The focus of my work today
AI expands what we can do. My work asks how more people get to contribute, shape decisions, and share in the value created.
Start with Decode. Rebuild. Contribute. ↘01 / Before the solution, the friction
The habit I want us to question: finish learning, collect qualifications, send applications, and wait for someone to choose you.
Education and applications still matter. The gap appears when they become the entire strategy: little real-world practice, little visible evidence, and few people building with you.
Students / Before the first opportunity
In the classroom, the assignment tells you what to solve. At the first application, you must explain what you can contribute. Waiting until graduation to test that leaves less room to learn from real people.
Professionals / When the role changes
A CV describes yesterday. A private course or unfinished project stays invisible. Fear of sharing imperfect work can keep new capability out of sight just when a transition makes it matter.
Organizations / When change needs people
Titles, profiles, and separate community channels can leave useful knowledge scattered. People may be available without their interests, current work, or willingness to collaborate being discoverable.
The pressure is measurable
Three signals, with their original scope.
Q2 2026. Graduates aged 22 to 27 working in jobs that typically do not require a college degree.
New York Fed · Q2 2026 ↗Employer expectations for 2025 to 2030. A forecast from a global employer survey, not a measured loss of skills today.
World Economic Forum · 2025 ↗The 2025 report draws on more than 1,000 employers across 55 economies. This figure concerns their outlook for 2025 to 2030.
World Economic Forum · 2025 ↗Sources checked October 24, 2026. These figures describe different populations and periods. They do not establish that AI caused underemployment, or that DRC or Lana resolves it.
My diagnosis
A qualification does not show every new capability. A post does not guarantee relevant attention. An introduction does not yet create collaboration. We need to connect these steps.
02 / The solution we’re working toward
Participation means more than watching or clicking. It means being able to contribute, influence what happens, and benefit from what gets created.
That is the problem behind Lana: making relevant people, knowledge, and opportunities easier to discover within a community.
Lana is starting with students in a closed beta. It is a tool for this work, not the whole answer.
Ask me on Lana ↗03 / The framework you can use
Unlearn the habits that keep you waiting. Relearn through action. Make your work discoverable so other people can join you.
Unlearn inherited assumptions about learning, careers, and being chosen. Question the script, then choose a real problem and who it matters to.
Relearn by taking action early. Make a small attempt, use AI thoughtfully, and document your decisions before the work feels perfect.
Attract people through useful work. Reach them deliberately, invite a specific contribution, and turn shared interest into something you create together.
What you learn together informs what you decode next.
Content is also a record of your work: context that people, and AI systems with access, can use to understand what you do. Distribution makes it discoverable. Collaboration gives it a shared purpose.
Open the practical blueprintOne focus. Different ways to work on it.
This is the thesis guiding my work today. Earlier work shows how I got here.
