The initial wave of AI-driven efficiency isn't leading to widespread US layoffs. Instead, it's allowing American companies to bring repetitive tasks back in-house that were previously outsourced to countries like India and the Philippines. This suggests immediate job displacement will occur abroad.
The reshoring trend isn't about replicating traditional manufacturing. Instead, the U.S. gains a competitive advantage by leveraging automation and robotics, effectively trading labor costs for electricity costs. This strategy directly challenges global regions that rely on exporting cheap human labor.
Unlike past industrial shifts, AI's impact won't be contained to specific industries. Once AI can perfectly replicate a human worker behind a keyboard, video, and mouse, it will trigger a simultaneous displacement wave across all remote-capable jobs.
The common fear of AI eliminating jobs is misguided. In practice, AI automates specific, often administrative, tasks within a role. This allows human workers to offload minutiae and focus on uniquely human skills like relationship building and strategic thinking, ultimately increasing their leverage and value.
Just as NAFTA brought cheap goods but eliminated manufacturing jobs, AI will create immense productivity via a new class of "digital immigrants" (AIs in data centers). This will generate abundance and cheap digital services but risks displacing vast swaths of cognitive labor and concentrating wealth.
A powerful mental model for the future of work is a three-step pipeline. If a job can be done remotely in a high-cost country, it can be offshored to a low-cost one. Once offshored and process-driven, it becomes a prime target for AI automation. This positions remote work as a transitional phase, not an endpoint.
The adoption of generative AI, such as Canva's GPT integration, is first impacting freelance labor in countries like the Philippines. This trend shows accessible AI tools initially replace easily outsourced, lower-cost international workers, not domestic professionals.
While high-profile layoffs make headlines, the more widespread effect of AI is that companies are maintaining or reducing headcount through attrition rather than active firing. They are leveraging AI to grow their business without expanding their workforce, creating a challenging hiring environment for new entrants.
The initial impact of AI on jobs isn't total replacement. Instead, it automates the most arduous, "long haul" portions of the work, like long-distance truck driving. This frees human workers from the boring parts of their jobs to focus on higher-value, complex "last mile" tasks.
Industries with fixed demand (accounting) will see job losses as AI handles the necessary workload. Sectors with expandable demand (software engineering) may absorb AI's productivity gains by creating vastly more output, thus preserving jobs for a longer period.
The real inflection point for widespread job displacement will be when businesses decide to hire an AI agent over a human for a full-time role. Current job losses are from human efficiency gains, not agent-based replacement, which is a critical distinction for future workforce planning.