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Models & tools · 8 Oct 2026 · 18:00 CEST

Jax’s Pick

Oracle makes research a repeatable preparation task

OpenAI · 8 Oct 2026 · 18:00 CESTRead original at OpenAI ↗
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How Oracle turns days of work into minutes with ChatGPT and Codex

What happened

OpenAI published an Oracle customer case. Its recruiting team built a tool that takes a job description, researches comparable roles, benchmarks compensation and examines talent pools by location. Oracle reports that preparation previously taking two to four days now takes around 15 to 20 minutes with the tool.

Why it matters

The transferable idea is a consistent brief with clear inputs and a person responsible for checking it. The reported timing is a customer claim published by its supplier, without an independent controlled evaluation. It does not establish savings for another team, and this research workflow should not be confused with automatically selecting candidates.

What to do next

Choose one recurring market or account-research brief. Specify approved sources, the questions to answer and how to flag uncertainty. Compare a small set of AI-assisted briefs with your usual process, including checking time and corrections. Keep the reviewer’s decision separate from the generated research.

ADDITIONAL STORY CONTEXT

Further context

Across recruiting, engineering, and operations, Oracle turns specialist knowledge into fast, repeatable workflows with ChatGPT Work and Codex.

Over a hundred thousand employees across Oracle are using ChatGPT Work and Codex, from talent acquisition to Oracle Applications Lab to the IT organization. In each case, work that used to rely on specialists and take days can now be done by anyone and is complete in minutes. Recruiters skip days of market research, business users describe an outcome instead of hunting for a report, and technical leads build tools that used to take a full team months.

The talent acquisition team used ChatGPT Work to build a talent market intelligence tool that takes a job description, researches comparable roles, benchmarks compensation, and assesses the talent pool across relevant locations. The tool arms the recruiter with valuable information that they need going into a conversation with the hiring manager, information that previously took 2–4 days to compile.

“We’ve gone from zero to a hundred,” says Jan Ackerman, Senior Vice President and Global Head of Talent Acquisition at Oracle. “Now we’re able to sit down and prep for about 15 to 20 minutes using the tool that we’ve built using [ChatGPT] Work.”

Not only is the process faster, but it’s

Source

OpenAI · 8 Oct 2026 · 18:00 CEST

Open the original at OpenAI ↗