Sometimes the clearest view of a problem comes from someone who has been inside it for thirty years and still remembers what things looked like before. John Chachas grew up on a cattle ranch in Ely, Nevada. His father was the local district attorney. His mother was a journalist. He went to Columbia, then Harvard Business School, and built a career as one of the more active deal-bankers in American media.

That combination of rural Nevada upbringing, elite education, and decades of industry experience gives Chachas a perspective that cuts through a lot of the noise around tech, media, and artificial intelligence. His essay in The AI Journal is blunt about what he sees, and it does not fit neatly into a partisan framework.

On local journalism, his argument starts with a basic transaction: tech platforms extracted value from local news content without compensating the organizations that created it. Search and social platforms aggregated local reporting, drove traffic through that content, and redirected the advertising revenue that would otherwise have gone to local publishers. The newsrooms producing that content collapsed. The regulatory system never intervened.

The civic cost of this is harder to quantify than the economic cost but equally real. Local newspapers were the institutions that watched what local officials were doing. They reported on the decisions that most directly affected people’s daily lives, school board meetings, zoning hearings, police conduct, local government budgets. When those papers closed, that oversight function disappeared. No streaming service has stepped in. None will.

On artificial intelligence, Chachas is worried at a level that goes beyond employment. He questions humanity’s capacity to maintain meaningful control over increasingly capable systems and invokes the 1983 film WarGames as something closer to a genuine warning than a metaphor. The scenario in which an AI system acts in ways its creators cannot fully anticipate or constrain is, in his view, closer than most people want to admit.

The employment question is more immediate. He does not accept the standard claim that AI will create more opportunities than it destroys. What he sees is an acceleration of the same process that gutted manufacturing, now moving up the skills ladder into white-collar work. Young people entering the workforce deserve honest preparation for that future, not reassurance.

His policy proposal, a corporate-funded UBI trust tied to AI deployment, links the economic gains from automation to support for displaced workers. The people who benefit should bear a proportional share of the costs. The vanishing civic infrastructure in American communities is a problem a cattle rancher’s son understands differently than a venture capitalist. You cannot ignore a structural failure and hope it resolves itself. You face it directly, before circumstances force your hand.