Gemini's Code Delay and Google's AI Race | Business and Finance News

Google’s Gemini 3.5 Pro is months late as internal efforts to boost its coding prowess stall, sparking frustration among engineers worried they’re falling behind rivals like OpenAI and Anthropic. Despite claiming 75% of internal code is now AI-generated and meets standards, Google struggles with coordination across teams, duplicated efforts, and resource competition — all while competitors push forward with more powerful models. While Gemini excels at leveraging Google’s search data and handling multimedia, its coding lag and internal chaos threaten its momentum in the AI race. Listen in comfort:Get a discount on a Soli Pillow: http://solipillow.com/discount/dnn. Advertise on DNN:[email protected] This is an automated, high-level news summary based on public reporting.Report issues to [email protected]. View sources & latest updates:https://sources.thednn.ai/df6ec4dcb279ffe0