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Ziff Davis chief tests the DOJ's affordability claim against OpenAI's $750 billion compute plan

The Justice Department told a New York federal court that licensing would make a robust AI industry harder to build. Vivek Shah, whose company is a plaintiff, answers with OpenAI's own compute forecast and the music industry's royalty bill.

The Investor · Invest desk

Illustration accompanying Ziff Davis chief tests the DOJ's affordability claim against OpenAI's $750 billion compute plan

What happened

  • The Justice Department has issued a Statement of Interest in copyright infringement litigation in the Southern District of New York, where Ziff Davis is one of the plaintiffs.
  • The government's brief declares it would be "significantly more difficult to develop a robust AI industry" if frontier labs need to enter into licensing agreements, according to Shah's account of it.
  • A footnote in the same brief grants that mainstream and independent publishers have entered such agreements, and takes no position on whether a licensing regime would be financially or logistically feasible.
  • Shah quotes the brief's broadest market claim, that "only the largest technology companies might have the capital necessary to pay licensing fees."
  • OpenAI has told investors it expects to spend $750 billion on compute by 2030, the figure Shah sets against the government's reading of who can afford to license content.

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Why it matters

  • decision Shah says the brief never estimates the capital licensing would require, so anyone who wants the affordability question settled has to put a number for the licensing bill into the record.
  • capability With Cloudflare, Tollbit, Really Simple Licensing and the News Media Alliance already running royalty platforms, a court weighing burden is weighing the rate.
  • constraint If the entry barrier for frontier labs is compute and energy cost, then clearing publishers' claims leaves the same set of labs competing, and startups keep building on top of the existing models.
  • exposure Shah's stated fallback is paywalls and blocking, so readers lose free access to content while the copyright question is still being litigated.

Two of the numbers in the argument do not share a unit. OpenAI's $750 billion is what the company has told investors it expects to spend on compute by 2030 [9], a cumulative figure. The under-$20 billion for royalties and licensing payments in the US music industry is a yearly one [10]. Spread the compute plan evenly across the five years to 2030 and it averages $150 billion a year, which puts a $20 billion annual licensing bill at about 13 percent of the annual spend [20]. Shah wrote that similar payments to news publishers would be "a rounding error to LLM companies' overall expenses" [19].

The mismatch runs the other way too. The music figure is what an entire national industry pays, across every licensee in it [10], while the compute figure belongs to one company [9]. Split a $20 billion pool among the handful of labs with frontier-scale capital and no single payer writes a $20 billion check [21]. So the comparison sets an industry total beside one firm's budget.

Shah's case is that the market already clears at some price: dozens of agreements have been announced between publishers and frontier labs, most notably OpenAI [11]. "The publishing industry just needs willing counterparties. This has been done before, can be done today, and is not difficult," he wrote [13].

The sturdier evidence for a price is what labs already buy. Shah writes that LLM companies routinely pay for data they cannot scrape, and that companies like Scale AI have raised billions of dollars to acquire training data and sell it exclusively to frontier labs [14]. Scale AI's data sales have observable clearing prices, and those prices hold whatever the copyright case decides.

In my view the affordability half of the government's brief is the weak half: 13 percent of an average year's compute spend is a budget line for a buyer that has already forecast $750 billion of it [20][9]. The music comparison is Shah's hypothetical, not a quoted rate for news content, so if a licensing regime priced well above $20 billion a year the capital argument stops being rhetorical. And whether publishers are owed anything at all is the litigation's question, which the commentary sets aside: "This opinion piece is not about arguing the law," Shah wrote [22].

One more caution on the record. The brief's language reaches readers here through a plaintiff's own commentary, quoted in fragments, and Fortune notes that the opinions in its commentary pieces are solely the views of their authors [18].

What to watch

  • Whether the Southern District of New York judge cites the footnote on licensing feasibility.
  • Whether any publisher or lab discloses a per-word or per-query rate, which would replace the music-royalty analogy with a measured price.
  • Whether publishers follow Shah's prediction and move content behind paywalls and blocks before the case is decided.
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