The data suggests a broader shift is underway. Knowledge workers primarily use Codex to create reports, spreadsheets, presentations, contracts, and other work products. They are also increasingly using it for research, data analysis, workflow automation, and building lightweight tools that previously required engineering support.

The fastest-growing knowledge-worker tasks are data analysis, research, and knowledge artifact creation. At the same time, users are increasingly running multiple Codex tasks in parallel, allowing them to investigate data, draft materials, and automate workflows simultaneously. This kind of increased velocity could reshape AI’s long-term impact on work: Codex can help people take on more ambitious projects, leading to greater scope of their roles, and potentially accelerate career advancement.

Across industries, the pattern is similar: people are using Codex to reduce the friction of modern work. It helps them find information buried across systems, coordinate work across tools and teams, produce high-quality deliverables, and move projects through review and approval processes.

For a deeper look at how knowledge workers are using Codex, read the full report⁠(opens in a new window).