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Google Unveils Enhanced Gemini Deep Research Agent Powered By Gemini 3 Pro

Redefining Research With Agentic AI

Google has unveiled a reimagined version of its Gemini Deep Research agent, now powered by the state-of-the-art Gemini 3 Pro. This advanced tool not only generates in-depth research reports but also empowers developers to embed its robust analytical capabilities into their own applications through the new Interactions API. This move marks a significant evolution in the agentic AI era, providing unprecedented control to developers and pushing the boundaries of autonomous decision-making in technology.

Enhanced Capabilities For Complex Tasks

The enhanced Gemini Deep Research agent is engineered to synthesize vast amounts of information and process extensive contextual data inputs. Google highlights its use in high-stakes domains such as due diligence and drug toxicity safety research. In these scenarios, the reliability of results is paramount, especially as the model minimizes the risk of AI hallucinations—erroneous outputs that can undermine long-running, multi-step tasks.

Seamless Service Integration

Looking ahead, Google plans to integrate this refined research agent into a suite of services including Google Search, Google Finance, the Gemini App, and NotebookLM. This strategic integration anticipates a future where AI agents act as the primary interface for information retrieval, transcending the traditional search paradigms dominated by human queries.

Benchmarking And Competitive Landscape

To substantiate its advancements, Google introduced the DeepSearchQA benchmark, designed to rigorously evaluate agents on complex, multi-step information retrieval tasks. It also faced rigorous testing on benchmarks such as Humanity’s Last Exam and BrowserComp. While Google’s agent led on several benchmarks, OpenAI’s ChatGPT 5 Pro emerged as a competitive contender in some areas. The arena shifted further with the simultaneous launch of OpenAI’s GPT 5.2 (codenamed Garlic), which OpenAI claims surpasses its rivals on a suite of established benchmarks.

Implications For The Future Of AI

Google’s latest development underscores a broader industry trend towards integrating advanced AI research tools directly into consumer and business services. By combining superior factual accuracy with expanded developer capabilities, the tech giant is setting the stage for a transformative shift in how information is accessed and utilized. Whether for critical business analysis or cutting-edge scientific research, technologies like Gemini 3 Pro hold the promise of redefining the landscape of institutional knowledge and decision-making.

Eurobank Plans €1 Billion Investment In AI And Digital Banking By 2028

Eurobank plans to invest about €1 billion in technology from 2025 through 2028, its largest technology investment program to date. The Banking Forward strategy focuses on digital banking, artificial intelligence, customer experience and a “phygital” model combining digital services with face-to-face support.

Digital Banking Dominates Customer Activity

Digital channels already account for 96% of Eurobank transactions, with 61% completed through the Eurobank Mobile App. Among customers aged 35 and under, digital adoption reaches 94%.

Customers make about 574 million annual logins across e/m-banking and more than 1 million digital transactions each day. During the first half of 2026, one in three banking products was acquired digitally.

AI Moves Into Everyday Banking

Eurobank is expanding the use of AI through tools including EVA, its digital customer assistant, and myEVA, an AI-powered voice assistant for employees. The technology is also being applied to mortgage assessments, customer feedback analysis and contractual documents.

The bank’s technology architecture is built around five areas: digital channels, customer experience orchestration, data and AI, core banking, and infrastructure and cloud. About 50% of its applications and digital channels are already cloud-based.

Investment Extends Beyond Technology

The program is intended to reshape how Eurobank operates, combining automation and AI with employee development and human support. The bank says the approach is designed to improve services while maintaining access to face-to-face banking when customers need it.

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