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Out-analyzing analysts: OpenAI’s Deep Research pairs reasoning LLMs with agentic RAG to automate work — and replace jobs
OpenAI’s Deep Research pairs advanced reasoning LLMs with agentic RAG, delivering automated reports that rival human analysts — at a fraction of the cost. This breakthrough AI tool could redefine knowledge work across industries, from finance to healthcare, while raising critical questions about job displacement. Read on to explore how OpenAI is reshaping enterprise AI workflows and setting new benchmarks for research automation
Deep Research is on the bleeding edge of a growing trend: integrating large language models (LLMs) with search engines and other tools to greatly expand their capabilities. So this isn’t going to threaten the jobs of high-end hedge-fund researchers, for example, who are paid to go talk with real experts in an industry to find out otherwise very hard-to-obtain information, as Ben Thompson argued in a recent post(see graphic below). By integrating cutting-edge reasoning with autonomous research capabilities, OpenAI has created a tool that is smarter, faster and significantly more cost-effective than human analysts.
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