Oracle cuts days of work to minutes with ChatGPT and Codex

What is changing?

According to an Oracle case study published by OpenAI, the company has 130,000 active ChatGPT users and more than 95,000 active Codex users. Adoption spans talent acquisition, Oracle Applications Lab, and IT operations; the reported outcomes are based on Oracle’s own deployments.

The talent acquisition team built a tool that researches comparable roles, compensation ranges, and candidate pools in relevant locations from a job description. Oracle says preparation that previously took two to four days now takes 15 to 20 minutes, representing a 98% decrease in research time.

Oracle Applications Lab uses an ontology describing company objects and rules to turn natural-language questions into reliable SQL queries. Codex can call the necessary internal systems and return an analysis, report, or application. In production engineering, SRE teams use it to gather incident context and the right response playbook in minutes.

The company explicitly says this setup does not run fully autonomously. Employees remain responsible for architecture, security guardrails, and maintainable code, while Oracle executives say working prototypes can shorten decision cycles compared with detailed specifications.