Expired60% confidenceFactExact time
OpenAI stated that over the past six months, the share of research compute used for internal coding reasoning has grown 100-fold, and internal agent token usage has grown approximately 22-fold.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/18/2026(expired)
Sources
Related Claims
UnverifiedOpenAI's Responses API call volume grew 100x over the past year.71% similarUnverified@KUMAN_R cites GitHub year-over-year data: commits grew more than 5-fold to 7.38 billion, pushes grew 4.9-fold to 3.35 billion, and Actions runs grew more than 4-fold to 3.26 billion, and these increases are attributed to AI agents.68% similarUnverifiedAccording to annual statistics from Stack Overflow and GitHub, Python has ranked first in usage rate in the AI/ML field for multiple consecutive years.67% similarUnverifiedUsing OpenAI's current inference compute as an estimate, the central value of the equivalent researcher workload it could support is approximately 20 million, with a range of roughly 2 million to 200 million.67% similarUnverifiedStack Overflow's 2026 developer survey released on October 6 covered 30,903 valid responses from 169 countries. Among respondents using the listed AI coding agents, Claude Code led with 65.5%, GitHub Copilot 58.7%, OpenAI Codex 29.5%, and Cursor 25.5%. For editors, VS Code was 70.9% and Cursor 14.9%.65% similar
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