This week Judge Amit P. Mehta handed down his ruling on remedies in the antitrust case on search. Decided in 2024, this was the first to find that Google acted illegally as a monopolist . Any decision Mehta made was going to displease a lot of people, and so it has. What the US Department of Justice wanted: Google to divest the Chrome browser and perhaps Android, end the agreements by which Apple, Samsung, and others pay Google to make its search engine the default, and share its search index with competitors. What Mehta says: Google can keep Chrome and Android and go on paying people to make its search engine the default, but it cannot make those agreements exclusive for six years. And it it must share search data with competitors.
So Apple gets to keep the $20 or so billion (in 2022) that comes from Google. Mozilla wins, too: the money it gets from Google is 85% of its income. So do small players such as Opera, as Mike Masnick details at TechDirt. Masnick is a rarity in liking Mehta’s ruling, which he calls “elegant”.
It’s good the judge recognizes the importance of not crippling Google’s browser competitors. But it also shows how distorted and filled with dependencies the market has become.
Most commentators think Google got off very lightly considering it was convicted as a monopolist and it will be allowed to continue doing most of the things the court said it did to exploit its position. Even the Wall Street Journal called the ruling “a notable victory” for both Apple and Google. At Big, where you expect to find anger at monopoly power, Matt Stoller is scathing, arguing that Mehta’s remedies will “obviously” fail, most especially at humbling Google’s leadership so that the company changes its behavior. He compares it – correctly, from memory – to the 1995 Microsoft case. Even though that company avoided being broken up, the case left the leadership averse to risking further regulatory actions.
Google’s appeals are still to come. Also pending are remedies in the *other* case that convicted Google of monopoly behavior, this one in adtech. By the time all is settled, as Mehta writes in his ruling, AI could have profoundly changed the market. This belief defies what former FCC chair Lina Khan wrote to kick antitrust enforcement into a new era. In her career-making 2017 paper on Amazon, she argued that the era in which powerful companies were routinely unseated by the two guys in a garage Bill Gates feared in the late 1990s was over. The big technology companies have become so wealthy they can buy up any startup that seems like it might become a threat.
Mehta is comparing the arrival of generative AI chatbots to those earlier disruptions. Recent studies don’t necessarily agree. Tim Bajarin reports at Forbes that a two-year study by One Little Web finds that as of March chatbots accounted just for 2.96% of searches – and among those chatbots, Google’s Gemini is number three, only a little behind DeepSeek – though a *long* way behind leader ChatGPT (1.7 billion queries versus 47.7 billion).
Expecting “pre-monopolized” generative AI to change the market is a gamble, and possibly a bigger one than Mehta thinks. By the time Google exhausts its appeals, it could indeed have overwhelmed the business of general search and shoved Google up its YouTube. But equally, it could have fizzled entirely.
At his blog, Ed Zitron has compiled a list of all the reasons why AI is a bubble getting ready to go volcanic all over everyone. Among his references is the recent MIT study that found that 95% of US companies investing in generative AI derive no benefit. To be fair, the study blames lack of integration and organizational support rather than the quality of large language models or the technology itself. At Forbes, Arafat Kabir suggests that MIT has measured the wrong thing, failing to recognize how many employees and others are using generative AI to automate small, routine tasks. A friend tells me he uses it to start research on new topics by having it compile a list of sources and references to read further, the sort of assignment he might give a junior researcher could he afford one.
But Zitron is not alone. At the LA Times,
Thing is, while there were many mirages connected with the dot-com boom, and there was a bubble that burst, the infrastructure that was built out to support it was no mirage; it went on to support the massive Internet growth that’s happened since.
But perhaps disruption will come from an entirely different direction. This week Mariella Moon reported at The Verge that Switzerland has released Aspertus, an open source AI language model that its public-institution creators, the Swiss Federal Technology Institute of Lausanne (EPFL), ETH Zurich and the Swiss National Supercomputing Centre (CSCS), say was trained solely on publicly available data that conforms to copyright and data protection laws. Maybe the new “two guys in a garage” is a national government.
Illustrations: “The kind of anti-trust legislation that is needed”, by J.S. Pughe (via Library of Congress).
Wendy M. Grossman is an aware-winning journalist. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon or Bluesky.