Bringing manufacturing back to the US won't mean a return of old assembly line jobs. The real opportunity is to leapfrog to automated factories that produce sophisticated, tech-infused products. This creates a new class of higher-skill, higher-pay "blue collar plus" jobs focused on building and maintaining these advanced manufacturing systems.

To find the leading edge of US reshoring, look beyond traditional industrial firms. Major technology companies like the "Mag7" are now aggressively hiring top-tier physical AI, robotics, and manufacturing talent. This signals a fundamental shift in where the most significant capital and innovation in US manufacturing are being directed.

Countering job loss fears from robotics, Jensen Huang points to a second-order effect: the massive need for maintenance. A world with a billion robots will necessitate the largest repair and maintenance industry in history, creating a new category of skilled jobs.

Amazon's plan to automate 75% of operations isn't just about job replacement; it's a fundamental workforce transformation. Future roles, even for hourly workers and managers in its facilities, will increasingly require knowledge of engineering and robotics to maintain the vast robot fleet, shifting the baseline for employment.

Amazon publicly projects it can double its massive retail revenue in the next 7-8 years using only automation, without adding a single employee. This showcases the extreme scale of its investment in robotics and the future of labor.

Gecko Robotics' strategy extends beyond its own hardware. The company is creating a "nervous system" – a data and application layer – to manage fleets of industrial robots from various manufacturers, aiming to orchestrate them to solve high-ROI problems like refinery maintenance.

The most effective career strategy for employees facing automation is not resistance, but mastery. By learning to operate, manage, and improve the very AI systems that threaten their roles, individuals can secure their positions and become indispensable experts who manage the machines.

The labor force for teleoperated robots could be sourced from the gig economy. Ride-share drivers, for instance, could operate robots during their downtime between rides, creating a flexible, scalable, and cost-effective pool of on-demand human operators.

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.