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AI reduces the penalty for weak domain context. Once the work is packaged like that, the “thinking part” becomes far easier to offshore because:
- Training time drops as you’re not teaching the whole craft, you’re teaching exception-handling around an AI-driven pipeline.
- Quality becomes more auditable because outputs can be checked with automated review layers.
- Communication overhead shrinks with fewer back-and-forth cycles when AI pre-fills and structures the work.
- Labor arbitrage expands and the limiting factor stops being “can we find someone locally who knows our messy process” and becomes “who is cheapest who can supervise and resolve exceptions.”
So yeah, the jobs mostly remain and some people become more valuable. But the clearing price for that labor moves toward the global minimum faster than it used to.
The impact won’t show up as “no jobs,” it is already showing up as stagnant or declining Western salaries, thinner career ladders, and more of the value captured by the firms that own the workflows rather than the people doing the work.