Attracting and retaining talent will be critical in deciding whether the United States can stay ahead of China in the race to build out Artificial Intelligence technologies — an obvious lesson that now appears lost on American policymakers, but not on China.
Too bad the majority of H1-B’s are going to entry level jobs at convenience stores- maybe those cashiers from Punjab are secretly AI geniuses stuck working a register. 😂😂
The piece assumes, without proving, that qualified Americans cannot fill these AI roles; citing immigrant founders, foreign graduates, or H-1B usage is not empirical evidence of a domestic labor shortage. It also treats uncertain and inconsistently defined AI-job estimates as if they support precise conclusions, then leans on simulations about wage-ranking as though modeled outcomes were proven real-world results. Most of all, the China framing is a pressure tactic: invoking China and national security does not prove H-1B expansion is the best answer, especially when the article barely addresses domestic training, retention, wages, or employer incentives.
This is false. H1-B's are a LIABILITY, not an asset. The program should be completely shuttered and all existing ones cancelled.
UNFOLLOWED.
Too bad the majority of H1-B’s are going to entry level jobs at convenience stores- maybe those cashiers from Punjab are secretly AI geniuses stuck working a register. 😂😂
*H-1B.
In lieu of, correcting a simple typo perhaps we could all apply neutral critical thinking
1. Begging the Question fallacy — assumes Americans cannot fill the jobs.
2. Appeal to Fear fallacy — uses China threat as proof.
3. False Dilemma fallacy — frames it as H-1Bs or lose to China.
4. False Precision fallacy — uses exact numbers from uncertain estimates.
5. Hasty Generalization fallacy — draws broad conclusions from limited indicators.
6. Unsupported Causation fallacy — assumes more H-1Bs means more competitiveness.
7. Selective Evidence fallacy — highlights only evidence supporting the claim.
8. Conflation fallacy — blends separate claims into one conclusion.
The piece assumes, without proving, that qualified Americans cannot fill these AI roles; citing immigrant founders, foreign graduates, or H-1B usage is not empirical evidence of a domestic labor shortage. It also treats uncertain and inconsistently defined AI-job estimates as if they support precise conclusions, then leans on simulations about wage-ranking as though modeled outcomes were proven real-world results. Most of all, the China framing is a pressure tactic: invoking China and national security does not prove H-1B expansion is the best answer, especially when the article barely addresses domestic training, retention, wages, or employer incentives.