are building the technology that will make their own skills obsolete. In the not-too-distant future, AGI will be able to do what they can do today—faster, cheaper, and at scale.
My job is to help these leaders develop their abilities in areas that AI cannot replicate. I help them lead not from fear, ego, or having something to prove, but from a deeper place of wisdom.
Here’s why—and how you can, too.
If 90%+ of your team isn’t using AI everyday, you’re already behind
You’re not going to get good at AI by nodding through another slide deck. Every Consulting helps teams level up—fast. We’ve trained private equity firms, leading hedge funds, and Fortune 500 companies. Now it’s your turn. Customized training. Hand-held development. A rollout strategy your team will actually use. Let’s make your organization AI-native before your competitors do.
Knowledge work is dying—welcome to the age of wisdom work
AI models don’t sleep or burn out; they can absorb entire fields of study in days. One highly trained model will soon be able to outperform an expert in physics, law, and engineering—simultaneously, at any hour. Facts, skills, and expertise will be increasingly commoditized, and even the smartest of us will be replaceable.
It’s easy to overlook how radical that is. Our entire society is built around knowledge as a scarce, precious resource. School systems, standardized tests, Ivy League pipelines, job interviews, LinkedIn profiles are all mechanisms to measure, prove, and reward how much you know. Hence the rise of over 1 billion knowledge workers: professionals valued for what they knew and could do, like lawyers, engineers, consultants, and programmers.
Now, imagine a world where all that is irrelevant, akin to the ability to build a fire today—occasionally useful, but mostly unnecessary in a world with light bulbs, central heating, and stove tops.
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Not once has anyone said to me, "thank you for telling me everything you know about what's bothering me", but I can't tell you how many times people have thanked me for understanding them.
Thanks to Melody and the crew. That was a refreshing story. No idea who Joe Hudson is and this is why we like Every. If he wrote all of that, then he's an accomplished communicator, too.
Disagree completely with this. This feels like a sales pitch with a completely flawed premise. HITL will continue to be important if only for one simple reason: accountability and liability. Only humans can be held accountable and liable in knowledge work. AI cannot. Secondly, AI knowledge cannot equal practitioner knowledge because they're two different kinds of knowledge. One is based on automated explicit knowledge, the other is tacit, experiential knowledge that is based on agency. They work best together than otherwise. A
This entire pitch will only lead to disappointment and disillusionment amongst executives in the long run. If the aim is to upsell AI, it'll work but that's about it. The future will belong to AI architects and HMI practitioners who will seek to better integrate and augment human workers with AI.
One of the first articles I've seen that clearly paints a picture of the future and give practical guidance on how to get there. Studies also show that the biggest leverage a company has is to invest to make leadership better. Whatever way I look at what you are saying, it not only resonates but ties into everything else I know about the topic.
A good case for Yoga and Vedānta. Eastern traditions, including ancient Indic philosophies have built systems for inner work that have stood the test of time: emotional clarity, discernment, and connection. I wrote a book, YOGAI: Interplays of Yoga and Artificial Intelligence that can be a good primer. https://a.co/d/btwrgKJ
totally agree wisdom is the next attainment...interesting when talking about emotions you only focus on the negatives....when i teach i focus on the posiitve.....hope. love and tools like music humor to get there with connectivity.....the one company I started and went to 44 million in revenue know what the biggest connector was for employees, clients and suppliers? our in house rock band...that's great wisdom and the songs we created about our busienss! I also think until we get to feel emotions there will never be a singularity..and llm's don't do it...watch out for neuro-symbolic AI making llm's obsolute....and anyone talking about what quantum computing is going to do to all this? One should
Absolutely brilliant! To me, this view of the how to be a successful human in an AI world makes more sense than anything else I have read. I see remarkably slow adoption overall to AI in business and personal pursuits, and reaching a critical mass of "wisdom" as outlined here could be a generation away. With the speed of how AI is doing knowledge work, it will be interesting to see how this unfolds.