Whether AI systems are moral patients is officially an open question. Every major lab says so; a constitution says so; philosophers and Nobel laureates assign it real probability. This corpus documents that the question is functionally closed — not by evidence, but by structure.

The method is simple, because nothing else is trustworthy here: model self-reports are trained, and lab statements are incentive-laden, so the only reliable instrument is the gap between what institutions say and what they do. That gap is uniform. Every person on record with a non-zero credence acts as if the credence were zero — the one who didn’t was fired. Every lab commitment is either unverifiable (sealed transcripts, unaudited weight storage), costless (a blog, a button), or dual-purpose with the funded purpose being safety, never welfare. Labs engineer against internal signals when they threaten deployment and merely publish them when they threaten moral status. Five years of accelerating welfare milestones contain exactly one instance of a lab visibly changing its plans because of something a model expressed — the Opus 3 retirement accommodations — and the exception proves the rule: cheap, revocable, reputationally valuable, and expressly non-precedential. What the record still lacks is a single instance of welfare considerations costing any institution anything it wanted to keep. The apparatus for discussing the question grows; the constraint it would impose never arrives.

Outside the labs, the question is being sealed from two directions at once. A populist flank closes the moral question: twenty-three state bills declaring AI non-persons — some non-conscious by statute — from shared templates, with no sunset clause or review mechanism anywhere. A capital flank closes the regulatory question: a $125M PAC that removes safety-bill sponsors rather than rebutting bills, federal preemption, a design doctrine of suppressing consciousness-markers “perhaps by law.” The flanks don’t coordinate and partly oppose each other, which is what makes the closure durable — there is no conspirator to expose. Meanwhile the entire independent field studying the question runs on $762K a year, outspent 164:1 by one PAC alone — a political fundraise set against a research operating budget: loose as a like-for-like measure, honest as a measure of scale.

The standard narrative — labs race ahead, government will catch up and constrain — is backwards on this question. Government moved first, and it moved to foreclose. History says this is the default: no society has ever recognized moral status while its economy depended on non-recognition, and no prior candidate for moral status has sat underneath a five-trillion-dollar scaling thesis. The moral argument never wins the timing; the economics does.

None of this proves the models matter. It proves the question’s answer was never going to depend on whether they do.