Observed Signal · May 6, 2026 · Research Report · Source: OpenAI Blog · Impact: 4/5 · Sentiment: Positive
OpenAI Launches B2B Signals on Enterprise AI
OpenAI published B2B Signals on May 6, 2026, a recurring research offering that measures how AI is diffusing across enterprises using privacy-preserving, aggregated usage of OpenAI products. The report finds that frontier firms (95th percentile) now use 3.5x as much intelligence per worker as typical firms (up from 2x in April 2025), with message volume explaining only 36% of the gap—most of the advantage comes from deeper, more complex usage. Agentic workflows and advanced tools drive much of the frontier lead: frontier firms send 16x as many Codex messages per worker as typical firms. OpenAI highlights practical examples (Cisco, Travelers Insurance) and recommends measuring depth, building governance, investing in enablement, scaling successful teams, and moving from chat to delegated agentic work.
OpenAI (a major platform) published a recurring enterprise AI research product that reveals measurable patterns (depth, agentic workflows) shaping how businesses embed AI—this influences enterprise product strategy, governance, and vendor demand across the MarTech/AdTech ecosystem.
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Key Takeaways & Evidence Grounding
- OpenAI introduced B2B Signals on May 6, 2026.
- Frontier firms (95th percentile) use 3.5x as much intelligence per worker as typical firms, up from 2x in April 2025.
- Message volume explains only 36% of the frontier advantage; the remainder is due to deeper, more complex AI usage.
- Frontier firms send 16x as many Codex messages per worker as typical firms.
- Cisco reported Codex reduced build times by ~20%, saved 1,500+ engineering hours per month, and increased defect-resolution throughput by 10–15x; Travelers expects its AI Claim Assistant to handle ~100,000 first-notice-of-loss calls in its first year.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
OpenAI: AI-native firms turn workflows into operating capability
OpenAI's latest Enterprise Signals data shows enterprise AI shifting from assistance to execution, with top 10% 'frontier' AI-using firms now generating 8.3x more output tokens per active user than typical firms, up from 2.6x in January. The article profiles three startups applying AI agents to real workflows: Basis (AI agents for accounting firms) cut first-day onboarding from two hours to 30 minutes using OpenAI's Codex; Clay (a revenue engine for go-to-market teams) uses persistent workspaces and subagents to save about an hour of daily inbox triage; and Exa Labs (web search infrastructure for AI agents) automated its developer integration workflow with Codex. OpenAI outlines six steps for scaling these agentic workflows, including defining measurable outcomes, writing agent job descriptions, and building human oversight. The core message: leading firms are connecting agents to company context and tools to automate substantive work end-to-end.
OpenAI outlines enterprise AI strategy with Frontier
OpenAI published a first-90-days reflection and enterprise strategy update describing a shift from experimentation to large-scale deployment of agentic AI in companies. The post reports enterprise revenue now exceeds 40% of OpenAI’s revenue and is on track to reach parity with consumer revenue by end of 2026; product metrics cited include Codex at 3 million weekly active users, APIs processing over 15 billion tokens per minute, GPT‑5.4 driving record engagement, and ChatGPT with 900 million weekly users. OpenAI positions OpenAI Frontier and a unified "AI superapp" as the core infrastructure for company-wide agents, highlights a Stateful Runtime Environment being built with AWS, and lists partners (McKinsey & Company, BCG, Accenture, Capgemini, AWS, Databricks, Snowflake) and enterprise customers (e.g., Goldman Sachs, Phillips, State Farm, Oracle, Uber).
Enterprises Shift from AI Assistance to Execution
OpenAI published two complementary studies showing enterprise AI is moving from assistance to agentic execution. Frontier firms (top 10% by monthly usage) now generate 8.3× as many output tokens per active user as typical firms, and Codex produced 64% of combined Codex and ChatGPT output tokens as of June. Frontier firms adopt advanced capabilities more—weekly Plugin use is 21% at frontier firms versus 9% at typical firms—and Codex usage has grown rapidly across non-engineering functions (legal, sales, recruiting, marketing). Early-career employees use AI more intensely than senior staff. The reports recommend connecting agents to company context/tools, establishing governance, and scaling individual workflows into shared practices.
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