When someone asks "what do you do for work?" they're really asking about four distinct elements, bundled together: your income source, your identity, your skills, and your societal contribution. But technological advancement is forcing us to confront an uncomfortable truth: these four elements don't actually need to be connected. And after examining what happens when we unbundle them, only one element emerges as permanently tied to work itself.

We implement AI tools and save two hours a day on administrative tasks, then immediately fill those hours with more administrative tasks. But there’s a bigger opportunity in the space that efficiency creates.

Remember the story of Taco Bell's AI drive-thru? Customers trolled the system by ordering absurd things, like "18,000 cups of water," which the AI dutifully added before a human had to intervene.

When you no longer need to be the fastest processor in the room, you can become the best synthesizer instead.

Why do we use the "ladder" metaphor for economic mobility? A ladder is a solitary, linear climb. It provides no support for setbacks and creates a system where each person needs their own tool to succeed.

Our economic mobility sector is stuck in a myth: that training and placing people in jobs is still enough. It isn't.

When AI can make people so much more productive, why aren't more smart workers using it?

Traditional career advice tells us to pick a lane and stay in it. Build deep expertise. Become the go-to person for one specific thing. But what happens when your expertise is seeing connections across lanes? When your talents are in translation, adaptation, and rapid learning?

How to build community when you know you're leaving.

We've accidentally built a system where our best workers can't afford to succeed.

The most successful people I know aren't chasing their passion; they're building three distinct layers of career value that most of us confuse.

There's this thing that happens when you're about to ask for something important. Your palms sweat, your voice gets smaller, you catch yourself apologizing before you've even made the request.

Traditional AI defines intelligence too narrowly. What if we expanded its scope to include emotional, social, practical, and community-oriented intelligence?

Picture AI learning "street smarts" from local vendors, or empowering communities to pool wisdom for collective economic growth.

Nonprofits share a fundamental structural challenge: the client is not the customer.

Strategy is storytelling.