Red Alert at OpenAI: Strategic Shift Amidst Fierce AI Rivalry
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Market Dynamics Shifting: OpenAI's "Red Alert" and Its Strategic Resource Reallocation
As a professional engaged with global supply chains, I have witnessed countless enterprises making strategic adjustments in response to sudden market shifts. The current frontrunner in the field of artificial intelligence, OpenAI, is facing such a moment. On December 1, 2025, its CEO, Sam Altman, issued an internal memo to all employees, declaring that the company was entering the highest-level "red alert" status. The core of this decision is to postpone multiple new initiatives—including advertising, shopping and health AI agents, and the personal assistant project—and to refocus all core resources on optimizing the experience of its flagship product, ChatGPT.
This strategic pivot is not without reason. It clearly signals that the dynamics of the AI race, initiated by ChatGPT, are undergoing a subtle yet profound change.
1. Competitive Pressure: Google's Comprehensive Comeback
The immediate trigger for OpenAI's "alert" is the substantive threat posed by Google's Gemini series, particularly the newly released Gemini 3 model.
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Technical Surpassing: Gemini 3 achieved "discontinuous leadership" in multiple core benchmark tests considered measures of AI "intelligence." For instance, its score significantly exceeded that of GPT-5.1 in the ARC-AGI-2 test for novel reasoning abilities and set a new record in the comprehensive reasoning test "Humanity's Last Exam." This marks Google's establishment of a significant advantage in core model capabilities.
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Market Encroachment: More alarming for OpenAI is the rapid migration of user behavior. Data shows that since the release of Gemini 3, the average daily active user count for ChatGPT has declined. In November 2025, Gemini's monthly downloads reached 100.8 million, surpassing ChatGPT's 67.8 million, and user chat duration on Gemini has also surpassed that on ChatGPT.
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Ecosystem Synergy: Leveraging its complete "full-stack" strategy, Google deeply integrates Gemini into its existing ecosystem of products like Search and Android, which boast billions of users. Its image model "Nano Banana" has gained market popularity for inspiring users' "latent creativity," further solidifying its multimodal advantage. This "AI + existing mega-traffic portal" model creates a moat difficult for OpenAI to replicate.

2. Strategic Analysis: OpenAI's Defense and Focus
Faced with this pressure, OpenAI's "red alert" is a classic resource reorganization strategy of "consolidating defenses and reinforcing the core." This is akin to a manufacturer halting the expansion of new production lines in the face of a strong competitor and instead directing all engineers and budgets toward upgrading the performance and yield rate of its core product.
Its optimization targets are very specific, addressing the pain points of daily user experience:
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Enhance Personalization: Provide customized interaction for over 800 million weekly active users.
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Improve Image Generation Capabilities: Respond to challenges from competitors like Google's Nano Banana.
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Optimize Model Behavior: Increase favorability in public evaluations.
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Increase Speed and Reliability: Improve response time and system stability.
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Reduce "Over-refusals": Decrease the frequency of the model unreasonably refusing to answer appropriate questions.
The core purpose of these measures is to pause short-term monetization exploration to protect its greatest asset—its user base and product reputation. OpenAI understands that its future infrastructure investment commitment of up to $1.4 trillion and the prospects of a crucial next round of financing (around $100 billion) heavily depend on its ability to prove to the market and investors that ChatGPT remains the world's best AI product.

3. Future Landscape: From "Model Race" to "Ecosystem War"
The current situation reveals that the AI competition has entered a new phase. The early "single-model performance contest" is evolving into a comprehensive "systematic competition" encompassing the chip layer, model layer, product layer, and ecosystem layer.
| Dimension | OpenAI | |
|---|---|---|
| Core Strategy | Vertical Deep Dive: Focuses on model capabilities and ChatGPT product experience; currently in a phase of strategic defense and focus. | Full-stack Push: Leverages the synergistic advantages of its Search, Android, Cloud, and other ecosystems for integration and diffusion. |
| Recent Key Move | Activated "red alert," postponed new projects, and devoted all efforts to optimizing the core ChatGPT experience. | Launched the leading-performance Gemini 3 and the innovative image model Nano Banana. |
| User/Market Data | Has over 800 million weekly active users, but growth faces pressure, with daily active data showing a decline. | Gemini has over 650 million monthly active users; download numbers and user engagement time have already surpassed ChatGPT. |
| Infrastructure Support | Heavily relies on external computing resources (e.g., Nvidia GPUs) and financing. | Possesses its own TPU chip architecture (e.g., Ironwood), holding an advantage in computing cost and control. |
In this war, Google's in-house TPU chips constitute a deep-seated strategic advantage. This not only reduces the cost of training and running its AI models but also forms a closed loop from hardware to software to application scenarios. As one analyst noted, this systemic capability is posing a potential challenge to Nvidia's industry dominance.
4. Professional Perspective: The Test of Resource Allocation and Long-termism
From a supply chain management viewpoint, OpenAI's decision is a rational choice for an enterprise with limited resources facing intense competition. Withdrawing resources from overextended "exploratory projects" and reinvesting them into the maintenance and upgrade of the "core product" that determines survival is key to preventing the collapse of the main business.
However, this also brings long-term risks: pausing exploration into frontiers like AI Agents—seen as the next paradigm for human-computer interaction—could cause it to lose its first-mover advantage in future races. Currently, AI Agents are regarded as crucial for industrial upgrading, and their widespread adoption is highly anticipated. OpenAI's temporary retreat leaves a window of opportunity for other competitors.

Conclusion
OpenAI's "red alert" signifies a temporary slowdown in the rapid, headlong rush of the artificial intelligence industry, ushering in a period of refinement that emphasizes product polishing, user experience, and sustainable business models. The focus of competition has shifted from "who can create the most stunning demo" to "who can build the most robust and needed product and ecosystem."
For the entire industry, this intense entanglement of giants is not a bad thing. It forces all participants to move beyond vanity metrics of technical parameters and return to the essence of business: creating irreplaceable value for customers. The ultimate beneficiaries will be users and developers worldwide. This battle is far from over; it has merely entered its next, more complex and intriguing chapter.