ChatGPT Might Be Disappearing Soon

marsbitPublished on 2026-06-03Last updated on 2026-06-03

Abstract

OpenAI announced at its "Intelligence at Work" event that its coding assistant, Codex, will be fully integrated into the ChatGPT app within weeks. This move marks a strategic shift from a conversational AI (Chat) towards a unified "agentic" platform capable of execution. Codex, originally launched to compete with Anthropic's Claude Code, has grown rapidly to 5 million weekly active users, with 20% being non-developers like analysts and designers. Its enterprise revenue now constitutes 40% of OpenAI's total. The integration is the first step in creating a super-app combining ChatGPT (interface), Codex (execution engine), and the Atlas browser (web access). OpenAI also unveiled new Codex features: specialized Agent plugins for six professional roles, an "Annotations" tool for direct document editing, and a "Sites" function to turn work into shareable web apps. Internally, this reflects a power shift; the Codex team now leads core product strategy. While the ChatGPT brand remains for its vast user base, the platform's future is focused on autonomous agents that perform tasks, not just chat. The article notes that competition with Claude Code pushed OpenAI's development, with Codex competing on cost-effectiveness and accessibility rather than raw coding quality. It concludes that the essence of "ChatGPT" is evolving from a chatbot into an AI agent platform, with the name potentially becoming a legacy symbol of its original function.

OpenAI's super app has finally 'taken shape'.

It's still called ChatGPT, but its core is about to gain a new member: Codex.

And ChatGPT is essentially just a shell now.

At the Intelligence at Work launch event just held by OpenAI, the company officially announced that Codex will be integrated into ChatGPT in the coming weeks.

Initially, this news was a bit confusing? Wasn't there always a Codex option in ChatGPT?

Only when I clicked on it today did I realize it was 'fake'—it prompts you to further download the Codex app, you can't use it directly within ChatGPT.

So, once the integration happens, chatting and working can be done within a single app, no need to switch between apps anymore.

But, did you think that's the end of the story?

At least from OpenAI's perspective, Codex might just be the beginning.

And through this launch event, we finally got a clear picture of the entire vision for the super app.

So Codex Was Just the First Step

The launch event lasted a full hour, packed with information, but it can be summarized into three key things.

1. ChatGPT will merge with Codex because times are changing.

2. Codex will continue to evolve, so three major updates were announced.

3. Codex is catching up to Claude Code, and GPT-5.5's 'efficiency' is a key factor.

Let's quickly go through them:

First, the somewhat surprising merger. Why is ChatGPT choosing to merge with Codex now?

One reason is that Codex, initially launched to catch up with Claude Code, can now speak for itself with results.

Codex weekly active users have surpassed 5 million, skyrocketing 6 times since the desktop version launched in February.

More crucially, 20% are not programmers at all, but knowledge workers like analysts, designers, and investment banking professionals, and this group is growing 3 times faster than developers.

This indicates Codex is achieving significant breakout momentum.

Regarding revenue, which OpenAI values highly (they followed Claude Code partly because they were envious of its revenue), OpenAI itself revealed that enterprise revenue currently accounts for 40% of OpenAI's total revenue, projected to reach 50% by year-end.

In short, Codex now has rapid user growth, broad user coverage, and is genuinely making money for OpenAI.

All signs seem to be telling OpenAI it's time to consider the next step.

And the direction of the next step, at least for now, seems very clear—from Chat to Agent, from conversation to execution.

Alexander Embiricos, OpenAI's Head of Product, said this during the launch:

You might not work 24/7, but your Agent in the cloud will.

A single line encapsulates the ultimate appeal of a super app. In the future, users truly won't need to switch between apps. You give an instruction, ChatGPT helps you understand it, and then Codex can call upon various Agents to execute for you.

So this integration is essentially OpenAI's first step toward a super app.

What's the next step? You might have guessed—Browser.

The browser is the final piece of this integration, providing the entry point for AI into the web world. It allows users to simply speak in ChatGPT, and Codex can automatically perform tasks like searching, operating backends, and handling work within the browser—everything that previously required manual clicks.

Thus, ChatGPT + Codex + Atlas browser, OpenAI finally has the potential to achieve execution across all scenarios through a single APP.

But for today, let's stick to talking about Codex.

To equip Codex with more 'soldiers' capable of doing work, OpenAI unveiled three more updates in one go:

Six Professional Role Agent Plugins, covering data analysis, sales, creative production, product design, equity investment, and investment banking, directly integrating 62 enterprise apps like Snowflake, Figma, and Salesforce, and embedding 110 automation skills.

Annotations feature, allowing direct annotation and modification on the original text of documents, eliminating the need to regenerate entire pieces. Developers are already using this capability to modify code, Markdown files, and websites generated by Codex.

Now, it extends to content creation scenarios like documents, spreadsheets, and presentations.

Sites feature, enabling Codex to turn your work results into interactive web applications with one click, generating URLs to share directly with teams.

This feature feels quite practical. Previously, when developing a project, non-technical people could only vaguely describe their needs. Now, anyone can generate a clear, intuitive, visualizable demo, significantly reducing team communication costs.

This feature is currently in preview for Business and Enterprise customers.

See, OpenAI is betting that in the future, more and more ordinary people will shift from conversation to execution.

Some might ask, why isn't Codex absorbing ChatGPT instead?

It can be said that, superficially, this appears to be ChatGPT absorbing Codex, but piecing together a few details, the direction might be the exact opposite.

In the May organizational restructuring, Thibault Sottiaux, who built Codex into what it is, was promoted to Head of Core Product and Platform, overseeing consumer, enterprise, and developer lines. Nick Turley, who grew ChatGPT to 900 million weekly actives, was moved to the enterprise product line.

So now, it's the Codex team managing ChatGPT, not the other way around.

Furthermore, the wording in Brockman's internal memo is worth pondering—

He didn't write 'upgrade ChatGPT,' but 'invest in a unified agentic platform.'

Therefore, this merger is less about product integration and more about a strategic shift: from conversation to execution, from chat to Agent.

ChatGPT provides the massive user base of 1 billion, Codex provides the growth engine and future narrative.

The shell belongs to ChatGPT, but the soul belongs to Codex.

However, in the end, Codex's existence was forced by competitor Anthropic.

Even the GPT-5.5 mentioned during the launch can almost be considered a product born from this pressure.

Codex Was Forced Out by Anthropic

Looking back, if it weren't for Anthropic, Codex might still just be an inconspicuous auxiliary feature in ChatGPT today.

Let's rewind to the release of Claude Code's preview version last year.

Claude Code was an immediate success upon its debut, its annualized revenue breaking $2.5 billion by February this year, reaching $1 billion in just 6 months from launch, making it one of the fastest-growing commercial software products in history.

About 4% of global GitHub public commits come from it, and users spend an average of 20 hours per week on it.

It was the explosion of Claude Code that made OpenAI realize internally: they were already falling behind in the coding domain.

How to catch up? Just chase.

The default narrative in the AI industry had always been Anthropic following in OpenAI's footsteps—GPT releases first, Claude follows; ChatGPT becomes popular first, Claude emulates.

But on the Code front, the script was completely rewritten.

Claude Code launched in February last year, and OpenAI only released the competing Codex two months later; Anthropic made a desktop version first, OpenAI chased after it; Anthropic launched Cowork for knowledge workers, OpenAI later caught up with Plugins.

This time, OpenAI was following in Anthropic's footsteps.

But the chase was indeed rapid. Looking at the timeline: 14 months, from zero to 5 million weekly actives.

Codex Cloud preview went online in April last year;

Launched desktop App and dedicated model GPT-5.3-Codex in February this year;

Announced super App merger and acquisition of Python tool company Astral in March;

Launched ChatGPT Pro at $100/month to attract developers in April;

Released mobile version in May;

Officially integrated into ChatGPT in June.

It could be said that almost every step here has the shadow of Claude Code.

But to be honest, Codex didn't stage a comeback by directly competing on code quality.

After all, blind test data shows Claude Code still has a 67% win rate, and most programmers admit its outputs are more robust.

However, Claude Code's usage limits are simply too strict, and it's more expensive than Codex.

A discussion thread on Reddit involving over 500 developers condensed into one consensus:

Claude Code is smarter, but the limits are too strict for daily use; Codex is a bit worse but actually usable.

A smarter model that often gets tasks stuck midway and is more expensive, versus a slightly less intelligent but more affordable model.

Which would you choose? (doge)

Interestingly, during the launch, OpenAI's Head of Product Alexander also said this golden line:

The one thing GPT-5.5 hates most is wasting tokens.

Using Codex with GPT-5.5 achieves the same quality output using only one-third of the tokens.

In short, on the path to catching up with Claude Code, Codex is making 'more intelligence with fewer tokens' its new guiding principle.

Undeniably, the AI programming field is now a duopoly.

One represents the strongest coding capability, the other the strongest productization capability.

But if we look further ahead, what Claude Code and Codex are competing for is no longer just the programming tools market.

As more and more ordinary people start using Agents as daily work partners, the entry point is actually the most important thing.

And this precisely presents a new opportunity for Chinese players—because in the Agent era, victory may not solely depend on model capability, but also on scenario, ecosystem, application connectivity, and understanding of local enterprise workflows.

In fact, major Chinese tech companies have already entered the field.

Among them, some are targeting developer entry points, some enterprise internal office entry points, and others full-process intelligent Agent platforms.

But regardless of the path, the goal is largely consistent—seize the core entry point of the Agent era.

Everyone understands clearly that how to leverage the time window of local scenarios to establish real competitive barriers at the Agent infrastructure level is the true urgent task.

So, next, let's see who will be the first to break through, running out China's versions of Claude Code and Codex?

And more crucially, who will become the new super entry point in China for the Agent era?

One More Thing

Returning to this merger event.

Considering Codex's current development momentum and the industry environment, I'm inclined to make a bold statement:

Rather than continuing to call the merged application ChatGPT, it would be better to directly call it Codex.

Think about it: ChatGPT sounds like an old relic from the 'Chat' era, but OpenAI's current bet is precisely no longer on Chat.

The people managing the product are from Codex, the internal memo mentions an agentic platform, the fastest-growing scenarios are execution-oriented, and none of the new features are related to chatting.

Is 'ChatGPT' usable? Yes. But is it accurate? No.

Of course, OpenAI likely won't rename it. After all, the three letters 'ChatGPT' have become synonymous with AI, brand assets of immeasurable value.

But not changing the name doesn't mean the essence hasn't changed.

Perhaps soon, when you open ChatGPT, what greets you won't be a dialog box waiting for your question, but an Agent that has already finished the work for you.

By then, whether it's 'Chat' or not will no longer be important.

In other words, ChatGPT might just be a spiritual symbol in the future...

References:

[1]https://www.techmeme.com/260602/p14#a260602p14

[2]https://openai.com/index/codex-for-every-role-tool-workflow/

[3]https://www.theinformation.com/articles/inside-openais-decision-combine-codex-chatgpt

This article is from the WeChat public account 'QbitAI', author: Focus on Frontier Technology

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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

700 Total ViewsPublished 2025.01.14Updated 2025.01.14

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