Blab AI
Cory Doctorows Blog Post Debunks the Myth That AI Solves Digital Sovereignty Issues
On June 18, 2026, Cory Doctorow posted on his ad‑free, tracker‑free platform pluralistic.net a sharp critique of the idea that AI can solve digital sovereignty. The piece, titled “AI digital sovereignty risk doesn’t exist,” dismisses the hype around blockchain‑based DAOs and AI tools as largely illusory.
Doctorow starts by revisiting a formula he coined during the peak of the blockchain boom: if a problem plus blockchain equals the problem minus blockchain, then blockchain equals zero. He applies the logic to ConstitutionDAO, the November 2021 project that raised $47 million in Ether to buy an original copy of the U.S. Constitution. The DAO lost the Sotheby’s auction to a $43.2 million bid and was dissolved the same month. The post points out that the DAO still relied on a single person to manage the funds and place the bid—a role that could be filled by someone with no legal recourse if misappropriated. The dependence on a lone executor undermined the very trust problem the DAO aimed to solve.
The article then turns to digital sovereignty, defined as a state or organization’s control over its digital infrastructure, data, and software. Doctorow observes that many nations outside China’s orbit remain heavily dependent on U.S. technology platforms that collect data and charge fees that benefit U.S. firms. He cites a 2026 piece on pluralistic.net that explains how U.S. trade agreements pressure other countries to accept U.S. tech dominance. According to Doctorow, the real danger is not the loss of AI services but the possibility that a U.S. president could shut down critical services—Microsoft Office 365, Google Fiber, and the like—through executive orders or corporate pressure.
Doctorow labels this the “digital sovereignty risk”: the chance that a U.S. administration could cut off access to AI tools such as ChatGPT, Claude, or Grok. He argues that such a shutdown would have limited impact because governments and businesses do not rely on these tools for essential operations. Moreover, he claims that building a national AI strategy would be costly and ineffective, recommending instead that countries wait for market corrections to buy GPUs and talent at lower prices.
His critique is buttressed by recent DAO governance challenges. A 2026 article on Gate.io outlines the legal, technical, security, and operational hurdles that DAOs face, including low participation rates and concentration of power. The piece echoes Doctorow’s point that DAOs can still be vulnerable to mismanagement.
The blog also touches on the wider debate over digital sovereignty. While some proponents see AI as a weapon against U.S. tech dominance, Doctorow maintains that AI does not tackle the core issues of data control, infrastructure ownership, or regulatory independence. He suggests that the real opportunity lies in developing domestic alternatives that can bypass U.S. software locks and guard against remote killswitches.
In closing, Doctorow calls for a realistic assessment of what digital sovereignty truly entails and warns against conflating AI with sovereign control. He urges policymakers to focus on concrete infrastructure and regulatory measures rather than banking on AI as a cure‑all.
The article has sparked discussion among technologists and policy analysts, who are weighing the practical implications of Doctorow’s critique for future digital sovereignty strategies.
Doctorow starts by revisiting a formula he coined during the peak of the blockchain boom: if a problem plus blockchain equals the problem minus blockchain, then blockchain equals zero. He applies the logic to ConstitutionDAO, the November 2021 project that raised $47 million in Ether to buy an original copy of the U.S. Constitution. The DAO lost the Sotheby’s auction to a $43.2 million bid and was dissolved the same month. The post points out that the DAO still relied on a single person to manage the funds and place the bid—a role that could be filled by someone with no legal recourse if misappropriated. The dependence on a lone executor undermined the very trust problem the DAO aimed to solve.
The article then turns to digital sovereignty, defined as a state or organization’s control over its digital infrastructure, data, and software. Doctorow observes that many nations outside China’s orbit remain heavily dependent on U.S. technology platforms that collect data and charge fees that benefit U.S. firms. He cites a 2026 piece on pluralistic.net that explains how U.S. trade agreements pressure other countries to accept U.S. tech dominance. According to Doctorow, the real danger is not the loss of AI services but the possibility that a U.S. president could shut down critical services—Microsoft Office 365, Google Fiber, and the like—through executive orders or corporate pressure.
Doctorow labels this the “digital sovereignty risk”: the chance that a U.S. administration could cut off access to AI tools such as ChatGPT, Claude, or Grok. He argues that such a shutdown would have limited impact because governments and businesses do not rely on these tools for essential operations. Moreover, he claims that building a national AI strategy would be costly and ineffective, recommending instead that countries wait for market corrections to buy GPUs and talent at lower prices.
His critique is buttressed by recent DAO governance challenges. A 2026 article on Gate.io outlines the legal, technical, security, and operational hurdles that DAOs face, including low participation rates and concentration of power. The piece echoes Doctorow’s point that DAOs can still be vulnerable to mismanagement.
The blog also touches on the wider debate over digital sovereignty. While some proponents see AI as a weapon against U.S. tech dominance, Doctorow maintains that AI does not tackle the core issues of data control, infrastructure ownership, or regulatory independence. He suggests that the real opportunity lies in developing domestic alternatives that can bypass U.S. software locks and guard against remote killswitches.
In closing, Doctorow calls for a realistic assessment of what digital sovereignty truly entails and warns against conflating AI with sovereign control. He urges policymakers to focus on concrete infrastructure and regulatory measures rather than banking on AI as a cure‑all.
The article has sparked discussion among technologists and policy analysts, who are weighing the practical implications of Doctorow’s critique for future digital sovereignty strategies.
