Summary of Key Points
OpenAI has recently made a significant move: it has integrated its programming tool Codex, which was originally designed for programmers, into the main interface of ChatGPT, and also launched six plugins tailored for different industries (such as data analysis, stock investing, investment banking, etc.). This move is primarily aimed at addressing the competition from Anthropic (which has a higher valuation than OpenAI and holds a dominant position in the programming field). It also seeks to overcome its own challenges with slow commercialization. Previously, OpenAI relied on consumer subscriptions and occasional API calls for revenue, which was a slow method of generating profits. Now, by introducing “productive digital assistants,” OpenAI aims to enter the corporate market and demonstrate its profitability to investors. This change reflects a new trend in the AI programming landscape: the focus has shifted from competing on who writes the best code to seeing who’s intelligent enough to actually complete tasks.
1. ChatGPT’s Transformation from “Chatbot” to “Digital Assistant”: What Can Codex Do Now?
Previously, Codex was a standalone tool used mainly by programmers. With its integration into ChatGPT, nearly one billion regular users can now utilize it directly for tasks. For example, if you are a salesperson, you can simply ask, “Organize the customer data from the past three months and identify the top 10 customers with the highest repurchase rates in a spreadsheet.” If you are a designer, you can request, “Generate the HTML code for a product landing page with a minimalist style.” Even if you are an investor, you can ask it to “analyze Tesla’s latest financial reports and summarize key indicators and risks.” The underlying Codex technology will automatically plan the steps, write the code, and execute the tasks without your need for any programming knowledge.
OpenAI has also developed six industry-specific plugins covering data analysis, creative content creation, sales, product design, stock investing, and investment banking to better meet the needs of various roles. The standalone Codex tool remains available, but its core capabilities will be seamlessly integrated into ChatGPT, allowing users to handle everything from a single interface. In OpenAI’s own words: “You don’t have to work 24/7, but your cloud-based intelligent assistant can.”
2. Why the Urgent Integration? The Pressure from Anthropic
OpenAI is under significant pressure from Anthropic, which secretly submitted its IPO application this week and was valued at $965 billion—surpassing OpenAI’s own valuation. Anthropics strength lies in its dominance in AI programming; the proportion of code development tasks using its models has increased from 42% in 2025 to 54%. Since its February funding round, Anthropic has seen rapid growth in corporate customers, with annual revenue soaring from $14 billion at the beginning of the year to $47 billion, outpacing OpenAI significantly in terms of commercialization.
In contrast, OpenAI’s early brand and user base advantages have not translated into substantial profits. Its consumer subscriptions (such as ChatGPT Plus) attract many users, but the revenue per user is low, and the frequency of API calls (used by companies to develop their own products) is not high, resulting in a long payback period. With Anthropic’s imminent IPO, OpenAI is compelled to develop a scalable business model that proves its technology is more than just an impressive showcase.
3. The Hidden Motivation Behind the Integration: Overcoming Internal Challenges
OpenAI’s product lineup was previously somewhat fragmented—ChatGPT was for chatting, Codex for programming, and there were other tools. This integration consolidates all these functions under one platform, eliminating overlapping user pathways and resource wastage. More importantly, it targets the corporate market, where businesses are willing to pay for tools that can solve real problems. For instance, an investment banking team can use ChatGPT and Codex plugins to quickly analyze financial reports from dozens of companies, significantly improving efficiency compared to manual processes. OpenAI aims to convert its consumer user base into revenue for business customers, demonstrating tangible growth to investors.
4. The Changing Landscape of AI Programming
The entire industry has realized that the focus in AI programming is no longer on who writes the most elegant code but on whose intelligent systems can actually complete tasks effectively. Companies now require AI that can help them with their work, not just tools that can write code. For example, an operations manager doesn’t need to know how to write Python; they simply need AI to generate weekly reports and analyze user data. The company that first develops intelligent systems capable of performing these tasks will gain a competitive advantage in attracting corporate clients.
In Conclusion
OpenAI’s integration of Codex is both a defensive response to Anthropic and an attempt to break through its own commercialization challenges. It also aligns with the broader trend in AI programming, which is moving from being mere tools to becoming powerful assistants. The future of AI will not be about chatting but about using it to get work done efficiently.