AI Now Institute argues AI is a fight over power, not just technology

AI Now Institute argues AI is a fight over power, not just technology

AI Now Institute’s executive summary, published June 3, 2025, argues that the central question about AI is who controls it and who bears its costs—not whether an individual tool is useful. The Institute says large technology firms’ control of data, computing infrastructure and routes to customers helps shape AI research and keeps new entrants dependent on those firms. It argues that this concentration can leave people subject to systems they cannot see, challenge or opt out of, while companies capture much of the value. The Institute also says the industry’s expensive business model and technical flaws sit uneasily alongside claims that AI is essential infrastructure. It calls for contesting the industry’s current direction and building public power, including through worker organising, regulation and public-centered innovation; it presents alternative futures as possible, not assured. The stakes it names include dignified work, shared prosperity, autonomy, security and democratic institutions. The summary does not establish how public oversight or worker power would change who controls AI or benefits from its use.

Publication: 9be1b81f-eefb-ddeb-c86b-a22385171177

attribution — pass: This is a single argued piece: the executive summary of the AI Now Institute's Artificial Power report. The reading consistently attributes the claims to the Institute and does not present them as established fact or as Escape Meridian's view.

This report’s title, Artificial Power, captures the critical, and at times contradictory, moment we find ourselves in.

summary — pass: The reading leads with the Institute's core thesis: ask about power, not whether an individual tool is useful. It explains concentration through data, compute and routes to customers in plain language. It conveys the call to contest the industry's direction and to build public power, and it keeps the claim that alternatives are not inevitable. The bubble argument is stated more mildly than the source's blunt wording, but the business-model critique is still present. The question follows from the evidence.

One thing is clear: we can’t fight tech oligarchy without rejecting the current industry trajectory around large scale AI.

date — pass: The reading's June 3, 2025 matches the UTC day of originalPublished. The page was modified on 2025-06-13, but the cited passages are core body text that is plainly part of the original summary. Cited sources run up to May 2025, which is consistent with that date. Nothing later is presented as known, and no forecasts are presented as outcomes. The source is a publisher page, so no archive disclosure is needed.

Like AI, though, these are not inevitable either.

support — pass: Each claim matches its excerpt. The source states that new entrants depend on Big Tech's cloud infrastructure and that Big Tech controls the pathways to consumers. It also states that affected people cannot opt out or seek remedy. The reading's limitation, that the summary does not show how oversight would change control, is a fair gap note rather than an invented claim. The later edit does not appear to touch the cited core text.

Even where new entrants are able to enter the AI market, they are still dependent on the cloud and computing infrastructures of Big Tech firms in order to succeed

media — pass: No media candidates were supplied and none was selected. The reading has a null mediaId, which is consistent with that.