OpenAIs Deep Research Tool Claims to Match Human Analyst Capabilities in Minutes

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OpenAI has unveiled its latest advancement in artificial intelligence with the launch of a groundbreaking tool called ‘deep research’. The San Francisco-based technology giant asserts this innovative system can produce analysis equivalent to human research analysts’ work in merely 10 minutes.

The timing of this release is particularly strategic, coming mere days after OpenAI’s acknowledgement of mounting pressure from Chinese competitor DeepSeek. The new AI agent, powered by OpenAI’s sophisticated o3 model, demonstrates remarkable capabilities in processing and synthesising information from diverse sources, including text, images, and PDFs.

Market observers note the tool’s integration into ChatGPT via a dedicated button represents a significant stride towards artificial general intelligence. The system’s ability to analyse hundreds of online sources simultaneously and generate comprehensive reports marks a revolutionary development in AI-driven research capabilities.

Professional users in finance, science, and engineering sectors stand to benefit from this innovation, priced at £162 monthly through OpenAI’s Pro tier. The service currently maintains a strategic limitation of 100 queries per month, reflecting the substantial computational resources required for each analysis.

Industry experts, including Andrew Rogoyski from the University of Surrey’s Institute for People-Centred AI, raise important considerations regarding the tool’s implementation. The primary concern centres on the potential for users to accept AI-generated analyses without proper verification, highlighting the need for careful human oversight in the deployment of such powerful analytical tools.

The development signifies OpenAI’s commitment to maintaining its competitive edge in the rapidly evolving AI landscape, particularly as rivals like DeepSeek continue to advance their technological capabilities. The restricted availability of ‘deep research’ to US markets initially suggests a measured approach to scaling this transformative technology.

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