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  schema:name "THE GODFATHER OF AI SAYS THIS COULD GET UGLY"@en ;
  schema:headline "THE GODFATHER OF AI SAYS THIS COULD GET UGLY"@en ;
  schema:alternativeHeadline "Who gets the value when AI makes us more productive?"@en ;
  schema:datePublished "2026-04-29" ;
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  schema:url <https://www.linkedin.com/posts/ai-geoffreyhinton-artificialintelligence-ugcPost-7455292735340572672-HYIK/> ;
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  schema:author <https://www.linkedin.com/company/the-ai-journal/posts#this> ;
  schema:abstract "A LinkedIn post by The AI Journal relays Geoffrey Hinton's warning that AI-driven productivity gains could worsen inequality unless the economic value is distributed more broadly than to owners, shareholders, and dominant firms."@en ;
  schema:articleBody "AI may increase productivity. But who actually benefits from that productivity is the real question.\n\nGeoffrey Hinton, often called the “Godfather of AI,” is warning that AI could make inequality much worse if society does not change how the gains are distributed.\n\nThat is the uncomfortable part of the AI boom.\n\nEveryone talks about productivity.\n\nFaster work.\nSmarter tools.\nLower costs.\nMore automation.\n\nBut productivity gains do not automatically help everyone.\n\nIf companies use AI to reduce labor costs while most of the financial upside flows to owners, shareholders, and already powerful firms, then AI could widen the gap between those who control technology and those whose jobs are reshaped by it.\n\nThat does not mean AI is bad.\n\nIt means the economic model around AI matters.\n\nThe question is not just:\n\n“Can AI make us more productive?”\n\nThe better question is:\n\n“Who gets the value when AI makes us more productive?”\n\nBecause if AI becomes a wealth engine for the top while workers absorb the disruption, the biggest challenge will not be technological.\n\nIt will be social."@en ;
  schema:text "AI may increase productivity, but the post argues that the real issue is who captures that value. Quoting Geoffrey Hinton's warning, it says AI could intensify inequality if firms use automation to reduce labor costs while most upside flows upward to owners and already powerful companies. The core claim is that AI's biggest risk may be social rather than technological when productivity gains are not tied to a fairer economic model."@en ;
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  schema:text "The source post is by The AI Journal, which cites Geoffrey Hinton's warning rather than presenting itself as a post authored by Hinton directly."@en ;
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  schema:quotation "the distribution question is already playing out at the firm level"@en ;
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  schema:quotation "AI doesn’t determine who benefits from productivity gains — decisions do."@en ;
  schema:text "Harold Leduc reframes the issue around decision-making structure, arguing that inequality comes from how organizations make and justify decisions about AI-driven value creation and distribution."@en ;
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  schema:quotation "whether the institutions distributing those gains are coherent enough"@en ;
  schema:text "James Beck shifts the focus from who captures gains to whether the institutions doing the distributing are coherent and responsible enough to handle amplified intelligence."@en ;
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  schema:quotation "Where is that value actually decided?"@en ;
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  schema:quotation "Frontier LLM providers, as part of a new AI-era platform, crawl this contributed data as training input"@en ;
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