AI risks could repeat China shock that cost jobs, former US commerce chief Raimondo warns

TEXT START: The rapid and unbridled development of artificial intelligence (AI) has the potential to disrupt the US economy in a way that is comparable to the “China shock” that displaced American workers, former US commerce secretary Gina Raimondo warns.

The Dissection

The text is performing a warning-and-containment maneuver. It acknowledges that AI can destroy employment, then packages the threat as a familiar policy failure: another China shock that better planning might mitigate. Its real function is to convert a possible systemic break into a manageable episode of economic transition.

The Core Fallacy

It treats AI as if it were an external competitive shock concentrated in one sector. The China shock displaced manufacturing labor through import competition. AI can attack cognitive work across nearly every sector while also improving the machinery that replaces it. That is not merely job churn. Under the Discontinuity Thesis, it threatens the wage-to-consumption circuit itself.

Planning may delay the damage, redistribute income, or preserve consumption. It cannot restore the displaced labor’s productive necessity once AI achieves durable cost and performance superiority. The article mistakes a lag defense for a reversal mechanism.

Hidden Assumptions

The piece smuggles in several assumptions:

• Displaced workers will find equivalent new work.
• The disruption will remain sectoral rather than economy-wide.
• Retraining and industrial policy can preserve human economic centrality.
• AI will remain a tool controlled by labor rather than capital owners.
• Institutions can coordinate a stable human-only economic domain at scale.
• Preserving consumer purchasing power will preserve productive participation.

None of these assumptions is established by the article. They are simply inherited from the old economic order.

Social Function

Classification: partial truth, transition management, and ideological anesthetic.

The warning is real: unmanaged AI adoption can produce severe labor-market disruption. But the China-shock analogy makes the threat look historically familiar and therefore governable. It invites policymakers to administer the corpse—through retraining, subsidies, and transfers—while avoiding the harder conclusion that the employment system may be losing its structural foundation.

The Verdict

Raimondo identifies the smoke but misidentifies the fire. The China shock was a brutal regional and sectoral displacement. AI is potentially a general-purpose assault on the necessity of human labor. Calling it another transition encourages the fantasy that competent management can preserve the post-WWII bargain. At best, planning can slow the collapse and stabilize consumption. It cannot make obsolete labor economically indispensable again.