The antitrust trial between Google and the U.S. Justice Department has reached a critical phase, focusing on Google’s search engine dominance and its implications for AI development. The case highlights how Google’s control over search technology and data has given it a significant advantage in developing AI systems. Key evidence presented shows that Google’s massive data collection from its search engine has helped train its AI models, potentially creating barriers for competitors. The trial revealed that Google’s agreements with phone makers and browsers to be the default search engine have not only maintained its search monopoly but also provided it with valuable user data crucial for AI development. Expert testimonies emphasized how this data advantage creates a ‘feedback loop’ where better AI leads to better search results, which in turn generates more data for AI training. The Justice Department argues this creates an unfair advantage in the emerging AI market. Google’s defense centers on the quality of its service and innovation investments, including in AI. The case’s outcome could have significant implications for how antitrust law applies to AI development and data monopolies. The trial also raises questions about the intersection of traditional antitrust concerns and the modern AI industry, potentially setting precedents for future regulation of AI companies and their data practices.