Tech antitrust: regulation through courts, not Congress

On 29 September, President Donald Trump told reporters he had signed a "morally binding" artificial intelligence document with technology leaders after a luncheon at the White House, CNBC reported. House Speaker Mike Johnson described the agreement as a statement of principles that are "voluntary on behalf of the industry," and said the White House would guide industry development. Trump added that he was "seeing tremendous self-policing" and that his administration was considering a 10-person committee to oversee the AI industry.

That is the newest development in the dossier. The competition cases that dominate headlines are not moving through Congress at the same speed. They are moving through courts, state attorneys general and regulators.

Take the antitrust thread that is closest to the AI luncheon. CNBC noted that "multiple bills have been put forward in both the House and Senate in recent weeks" on AI oversight. None of them is described as law. Dario Amodei, the Anthropic CEO who attended the event, said rules to address AI risks are "still under discussion." The White House event produced no enforcement mechanism, no statutory text, and no timeline beyond Trump's remark that he planned to name a new AI czar "in the next three to four days."

Where the antitrust pressure actually sits

The dossier does not contain a fresh court ruling on Google's ad tech business, but it does show the shape of the fight. A separate item in MIT Technology Review's daily newsletter on 29 September listed state-level action. Florida has asked a court to block OpenAI from developing new models, and the state also aims to ban ChatGPT from acting like a person, according to Politico and The Verge. Rep. Khanna has proposed banning self-improving AI, CNBC reported. Those are regulatory and legislative moves, not antitrust verdicts, and they are aimed at safety rather than market structure.

Consumer Reports published a study on 29 September that adds another layer. Privacy researchers at Northeastern University tested 21 vehicles and their companion mobile apps inside a Faraday tent. They found that almost a quarter of the vehicle apps sent out personally identifiable information, including names, vehicle identification numbers and precise geographic locations. The top recipients of driver data included Amazon, Google, Meta, Microsoft, Pinterest, Snap and Yahoo.

"It does not appear that a customer can buy a new car that does not track you," said Sarah Elizabeth Gillespie, a study co-author.

That finding is not an antitrust ruling. But it is the kind of evidence competition authorities use when they argue that data concentration across markets is a problem. General Motors, Honda, Nissan and Stellantis told Consumer Reports that some recipients of driver data were prohibited from independently using or selling it. The researchers found those restrictions were not necessarily effective. After they showed their findings to Honda, the company instructed one of its vendors, Amplitude, to delete all location data it had received and stopped sending it going forward.

The money question behind the legal question

Apollo chief economist Torsten Slok published a note on 29 September arguing that Wall Street's tech analysts and the analysts covering tech's customers cannot both be right. Tech analysts expect the sector's operating cash flow to more than double to roughly $2.4 trillion by 2028, an increase of over $1.2 trillion. Analysts covering the other S&P 500 sectors, which are tech's customers, expect those companies to add much less operating cash flow.

"Both cannot be right at the same time," Slok wrote. The note asks who exactly will be writing the checks to buy AI services. That question sits underneath the antitrust debate. If the demand forecasts are too optimistic, the case for breaking up or constraining large platforms weakens because the market is already disciplining them. If the forecasts are right, the concentration argument gets stronger.

Not everyone in the dossier sees the industry as a going concern. A 29 September essay on monroelab.com titled "The Tech Industry: An Autopsy" argues that the sector "is dead" and that what remains are "engine fragments, spouting flame from fuel remains, as they crash to earth." That is an opinion piece, not a reported finding, and it cites no new antitrust data.

The labor side has its own account. Bay Area Current published an interview on 29 September with JS Tan and Clarissa Redwine, the authors of Against Tech Oligarchy, who chronicle tech worker organizing from the 2018 Google Walkout to union drives at Kickstarter. The book quotes venture capitalist Marc Andreessen saying in a 2025 interview that "companies are basically being hijacked to engines of social change, social revolution. The employee base is going feral."

Two other 29 September items round out the picture. 404 Media reported that three Bay Area tech workers, working as DrivingBench, hooked GPT-6 Astra, Claude Fable 5.1, Grok 4.6 and GPT-5.6 Sol to a rented Toyota Corolla and ran a cone course in a public parking lot. Only GPT-6 Astra completed the course. The same report noted that the National Highway Traffic Safety Administration announced an investigation into Comma last week, after two crashes involving the off-the-shelf driving system the team used killed three people. MIT Technology Review also said its 2026 list of Climate Tech Companies to Watch will publish on 6 October.

For the antitrust file, the practical takeaway from the dossier is narrower. The newest Washington action is a voluntary agreement with no enforcement teeth, dated 29 September. The binding pressure is coming from courts, state officials and regulators, and from data studies that give those officials material to work with.