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National resources are being misdirected to combat a manufactured immigration crisis. The actual, more significant threat to the American workforce is AI, which could eliminate half of all entry-level white-collar jobs. The focus should be on training the workforce for this technological shift, not terrorizing immigrant laborers.

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The immediate threat of AI isn't mass layoffs, but rather its impact on future hiring. During the next economic upswing, companies may opt to invest in AI-driven restructuring and reorganization instead of rehiring laid-off white-collar professionals, permanently reducing job opportunities.

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.

The introduction of AI and robotics into the labor force represents a disruption far greater than globalization. Unlike outsourcing to another country, AI introduces a competitor that is smarter, works 24/7, has no language barrier, and requires no benefits, fundamentally changing the nature of employment for human workers.

Former Commerce Secretary Raimondo argues that technological leadership in AI is meaningless if it leads to mass unemployment and civil unrest. True victory requires innovating social support systems with the same urgency as developing AI models and chips.

AI's impact on labor will likely follow a deceptive curve: an initial boost in productivity as it augments human workers, followed by a crash as it masters their domains and replaces them entirely. This creates a false sense of security, delaying necessary policy responses.

While AI may not cause mass unemployment, its greatest danger lies in automating the routine entry-level tasks that new workers rely on to build skills. This could disrupt traditional career ladders and create a long-term talent development crisis for organizations.

Frame AI not as a tool, but as a wave of "digital immigrants" with superhuman cognitive abilities. Similar to how the NAFTA trade agreement outsourced manufacturing, AI will outsource knowledge work. This will create abundance for some but risks hollowing out the middle class and social fabric.

The labor market faces a dual threat. Weak demand, linked to tariffs and deglobalization, has already pushed job growth to zero. As AI adoption accelerates productivity, it could further suppress labor demand, potentially tipping the economy into a state of net job decline.

Companies now find it more efficient to train AI tools for entry-level tasks than to train new human employees. This shift eliminates the crucial "learn on the job" pathway, creating a massive and immediate barrier for recent graduates entering the workforce.

Unlike past technological revolutions that primarily impacted blue-collar labor, AI is disrupting influential white-collar professions first. As noted by statistician Nate Silver, this dynamic has no political precedent, creating a novel and potentially explosive landscape as an educated, articulate class faces economic displacement.