The hottest new AI company is Google? (www.cnn.com)

Google’s Gemini 3 launch and its in-house Tensor chips have rattled the AI landscape: the model, unveiled Nov. 18, topped benchmarks for text generation, image editing/processing and text-to-image tasks and drew over one million trials in its first 24 hours. High-profile reactions — from Nvidia acknowledging Google’s advances to OpenAI’s Sam Altman congratulating the team and Salesforce’s Marc Benioff praising the “insane” leap — plus reports that Meta is exploring purchases of Google’s ASICs and Anthropic’s growing use of Google tech, signal broad industry attention and potential customer shifts. Technically, the story underscores rising chip-market complexity. Google’s Tensor processors are ASICs tailored for specific AI workloads, while Nvidia and AMD still dominate with versatile GPUs that run a wider range of training and inference tasks and come bundled with critical data-center networking and software stacks. Nvidia’s scale remains large (reported ~62% year-over-year sales growth and big profit gains), so ASICs aren’t an immediate replacement; instead, growing ASIC adoption suggests an evolving balance where organizations mix specialized silicon and GPUs to optimize cost, performance and deployment. The outcome could reshape vendor dynamics, cloud economics, and how models are architected and scaled across hyperscalers and enterprises.