Observed Signal · Jun 26, 2026 · Research Report · Source: AINews swyx · Impact: 4/5 · Sentiment: Neutral
OpenAI reports massive internal Codex usage increases
OpenAI Economic Research reported large increases in internal Codex output tokens between November 2025 and June 2026: median Codex output tokens rose 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal. The bulletin notes that through August 2025 the average OpenAI worker spent under 10% of their tokens on Codex, but Codex usage deepened across departments as agents and longer-running workflows were adopted. The report is presented alongside broader industry signals—new open coding models, agent infrastructure startups raising capital, and platform features (e.g., Google’s Gemini 3.5 Flash computer use)—that together indicate increasing operational adoption of agentic workflows and rising token/compute consumption. Publication date: 2026-06-26.
OpenAI is a major platform; a report showing large, rapid internal token consumption growth is a leading indicator of agent adoption, longer-running workflows, and increased compute/token demand—relevant for infrastructure, platform economics, and AI-driven product strategies.
Track OpenAI Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- OpenAI Economic Research reported median internal Codex output tokens increased between November 2025 and June 2026: Research 56×, Customer Support 32×, Engineering 27×, Legal 13×.
- Through August 2025, the average OpenAI worker spent less than 10% of their tokens on Codex, per the report.
- OpenAI stated agents are changing work across departments and that Codex is being used for longer-running, cross-functional tasks.
- The article (Latent Space AINews digest) was published on 2026-06-26 and aggregates related industry signals (models, infra, data releases).
Connected Companies & Entities
6 Entities mapped“OpenAI Economic Research is reporting that token usage for everything outside coding is exploding: ... Over the last six months, Codex usage...”
“Google made computer use a first-class built-in capability in Gemini 3.5 Flash across browser, desktop, and mobile....”
“Multiple posts converged on Z.ai’s GLM-5.2 as the day’s most important open-model story....”
“Multiple posts converged on Z.ai’s GLM-5.2 as the day’s most important open-model story....”
“Databricks pushed GLM-5.2 to 392 tok/s on Artificial Analysis, up from 201 tok/s on H200s before further gains on B300s, attributing results...”
“Clement Delangue announced $100M annual run-rate, while saying HF still keeps the platform free/open for 97% of users and manages hundreds o...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Agents Transform Knowledge Work
OpenAI reports that agentic AI — exemplified by its Codex agents — is shifting knowledge work from short, single chatbot interactions to delegated, long‑horizon tasks that can run for minutes or hours and orchestrate tool calls. Internal usage data through mid‑2026 show rapid adoption: by May 2026 a large majority of sampled individual users made Codex requests estimated to exceed 30 minutes (80.6%) or one hour (70.2%), and 25.6% made requests estimated to exceed eight hours. Codex became the primary AI tool across OpenAI departments (engineering first; Legal, Finance and Recruiting by ~April 2026), accounting for the majority of output tokens (over 85% per worker and 99.8% of weekly output tokens). Non‑developer adoption also surged since August 2025 (137x individual, 189x organizational, 12x internal). OpenAI frames these patterns as evidence that agentic tools enable longer, more complex and cross‑functional work, with implications for workflow design and labor skills.
OpenAI Codex & ChatGPT Work Hit 10M Users
OpenAI’s Codex and the newly launched ChatGPT Work have rapidly scaled: Codex MAU grew more than 10x since January 2026 and, less than two weeks after ChatGPT Work’s July 9 launch, OpenAI reported a combined 10 million users for Codex and ChatGPT Work. The company says Codex now powers ChatGPT Work, expanding use from developers into knowledge workers (who represent ~20% of Codex users and are reportedly growing over three times faster than developers). The launch bundles a shared agent harness, artifacts (Sites), plugins, memory (Chronicle), and multi‑agent/sub‑agent modes (including an “Ultra” mode), and coincided with a new model release (GPT‑5.6). The interview explores product design tradeoffs, internal adoption signals, and how agentic interfaces change productivity and workflows.
OpenAI scales Codex to enterprises with Codex Labs
OpenAI reports rapid growth in Codex usage—weekly developer users rose from over 3 million to more than 4 million within two weeks—and says enterprises are expanding Codex across software lifecycles and non-engineering workflows. To accelerate adoption, OpenAI launched Codex Labs, a hands-on program that embeds OpenAI experts in organizations to run workshops, identify high-value use cases, and help move pilots to production. OpenAI is also partnering with global systems integrators (GSIs) including Accenture, Capgemini, CGI, Cognizant, Infosys, PwC and Tata Consultancy Services to scale deployments. The post cites customer examples (Virgin Atlantic, Ramp, Notion, Cisco, Rakuten) using Codex for test coverage, code review, feature development, repository reasoning, and incident response, and includes a quote from Lan Guan, Accenture’s Chief AI Officer, on productivity gains.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.