Google unveils its deepest AI research agent yet, just hours before OpenAI dropped GPT-5.2


 Google​‍​‌‍​‍‌​‍​‌‍​‍‌ has significantly upgraded Gemini Deep Research with an overhaul that changes the operability of the system from being able to produce specialized research reports only to becoming a fully-fledged agent capable of long-form reasoning, complicated analysis, and enterprise-grade investigation. Google made the announcement on the same day OpenAI announced the release of GPT-5.2, and the timing of these two events has puzzled a lot of people in the AI field.

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The improved Gemini Deep Research source fetcher is powered by Gemini 3 Pro, which is Google’s most cutting edge and most “fact-based” model yet. According to Google, the system is intentionally designed to reduce hallucinations, which are a major source of error for agentic tasks that are of a very long nature, be it minutes, hours, or days. In such lengthy operations, one single incorrect decision can be the cause of a complete workflow derailment.

A major point of the launch is Google’s Interactions API, which gives developers the capability of integrating deep-research functions right into their own applications. Rather than report generation only, the wiring of the agent into enterprise tools is now possible, thereby providing the layers of reasoning that can be used for such tasks as due diligence, the analysis of drug safety, or any other process that needs to be informed by enormous amounts of data being synthesised in context.

Google intends to introduce Deep Research into their fundamental products such as Google Search, Google Finance, the Gemini app, and NotebookLM. It is one more step to the future when users will not conduct searches manually because their AI agents will do all the collecting, reading, and summarising on their behalf.

In order to verify its assertions, Google has created a new benchmark, DeepSearchQA, which is intended to measure how well agents can carry out multi-step information-seeking tasks. Besides that, it also put Gemini Deep Research to test on outside benchmarks like Humanity’s Last Exam and BrowserComp. According to the new benchmark and the Humanity’s one, the agent was the leader. BrowserComp was more detailed and showed that OpenAI’s ChatGPT 5 Pro was slightly better than Google.

However, these comparisons became obsolete almost immediately. On the very same day, OpenAI made public GPT-5.2 — with the codename Garlic — and claimed that the model has significant improvements in the standard tests and is directly superior to Google’s models in a wide set of reasoning and accuracy benchmarks.

The timing of both announcements was a signal to the world. The two companies are now performing major AI updates within hours of each other. This is a sign of an escalated competition in the race for the leadership in agentic AI which is going to be the next era of AI where models not only give answers but also perform ​‍​‌‍​‍‌​‍​‌‍​‍‌actions.

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