OpenAI refocuses on ChatGPT as senior staff depart amid intense AI chatbot competition

Reviewed byNidhi Govil

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OpenAI is prioritizing ChatGPT development over experimental research, leading to senior staff departures including VP of Research Jerry Tworek. Sam Altman declared a 'code red' in December following competitive pressure from Google and Anthropic, but now reports ChatGPT monthly growth has rebounded to over 10% with 800 million weekly users.

OpenAI Undergoes Strategic Reorganization to Prioritize ChatGPT

OpenAI is shifting its focus from long-term experimental research to advancing ChatGPT, marking a significant transformation for the $500 billion company as it faces mounting pressure from competitors like Google and Anthropic

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. The San Francisco-based company has reallocated resources away from experimental work toward improving the large language models that power its flagship AI chatbot, according to 10 current and former employees

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Source: Ars Technica

Source: Ars Technica

This strategic reorganization has prompted senior staff departures from the company. Vice President of Research Jerry Tworek, who led efforts on AI model reasoning and the o1 model, left OpenAI in January after seven years, stating he wanted to explore "types of research that are hard to do at OpenAI"

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. Model policy researcher Andrea Vallone, who headed safety research on mental health responses, joined rival Anthropic after being given what sources described as an "impossible" mission

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. Economist Tom Cunningham departed in September, citing a "growing tension between conducting rigorous analysis and serving as an informal promotional entity for OpenAI"

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Code Red Memo Triggers Shift Toward Product-Driven Entity

In December, Sam Altman declared a "code red" over the urgent need to improve ChatGPT

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. The Code Red memo came after Google's Gemini 3 model outperformed OpenAI on independent benchmarks and as Anthropic's Claude model made significant strides in generating computer code

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. This directive temporarily sidelined several projects to concentrate efforts on the chatbot serving over 800 million weekly users

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Source: Benzinga

Source: Benzinga

The transformation reflects OpenAI's evolution from a research lab into one of Silicon Valley's biggest companies, now operating as a product-driven entity

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. Led by Sam Altman, the company must prove to investors it can generate revenues justifying its $500 billion valuation

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. The company achieved an annual revenue run-rate exceeding $20 billion in 2025

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ChatGPT Monthly Growth Rebounds Amid Competitive Pressure

Sam Altman recently told employees that ChatGPT is "back to exceeding 10% monthly growth," signaling a turnaround after the concentrated effort

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. In an internal Slack message viewed by CNBC, Altman also revealed that OpenAI is preparing to launch an updated chat model this week

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. The company's coding product Codex grew approximately 50% in a week following the release of GPT-5.3-Codex, designed for agentic coding tasks

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AI chatbot competition has intensified significantly. Google Gemini app exceeded 750 million monthly active users at the end of December quarter, while Anthropic has emerged as a disrupter with software developers embracing its AI for coding

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. Anthropic is pushing for business deals with products like Claude Cowork, which executes computer tasks for white-collar workers

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Research Teams Face Resource Constraints

Multiple sources close to OpenAI said researchers not working on large language models often had their computing credit requests denied or received insufficient amounts to validate research. Teams working on video and image generation models Sora and DALL-E felt neglected and under-resourced, as their projects were deemed less relevant to ChatGPT

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. Several non-language model projects have been wound down over the past year

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Source: Digit

Source: Digit

Chief Research Officer Mark Chen rejected characterizations that OpenAI is abandoning foundational research, stating that "long-term, foundational research remains central to OpenAI and continues to account for the majority of our compute and investment"

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. Chen emphasized that pairing research with real-world deployment "strengthens our science by accelerating feedback, learning loops and rigour"

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. However, former employees described feeling like "second-class citizens" when pursuing projects outside the main strategic bets

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