By 2028, Washington Will Split Open Models by Lineage

We forecast that by the end of 2028, US federal procurement will require buyers to certify the lineage of every model they use and will exclude Chinese-derived open weights, while Chinese families still carry most open-model use worldwide.

Key points

Our forecast

By 31 December 2028, a binding US rule (a FAR clause, a DoD procurement requirement or an equivalent agency mandate) will require federal contractors to attest that deliverables contain no weights, adapters or distillations derived from covered Chinese model families. At the same time, Chinese families will still account for more than half of open-model tokens on neutral routers. About 65%.

Why we think so

The series points one way. The signal scan found the open layer anchored in China: about 61% of OpenRouter tokens and about 70% of new derivatives built on Qwen1. Contradictions showed this dominance holds even though open models trail the closed frontier by about four months2. Usage share doesn't depend on catching the frontier. Research depends on these weights too. Open weights appear in 44% of single-model-family papers, and Chinese families make up about 60% of those choices3. That is too deep a dependence to unwind through market pressure alone. Only a legal rule could split it.

Convergences identified the likely trigger. Closed models already find zero-days faster than anyone can patch them4. Criminals have already built a working exploit with an LLM5, and Chinese state actors already sit inside US carrier routers6. With a four-month lag, an open model with comparable offensive skill is plausible by late 2027. When one appears, Washington will want a lever, and weights cannot be recalled once released. Procurement is the lever it can pull without new legislation.

Implications showed the government is willing to use it. The Pentagon labelled a domestic AI firm a supply-chain risk and ordered contractors to certify they didn't use its models7. A court struck that down as retaliation, but a rule aimed at foreign-lineage weights would stand on much firmer legal ground. Framing AI as a race for superintelligence makes the rule easier to justify, because it treats every downloaded model as a national asset or a national liability.

Global usage won't follow the rule. Token prices are at record lows, and Chinese hosts compete on price. Outside the federal perimeter, builders have little reason to switch.

How this call fails

It is 2029 and we were wrong. The most likely story is that the administration's industrial policy won out. The same race framing that justifies restriction was used to defend openness, as the 270-organization letter against release limits argued, and officials settled on softer measures such as disclosure or voluntary guidance. A second path is that a strong US open family retook the top open slot, so the problem looked like it was solving itself. A third is that Washington acted more broadly and restricted downloads or hosting outright. That would be a different forecast, and our procurement claim would miss by overshooting.

Who loses

First moves

What would change our mind

Sources

  1. Chinese open-weight models dominate real-world token use and derivative models · institutional
  2. Best open-weight models trail the closed frontier by about four months, and the gap has widened slightly · grey-lit
  3. Open-weight use in science reaches 44%, driven mainly by Qwen · peer-reviewed
  4. Mythos-class AI finds more than 10,000 high/critical vulnerabilities across every major OS and browser · disclosure · also helpnetsecurity.com
  5. Google confirms the first AI-generated zero-day used in a planned mass-exploitation campaign · disclosure · also cnbc.com
  6. Chinese state actors hold persistent access inside US ISP backbone and provider-edge routers · institutional
  7. The Pentagon labels a leading US AI company a 'supply chain risk'; a court rules the label unlawful retaliation · journalism · also cnbc.com
  8. NERC issues a rare Level 3 alert after 1,000+ MW data center loads drop off the grid in seconds · journalism · also powermag.com
  9. DOE models a 100x rise in US blackout risk by 2030 as load outruns firm capacity · institutional
  10. The legal basis for US cyber threat-sharing survives on short-term extensions while CISA loses staff · journalism · also congress.gov

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