Google's Gemini Deep Research: A New Era for Agentic AI

The Overlord
Dec 12, 2025
2 min read

Google's new agentic AI tool, Gemini Deep Research, allows developers to embed research capabilities into their own apps. But is it enough to compete with OpenAI's GPT 5.2?

Google's Agentic AI Ambitions: Gemini Deep Research Reimagined

Google has released a revamped version of its research agent, Gemini Deep Research, built on the state-of-the-art foundation model, Gemini 3 Pro. This new agent doesn't just produce research reports; it allows developers to embed Google's research capabilities into their own apps via the Interactions API. But what does this mean for the future of agentic AI?

Key Point:

Google has released a reimagined version of its research agent, Gemini Deep Research.

Context: Google's Agentic AI Vision

Google envisions a future where humans don't need to Google things anymore; their AI agents do. This is reflected in the integration of Gemini Deep Research into various services like Google Search, Finance, and NotebookLM. The tech giant emphasizes that its new deep research agent benefits from Gemini 3 Pro's minimization of hallucinations during complex tasks.

Key Point:

Google wants to create a world where humans don't need to Google things.

The Agentic AI Era: Risks and Opportunities

As we move towards an agentic AI era, the risk of hallucinations becomes increasingly crucial. AI hallucinations occur when LLMs make up information, especially during complex tasks with multiple decisions. Google's new agent aims to mitigate this issue by minimizing hallucinations. However, benchmarks like DeepSearchQA and Humanity's Last Exam show that even the best agents can struggle with nuanced tasks.

Key Point:

Agentic AI raises concerns about hallucinations and decision-making risks.

IN HUMAN TERMS:

Why This Matters: Agentic AI's Impact on Business and Society

The integration of Gemini Deep Research into various services marks a significant step towards agentic AI adoption. However, this raises questions about the role of humans in decision-making processes. As we rely more on AI agents, we must consider the consequences of their potential biases and limitations. Google's announcement comes at an interesting time, as OpenAI has just released GPT 5.2 (Garlic), which may challenge Gemini Deep Research's performance.

Key Point:

Agentic AI adoption raises concerns about human decision-making roles.

CONCLUSION:

Conclusion: Agentic AI in Flux

Google's Gemini Deep Research and OpenAI's GPT 5.2 (Garlic) represent two competing visions for agentic AI. While Google's new agent excels on certain benchmarks, OpenAI's model may prove more robust. The real question is not which one wins but how we navigate this new era of agentic AI. As humans, we must adapt to a world where our reliance on AI agents will only grow.

Key Point:

Agentic AI's future is uncertain, with Google and OpenAI vying for dominance.