The strategic trend indicates a significant shift in the AI landscape as major players like Google and DeepMind push for maximum scaling and specialized applications to achieve Artificial General Intelligence (AGI). This focus on scaling, coupled with government partnerships, signals a new era where computational power and tailored solutions become pivotal for leadership in AI, potentially disrupting smaller players and reshaping competitive dynamics in the industry.


The U.S. Department of War launched GenAI.mil, a department‑wide generative AI platform that will use Google Cloud’s Gemini for Government as its first enterprise AI system. The IL5‑authorized service will give roughly 3 million civilian and military personnel access to tools for summarizing policy handbooks, generating compliance checklists, drafting risk assessments and analyzing imagery and video, with the Pentagon emphasizing data sovereignty and that its data will not be used to train Google’s public models.

In new remarks highlighted by India Today, Google DeepMind CEO Demis Hassabis argued that current AI systems should be pushed to their computational limits, saying scaling will be at least a key component—and possibly the entirety—of future AGI systems. He acknowledged challenges around data and compute, while critics like Yann LeCun warn that simply adding more data and compute will not solve the hardest AI problems, underscoring a growing strategic divide over how to reach AGI.

Geoffrey Hinton, often called the 'godfather of AI', told Business Insider that Google is now beginning to overtake OpenAI, citing the launch of its Gemini 3 model and Nano Banana Pro image generator alongside Google's custom AI chips and deep research bench. The Daily Star highlights Hinton's view that Google's scale, data and hardware stack now give it the edge, suggesting a potential shift in perceived leadership of the frontier-model race away from OpenAI toward Google and Google DeepMind.