For the last decade, the dominant narrative about AI and work has been a skill-gap story. Automation takes jobs; humans retrain; the economy absorbs the shock. We've seen this movie before, the argument goes — with the loom, the tractor, the assembly line. It always works out.
This time is different. Not because the technology is more powerful, though it is. Because what's being automated isn't a task. It's the structure of a human life.
Work, for most people, is not primarily about income. It is the organizing principle of identity. It determines when you wake up, where you go, who you see, what you contribute, why you matter. Strip it away and you don't just have an unemployed person. You have a person who doesn't know what they are anymore.
The retraining frame assumes there are equivalent jobs to retrain for. It assumes the crisis is a skill gap. It is not. It is an identity gap — and no coding bootcamp closes that.
The question nobody is asking loudly enough is this: what do you build for the humans who are between who they were and who they might become?
AI is not an evolution. It is a step function — a discontinuity in the development of intelligence that is happening faster than human institutions can adapt. The social contract that emerged from the Industrial Revolution — education, credential, employment, retirement, repeat — was designed for a world of comparative human advantage. That world is ending.
The abundance that AI promises is real. The disruption that precedes it is also real. And the gap between disruption and abundance — that valley — is where millions of people are going to land without a map.
We are not building a map. We are building a place to land.
Transition infrastructure is not a jobs program. It is not a shelter. It is not a university extension course.
It is a physical environment designed from the ground up to support human beings in the work of rediscovering who they are — what they love, what they're curious about, what they want to build, who they want to be — when the job description is gone.
It looks like:
The goal is not to produce graduates. The goal is to produce people who know what they're for.
This is not a theoretical proposal. There is a specific place.
In Springfield, Oregon — directly adjacent to Eugene, home of the University of Oregon — there is a 20-acre site with a 165,000 square foot facility sitting largely vacant. The construction firm that managed its build still holds the complete as-built plans.
The building was designed as a campus before that word was fashionable in corporate real estate. It has a full cafeteria and food service operation. A medical clinic. A fitness center. Classrooms and conference rooms. A small data center with existing rack infrastructure. A covered main entry on a transit line. And at its center: two enormous open floor plates flooded with natural light through extensive skylighting.
Those open floors are the key. They become indoor neighborhoods — covered streets where residential pods sit in natural light, where residents walk out their front door into a conditioned, walkable environment without confronting Oregon weather. A campus that is genuinely livable, not just habitable.
The remaining ten acres of undeveloped land become the Phase 2 expansion: new construction built with the most advanced techniques available, designed to demonstrate what future communities look like. Buildings that work with robotic systems from the ground up. Sustainable infrastructure as a baseline, not a feature. Architecture that says: this is what we can do when we build for human flourishing rather than for quarterly returns.
The existing data center feeds the entire campus nervous system — AI-assisted learning pathways, health monitoring, resource matching, community coordination.
The site is adjacent to major commercial infrastructure, on a transit line, in a university town. With autonomous vehicle deployment accelerating, its location becomes an advantage that compounds over time.
The owner is motivated. The timing is now.
Twenty-six years ago, I managed the construction of this building. I was the builder — I knew every system, every structural decision, every compromise that got made in the field. It was designed as a corporate call center for Royal Caribbean Cruise Lines, and it was built well. I was proud of it.
Even then, I knew call centers were temporary. The work was already becoming automatable. I watched it happen over twenty years — the slow erosion of headcount, the narrowing of what the humans in that building were actually needed for. When Royal Caribbean finally left during the pandemic, they left quietly. No ceremony. The building just... emptied.
I spent six years studying computer science, AI and machine learning, economics, and mathematics at the University of Oregon — not to change careers, but because I needed to understand what was coming. I came back to construction, but I never stopped thinking about the question underneath the work: what happens to the people on the other side of this transition?
Three years ago I started trying to acquire this property. The deal fell apart on timing. I let it go. Last month the current owners reached out to me — they found the person who built it and they want to know what should come next.
I think I finally know. Not senior housing, though that's part of it. Not a tech campus, though technology is woven into it. Something that didn't have a name until we started building it: a place for humans to cross the valley between the world that's ending and the one that hasn't fully arrived yet.
I've wanted to build something worth building for twenty years. The timing, the building, the moment in history — they've converged. That doesn't happen twice.
— Tim Cabble, Eugene, Oregon
The companies driving AI disruption — Anthropic, OpenAI, Meta AI, Together AI, and others — have stated missions around the long-term benefit of humanity. Most of them mean it. And most of them know, at some level, that the disruption they are creating will require transition infrastructure that the market will not naturally produce.
The ask is simple: you are the disruptors. Fund the infrastructure for the transition you are causing.
This is not a guilt argument. It is an alignment argument. These organizations need proof of concept projects — tangible, real-world, scalable — that they can point to as evidence that the development of powerful AI is accompanied by genuine investment in human wellbeing. This campus is that project.
Additional funding vectors exist and will be pursued in parallel: impact investors, federal and state senior housing and community development programs, foundation grants, University of Oregon research partnerships. The senior living component alone is fundable through conventional channels. The larger vision requires partners who think at the scale of the problem.
Because the hammer is about to drop. Because the window between disruption and abundance is opening faster than anyone predicted six months ago. Because the people who will need this place most are not yet displaced — and the time to build transition infrastructure is before the transition, not after.
Because there is a building, on twenty acres, in a university town in the Pacific Northwest, that was accidentally designed for exactly this purpose. Because the person who built it has held this vision for twenty years and finally has both the moment and the means to act.
Because proof of concept matters. The first campus that gets this right becomes the model. It becomes the thing that other cities, other investors, other developers point to and say: that. We want to do that.
We are not trying to save everyone. We are trying to demonstrate that saving everyone is possible — and to build the first place that shows how.
Crux Adjacent Labs is a research and development studio working at the intersection of technology, finance, and humanity-scale problems. We build things worth building.
For more information or to begin a conversation: tim@cruxadjacent.com