AI adoption is not limited to tech and white-collar work; it has become a universal business consideration. For example, a lumber mill in Vermont is using AI to sort planks, a task for which they struggled to hire skilled labor. This shows AI is being deployed as a practical solution to specific, localized labor shortages in legacy industries.

While consumer AI gets the hype, the most significant impact in the next 5-10 years will be adding autonomy to physical machinery in industries like farming, mining, and construction. These sectors are facing labor shortages and desperately need automation.

Robotics and automation do more than increase productivity in industries like mining. They enable operations in previously inaccessible locations—areas too remote, dangerous, or regulated for a human workforce. This fundamentally changes the calculus of resource extraction and expands what's economically viable.

Brendan Foodie predicts that as AI automates digital roles, the displaced workforce will shift to physical world jobs (from robotics data creation to therapy). He argues this is because physical automation progresses much slower than digital automation, which benefits from rapid, self-reinforcing feedback loops.

An aging population, falling birth rates, and lower immigration are creating a labor supply crunch. This makes AI adoption not just a business choice for efficiency, but a potential macroeconomic necessity to offset powerful demographic headwinds and sustain long-term growth.

AI is rapidly automating knowledge work, making white-collar jobs precarious. In contrast, physical trades requiring dexterity and on-site problem-solving (e.g., plumbing, painting) are much harder to automate. This will increase the value and demand for skilled blue-collar professionals.

The fundamental economic shift is not just job automation but an inversion of roles. AI, as pure intelligence, will become the employer, hiring humans as contractors for physical tasks it cannot perform, like visiting a warehouse or collecting brochures. Intelligence becomes a cloud commodity, while physical presence becomes the service.

The fear of AI taking jobs is misplaced. With declining populations and aging workforces, essential industries like farming and trucking face severe labor shortages. AI-driven autonomy isn't a threat but a timely solution, filling critical gaps that humans are increasingly unwilling or unable to fill.

Most AI applications are designed to make white-collar work more productive or redundant (e.g., data collation). However, the most pressing labor shortages in advanced economies like the U.S. are in blue-collar fields like welding and electrical work, where current AI has little impact and is not being focused.