Reinventing Work with AI

My high school graduating class had 99 people.

There was no calculus on the schedule. While some of us headed off to four-year colleges, others stayed local to master home economics, agricultural mechanics, and graphic design.

These were skills that seemed less prestigious at the time.

Twenty-five years later? I'm starting to think we had it backwards.

As AI transforms every corner of the economy, the students who learned to fix tractors and design flyers might just inherit the future.

They already know how to work with their hands, solve real problems, and adapt tools to get things done.

The script is flipping. It's not about choosing between traditional careers and technology.

It's about pairing them together.

AI-powered mechanics. Tech-savvy farmers. Digital craftspeople.

That's where the real opportunity lies.

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 📚 AIOS - This is an evolving project. I started with a 14-day free Al email course to get smart on Al. But the next evolution will be a ChatGPT Super-user Course and a course on How to Build Al Agents.

The right hires make the difference.

Scale your AI capabilities with vetted engineers, product managers, and builders—delivered with enterprise rigor.

Why the path to future-proof work isn’t just about using AI—it’s about owning your outcome.

AI is the most disruptive force in the history of labor—not because it simply automates tasks, but because it will soon outperform us in entire job categories. Whether that becomes a threat or an opportunity depends on how we choose to respond.

Start with the obvious: not all disruption is bad. Humanoid robots from companies like Tesla Optimus and Figure AI are already in pilot use for roles that are dirty, dull, or dangerous.

Jobs with high fatality rates—like mining, chemical plant operations, and scaffolding—may soon be handled by machines. As Judge Smails said to Danny Noonan in Caddyshack—“the world needs ditch diggers, too”—is losing relevance.

This is more than progress; it’s a chance to reimagine work itself. Escape from the trap of long hours, low wages, and zero fulfillment isn’t a dream—it’s a design challenge.

Every week, I talk with executives planning for their children’s futures. The conventional roadmap—computer science or a top MBA—isn’t as reliable as it once was.

Here’s what I tell them:

Einstein said, "Try not to become a man of success, but rather try to become a man of value." That’s not philosophy. It’s strategy.

Twenty years ago, if you didn’t know how to use email, a smartphone, or a word processor, you were unemployable in most professional settings. Today, the same will soon be true for AI.

Understanding how to prompt, interpret, and integrate AI tools won’t be optional. It will be a base-level skill like typing. You won’t need to know how it all works under the hood—but you will need to know how to wield it.

These are not edge-case skills—they’re becoming the default. AI will be embedded in the operating system of your work, your business, and your communication. If you can’t work with it, you’ll get replaced by someone who can.

Learning AI isn’t about becoming an expert. It’s about staying relevant.

I built the Artificially Intelligent Operating System (AIOS) to ensure that anyone—regardless of background—can gain the skills to capitalize in the age of AI. Whether you’re a business leader, operator, builder, or career professional, this platform is designed to help you apply AI, not just understand it.

You don’t need a PhD in machine learning—you need a practical framework for integrating AI into the work you already do.

Get started by enrolling now and you’ll be first in line for a new series of AIOS courses launching later this year.

Many tech workers are stuck chasing bonuses and RSUs at companies where their value creation fuels someone else’s equity. Bonuses are heavily taxed. Equity vests slowly. The upside is gated.

But what happens when that same skillset is redirected?

That’s not fantasy. That’s already happening.

Even Cloudflare CEO, Matthew Prince, called attention to this. In a now-viral post, he highlighted how dying local newspapers outperformed most VC-funded tech companies in user experience:

What does that tell us? Old doesn’t mean broken. Traditional businesses aren’t bad—they’re just waiting for operational leverage.

Warren Buffett understood this early. He launched Buffett Partnership Ltd. at 25 with just over $100,000 (only $100 of it his). He took control of Berkshire Hathaway in 1965. By 1986, at 56, he was a billionaire (Forbes). Not by building startups—but by acquiring cash-generating businesses and letting compounding work.

You don’t need a unicorn. You need a flywheel. Find boring businesses. Modernize them. Build trust. Leverage AI. Let time compound the return.

The three most dangerous addictions?

The future of work isn’t just employment. It’s ownership. And it’s accretive.

If you're deciding whether to go to college, pick up a trade, or start a business, you’re not just choosing a job—you’re making a 40-year investment decision. This tool helps you compare your options like an investor would. Instead of relying on guesswork or outdated advice, you’ll run the numbers and see which path offers the best return for your time, money, and effort.

This interactive prompt helps students evaluate post-secondary education options—college, trade school, or business ownership—using financial metrics like ROI, NPV, and payback period. It guides users through a menu to customize assumptions (tuition, salary, growth), runs a 40-year earnings simulation, and compares outcomes through charts and summaries. Designed to support informed, personalized decisions, it makes complex trade-offs clear and financially grounded.

I appreciate your support.