We're Running In The Wrong AI Race

InnovationWe're Running In The Wrong AI RaceByVictor Paraschiv,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 10, 2026, 07:00am EDTVictor Paraschiv is an AI scientist, founder and CTO of Broadn, and was an early pioneer in the training of the first LLMs on legal datasets gettyMost observers misunderstand the AI race between China and the U.S. The dominant narrative suggests the conflict is about open-source versus closed-source models or whether Model A outperforms Model B on a given benchmark. That's only the surface. The real competition is a structural clash between two fundamentally different economic models: scarcity versus abundance and expensive premium versus commodity, uncurated, open-source.The practical reality and narrative line is that the West treats AI as a premium, high-margin luxury, whereas China is rapidly commoditizing it as public infrastructure, fully embracing the paradigm shift. The West knows how to monetize scarcity, but right now, it's unprepared to compete with abundance and infinite availability.The Western Model: AI As A Gated Luxury​In the Western model, AI is treated as a premium product characterized by expensive access and controlled subscriptions. This isn't corporate greed—it's a structural necessity. Western tech giants are engaged in historically unprecedented capital expenditure to build frontier intelligence. Initiatives like OpenAI, SoftBank and Oracle's "Stargate" supercomputer, a $500 billion project, demand massive revenues to justify their existence, all while contending with extreme demand and proven shortage in AI chip availability.Yet this infrastructure push is increasingly colliding with physical and political reality. Slow grid development and fierce social backlash over rising household electricity bills have triggered widesp...