OpenAI Publishes Draft Industrial Policy RFC, Sparking Immediate Debate in Tech Community

OpenAI’s “Industrial Policy for the Intelligence Age” landed on GitHub this week as a public‑readme, inviting anyone with a browser to comment on what the company calls a “democratic conversation” about governing superintelligence. The document’s authors argue that advanced AI will “permanently decouple human labor from economic value,” but a peer‑review posted alongside the draft flags eight structural vulnerabilities that could turn the policy from a safety net into a systemic hazard. The critique, authored by an open‑source collective that hosts the repository (OpenAI‑Industrial‑Policy‑RFC on GitHub), zeroes in on three core pillars of the proposal: a centralized public wealth fund, algorithmic safety nets, and a unified audit regime.

The first red flag, dubbed “The Valley of Inflation,” warns that the policy’s plan to fund adaptive safety nets and a public wealth fund with trillions of fiat dollars will likely trigger hyperinflation. According to the review, injecting massive liquidity into “tens of millions of citizens” before AI has driven down the cost of housing, food, and energy creates a classic mismatch between digital demand and a constrained physical supply chain. The authors argue that the dividend would quickly lose purchasing power, delivering “nominal wealth but material poverty.” Their remedy is to flip the script: instead of subsidizing consumption, the policy should subsidize local production—deregulating nuclear and solar energy, automating agriculture, and promoting “cosmolocalism” (design globally, manufacture locally) to drive the cost of survival toward zero at the edge.

A second concern the reviewers label “Digital Neocolonialism” focuses on geography. The draft’s blueprint centers the United States as the launchpad for the public wealth fund, effectively walling off AI‑generated dividends within American borders. Yet the underlying foundation models are trained on “the global cognitive exhaust of the entire human race” and rely on international supply chains and overseas data labelers. The critique warns that this creates a “digital neocolonial extraction engine,” where the Global South becomes a data strip‑mine feeding U.S. automation while receiving none of the upside. Their counterproposal calls for “sovereign AI infrastructure”: open‑source models and decentralized compute that enable developing nations to own their data and build local capital bases rather than remain dependent on U.S. API providers.

The third vulnerability, “Global Economic Apartheid,” expands the geographic argument into a geopolitical fracture. By restricting the “Abundance economy” to citizens of nations that host the data centers, the policy would leave countries without domestic AI infrastructure to shoulder 100 % of the downside—mass job displacement and industrial disruption—while receiving 0 % of the upside, such as universal basic income or hyper‑deflationary gains. The reviewers argue this would cement a new tiered global order, with AI wealth concentrated in a few data‑center‑rich states. Their solution mirrors the previous point: accelerate the export of open‑source models and decentralized physical infrastructure so that every nation can capture a share of AI’s value.

Beyond these three headline issues, the GitHub review lists five additional technical flaws, ranging from violations of Ashby’s Law of Requisite Variety—because centralizing compute, capital, and control reduces the system’s ability to adapt—to the creation of a “fragile, high‑latency caste system” that undermines the open‑economy vision the document claims to champion. The authors conclude that without addressing these vulnerabilities, the policy could “introduce catastrophic risks” that outweigh its democratic aspirations.

OpenAI has not yet responded to the GitHub critique, but the public nature of the draft means the debate will unfold in the open. As the Verge’s own coverage notes, the conversation is now less about whether a public wealth fund is needed and more about how it should be structured—if at all. The onus is on OpenAI to reconcile its lofty goal of a democratic AI transition with the concrete, systems‑level concerns raised by the very community it invited to weigh in.