The United States contributes the largest single-country share of activity this series examines — and has one of the least settled legal environments for it. It is a high-volume case, not a reference case.
Most of the corporate outcome evidence in this series is American: the neurodiversity hiring programs whose measured productivity and retention results form the empirical backbone of the argument. Most of the peer-reviewed research on AI collaboration and neurodivergent working styles is American as well — including the study that found autistic workers strongly preferred LLM-generated responses over human-written messages.
The country-level data is unusually concrete. The National Autism Indicators Report found 58% of young adults on the autism spectrum worked for pay between high school and their early twenties, with roughly a third disconnected from both work and education. The Centers for Disease Control estimate autism at 2.21% of US adults (2017 data) and 1 in 31 eight-year-olds (2022 surveillance) — a gap that reflects historical under-identification of the adults now in the workforce.
The demand side is equally concrete: a projected ~340,000 data-center job shortfall by end of 2026 (iRecruit, a commercial survey), and more than $162 billion in projects blocked or delayed between May 2024 and June 2025 (a trade-press aggregate; CNBC, Data Center Dynamics, Reuters).
The United States has no single statute doing what Germany's EnEfG and the Netherlands' "no, unless" test do. Instead, the community-benefit test is being written now — county by county, jurisdiction by jurisdiction — negotiated rather than legislated. That is the current shape of the legal environment, not its absence.
The working shape already exists — but it is not a defense contractor. It is purpose-founded social enterprise: Specialisterne, founded in Denmark in 2004 by Thorkil Sonne after his son's autism diagnosis, with more than 10,000 placements across 13 countries; and auticon, founded in Berlin in 2011, the world's largest autistic-majority IT employer, with 552 staff, 79% neurodivergent, and nine in ten of its autistic hires previously unemployed. The United States contributes the evidence base and the scale of the test — not the cleanest working model.
The values-alignment hypothesis this series advances — that a workforce selected for pattern recognition resists greenwashing — predicts its strongest effect where offset accounting is most practiced. The United States is one such setting. A company that makes that argument about a market in which it operates is making a falsifiable claim about that market, not claiming an exemption from it.
Whether existing practices harden into statute, contract, or neither remains open. The United States is best treated as one quantified case among several in this series: a concentrated evidence base, large demand signals, and an unsettled legal environment.