Introduction

In a pivotal strategic overhaul unveiled in early June 2026, OpenAI formally releases its integration plan to embed Codex into ChatGPT, restructuring core product architecture to catch up with Anthropic’s all-in-one product pattern. This merger upgrades ChatGPT from a pure chat portal into a unified enterprise agent platform and transforms Codex from developer-only coding tool into end-to-end business workflow assistant. Driven by fierce competition from Claude Code, OpenAI rolls out vertical plugins, Sites and Annotations functions to build a complete enterprise AI product matrix.

1. Surge of Codex: Rapid User and Revenue Growth

Codex’s outstanding business performance becomes the core driver of this integration. Official data shows its weekly active users exceed 5 million, a 400% rise since the start of the year. Non-developer users covering analysts, marketers and investors make up 20% of total users, with their growth rate three times higher than developer groups. Cisco is a typical enterprise client that has built all internal AI systems on Codex. From the financial side, enterprise business contributes 40% of OpenAI’s total revenue and is expected to hit 50% by year-end. Internal industry news indicates Codex’s enterprise revenue once rose 50% week-on-week, and overall usage increases 5% per day on average.

2. Core Adjustment: Product & Runtime Mode After Combination

After being merged into ChatGPT, Codex switches its core operating logic from local execution to persistent cloud running. Agents can complete tasks autonomously on cloud servers and feed final results back to ChatGPT without users staying online all the time. In the long-term roadmap, OpenAI plans to combine ChatGPT, Codex and Atlas browser into one desktop client; the system will automatically assign tasks to corresponding agents rather than requiring manual switching between different products.

3. Six Major Vertical Plugins Connect Mainstream Enterprise Tools

OpenAI launches six job-oriented plugin packages covering 62 applications and 110 functional modules, targeting analytics, creative, sales, product, equity investment and investment banking scenarios respectively.

  • Data analysis plugin links Snowflake, Tableau and similar platforms for data query and dashboard generation;
  • Sales plugin docks Salesforce and HubSpot to manage customer information and formulate negotiation plans;
  • Investment-related plugins connect Moody, FactSet to process financial reports and market data. The company will keep expanding plugins for legal and private equity fields and open the plugin development ecology to third-party developers.

4. Sites & Annotations: Two Innovative Output & Editing Functions

Sites is available for Business and Enterprise users in preview, enabling Codex to turn analysis reports and project plans into shareable interactive mini-websites instead of static PPTs. OpenAI cooperates with Vercel, Wix to enrich its ecological partners. The newly expanded Annotations function supports partial revision on documents, spreadsheets and web pages. Users mark target content and put forward modification demands, and the model only adjusts selected parts without regenerating full files, greatly optimizing iterative modification efficiency.

5. Long-Duration Agent Capability & Background of Strategic Adjustment

Built on GPT-5.5 and dedicated GPT-5.5 Cyber security model, Codex supports ultra-long-cycle tasks, such as full project code migration from Java8 to Java26 and batch bug fix as Hudson Bank’s 24 pending defects case shows. The whole adjustment originates from competitive pressure: since late 2024, Claude Code has taken the lead in coding benchmarks. After abandoning low-efficiency browser-based Operator agent, OpenAI regrouped relevant teams at the start of 2026 and combined ChatGPT, Codex and API departments for unified R&D management.

Conclusion

OpenAI sets clear role division: ChatGPT works as user access entrance, Codex undertakes underlying task execution, plugins link external enterprise systems, Sites materialize output content and Annotations optimize post-editing experience. For enterprises running multi-model business, a professional API gateway like treerouter helps realize resource scheduling across different large models. This product combination is Open’s core countermeasure against Anthropic in the fiercely competitive enterprise AI track.