Computer Says Kill: The Blank Check to Beat China W/ Lis Siegel

The 2017 "New Generation AI Development Plan" sparked a media frenzy in Washington. Translators and analysts mistook vague language about becoming a "primary AI power" for a bold claim to dominate AI, overlooking the plan’s regional implementation and lack of concrete resources. Scholars note that China’s AI strategy is a patchwork of provincial incentives rather than a monolithic, top‑down directive, and that early mistranslations amplified a Sputnik‑style narrative that framed AI as the next geopolitical battleground.

In the United States, that narrative quickly morphed into a race story. Influential tech leaders like Eric Schmidt leveraged their advisory roles—most notably on the Defense Innovation Advisory Board—to push for a National Security Commission on AI, which he later chaired. The commission’s 2021 report cemented the AI‑race framing, unlocking a "blank check" of defense spending and accelerating procurement pipelines. This rhetoric eclipsed competing voices on responsible AI, redirecting resources toward rapid capability development rather than ethical safeguards.

The consequences are profound. By treating AI as a single, race‑to‑victory objective, policymakers have sidelined nuanced debates about algorithmic risk, humanitarian law, and long‑term strategic stability. The episode illustrates how misread policy documents, translation quirks, and charismatic storytellers can reshape national security priorities, inflating budgets while muting ethical considerations. For business leaders, recognizing the constructed nature of the AI‑race narrative is essential to navigate funding trends, regulatory shifts, and the broader geopolitical landscape.