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Jack Dorsey Slams AI Giants: “Safety” Is a Pretext for Monopoly

Jack Dorsey has accused major AI companies of using "safety" as a pretext to entrench monopoly power, calling for an open AI frontier. The critique resonates with crypto's decentralized compute and on-chain AI agent projects, which seek to break the cloud oligopoly and keep innovation permissionless.

Jack Dorsey Slams AI Giants: “Safety” Is a Pretext for Monopoly

Jack Dorsey, the co-founder of Twitter and Block, has launched a pointed critique at the world’s largest artificial intelligence companies, arguing that their repeated appeals to “safety” are a smokescreen for entrenching market power. In a message that has since circulated widely across tech and crypto circles, Dorsey urged the industry to “open the AI frontier and let AI belong to everyone,” framing the current concentration of AI capabilities as the real danger—not the technology itself.

The Safety Narrative as a Competitive Moat

Dorsey’s argument echoes a growing concern among open-source advocates and decentralized AI builders: that incumbents use safety and alignment rhetoric to justify closed models, restricted API access, and regulatory capture. By controlling the compute, the weights, and the deployment channels, a handful of firms can shape what AI is allowed to do—and who gets to build on top of it. For the crypto industry, this is a familiar pattern. The same debates over open protocols versus walled gardens that defined Web2 are now replaying in AI, but with far higher stakes.

Why Crypto Should Care

The intersection of AI and crypto is no longer theoretical. Decentralized compute networks are auctioning GPU cycles on-chain, allowing smaller players to train and run models without relying on hyperscaler clouds. Projects are tokenizing inference, building verifiable model marketplaces, and experimenting with on-chain AI agents that can transact autonomously. If AI remains gated behind a few corporate APIs, the promise of permissionless innovation—central to both crypto and open-source software—is undermined.

  • Compute decentralization: On-chain GPU markets challenge the cloud oligopoly.
  • Model transparency: Open weights and verifiable inference reduce trust assumptions.
  • Agent economies: Autonomous AI agents need neutral settlement layers, which blockchains provide.

The Regulatory Tightrope

Policymakers are increasingly inclined to treat AI safety as a national security issue, which could cement the dominance of large incumbents best positioned to comply with heavy rules. Dorsey’s warning is a reminder that regulation designed to mitigate risk can also function as a barrier to entry. The crypto sector, still smarting from its own regulatory battles, has a natural affinity for this critique—and a strategic interest in keeping AI open.

Forward Outlook

Expect the open-versus-closed AI debate to intensify as decentralized compute networks mature and tokenized AI services gain traction. The real test will be whether open alternatives can match the performance and reliability of centralized giants. If they can, Dorsey’s call may prove more than rhetoric—it could mark the moment the AI and crypto ecosystems formally converge around a shared principle: no single entity should own the frontier.

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