Google's Search Monopoly Bankrolled Its AI Dominance, Say Experts

Google's commanding position in artificial intelligence didn't emerge from innovation alone—it was built on the foundation of an illegal search monopoly, according to legal experts urging stronger antitrust enforcement.

Asad Ramzanali and Joel Thayer argue in an amicus brief to the U.S. Court of Appeals for the District of Columbia Circuit that Google leveraged cash, computing power, and data accumulated through its unlawful search dominance to establish leadership in AI markets. The brief challenges a lower court's decision to impose only modest remedies after finding Google liable for illegally maintaining its search monopoly.

From search profits to AI investment

Google's monopoly profits enabled aggressive AI investment starting in 2011, when it formed its first deep-learning team. By 2012, a team codenamed Google Brain was spending millions on computing resources. The company's engineering leadership pursued what author Cade Metz described as an effort to "corner the worldwide market for deep learning researchers," spending tens of millions to recruit top talent. In 2014, Google acquired AI research startup DeepMind for $650 million.

These investments yielded breakthrough results. Google researchers authored the 2017 paper "Attention Is All You Need," introducing the transformer architecture that still underpins modern AI systems including ChatGPT. The company integrated AI-based RankBrain into Google Search by 2015.

Distribution advantages competitors cannot match

When OpenAI's ChatGPT launched in November 2022 and quickly gained traction, Google responded by integrating its Gemini AI directly into its existing products. The company added AI Overviews atop search results, instantly reaching billions of users. As of May 2026, over 43 percent of Google searches returned an AI Overview, according to the brief.

Google announced in December 2025 that Gemini had reached one billion monthly active users—matching ChatGPT's milestone just five days after OpenAI announced it. This marked Google's 14th product to cross the billion-user threshold.

The company's vertical integration across the AI technology stack provides additional advantages. Google controls everything from chips (TPU processors) and cloud infrastructure to distribution channels including Chrome, Android, and the world's most-visited website. Neither OpenAI nor Anthropic possesses comparable resources across the stack.

Google also benefits when competitors succeed: it ranks among Anthropic's largest investors and compute suppliers, and OpenAI recently began using Google Cloud for AI computing needs.

Why it matters

The case illustrates how monopoly power in one market can be leveraged to dominate emerging markets, potentially foreclosing competition before it takes root. Judge Amit Mehta rejected structural remedies like divesting Chrome or Android partly because he believed new AI competition could discipline Google's search monopoly. The amicus brief argues this reasoning inverts antitrust logic—a monopolist entering a new market doesn't excuse its illegal conduct in the original market. Four months after the ruling, Google and Apple announced Gemini would power Siri, demonstrating how Google continues using the same distribution-buying tactics the court declined to block.

The D.C. Circuit will consider whether stronger remedies are warranted in the coming months. Ramzanali and Thayer contend that breaking up Google into smaller parts represents the appropriate response to its pattern of using monopoly power in one market to reinforce dominance in others.

These details were first reported by Asad Ramzanali and Joel Thayer writing for ProMarket.