
"Google has launched Gemini 3 and integrated the new AI model into its search engine immediately, aiming to push advanced AI features into consumer and enterprise products faster as competition in the AI market intensifies. The release brings new agentic capabilities for coding, workflow automation, and search, raising questions about how quickly businesses can adopt these tools and what impact they may have on existing IT operations."
"Gemini 3 comes in a Deep Think mode as well, which "outperforms Gemini 3 Pro's already impressive performance on Humanity's Last Exam (41.0% without the use of tools) and GPQA Diamond (93.8%). It also achieves an unprecedented 45.1% on ARC-AGI-2 (with code execution, ARC Prize Verified), demonstrating its ability to solve novel challenges." The update introduces a generative UI that can build custom visual layouts in response to prompts, allowing Gemini to present answers in interactive, application-like formats."
"For enterprise IT leaders, the key question is how quickly Gemini 3's capabilities will be integrated into real-world workplace applications and whether agentic features like Deep Think and Antigravity can deliver measurable productivity gains without introducing new operational risks. According to Sanchit Vir Gogia, chief analyst at Greyhound Research, Google's decision to embed Gemini 3 directly into Search from day one is one of the most consequential shifts in the enterprise AI market"
Gemini 3 is integrated into Search and embedded across Google's core products, delivering agentic capabilities for coding, workflow automation, and search. The model introduces a Deep Think mode with improved benchmark performance, a generative UI that builds custom interactive visual layouts from prompts, and enhanced long-context reasoning and multimodal support for larger documents and complex media. New agent tools include Gemini Agent and the Antigravity development platform to automate multi-step tasks and support software teams. Enterprise IT leaders must assess integration speed, potential productivity gains, and operational risks associated with agentic automation in workplace applications.
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