評論: 摩根大通：OpenAI未來4年將燒錢3000多億 2029才盈利

OpenAI技術根基深厚，不是曇花一現的概念炒作
OpenAI 不隻是追逐風口的公司，它在基礎模型（如 GPT-4、Codex、DALL·E 等）方麵擁有真正領先的科研和工程能力。OpenAI 發布的多項論文和模型在學術界和工業界廣泛引用，這種深度遠超“炒概念”。

強大的商業模式和收入基礎
OpenAI 已經通過 ChatGPT Plus、API 接入、企業服務（如 ChatGPT Team / Enterprise）、與微軟的 Azure OpenAI Service 等方式建立了穩定且多元的收入來源。2024 年數據顯示，OpenAI 的年收入已超過 20 億美元，而且仍在快速增長。

與微軟的戰略合作穩固其長期發展
OpenAI 與微軟的合作不僅提供了巨大的算力資源（Azure 支持），微軟還將 GPT 模型深度集成進 Office、Windows 和 GitHub Copilot 等產品，這使得 OpenAI 的技術有“剛需級”使用場景，不容易被替代或拋棄。

泡沫≠崩潰，而是自然調整
是的，AI 行業目前確實存在投資過熱、估值偏高等“泡沫”現象，但曆史多次證明：科技泡沫破裂後，真正有價值的公司（如 Amazon、Google）都會繼續發展。OpenAI 更像是“泡沫中的基礎設施”而非泡沫本身。

行業標準製定者的角色越來越穩固
OpenAI 正在參與製定 AI 安全、AI 倫理的全球討論，其 CEO Sam Altman 多次出席國際會議並倡導監管。一個參與規則製定的公司，其生命力和影響力遠非初創泡沫可比。

總結反問：
如果 OpenAI 隻是一個泡沫公司，它如何能每年吸引數千萬用戶、驅動全球 AI 創業熱潮、甚至成為 Google、Meta 等巨頭競爭的目標？難道我們要把整個 AI 基礎模型變革都歸為“短期泡沫”嗎？

很難持久。泡沫來臨立刻垮掉。

OpenAI can make a profit through several key revenue streams, many of which are already active. Here’s a breakdown of how OpenAI monetizes its technology and where future opportunities lie:

1. Subscriptions
Primary revenue source currently.

ChatGPT Plus: $20/month for access to GPT-4, faster responses, and priority access.

Team & Enterprise plans: Higher-tier services for businesses with advanced collaboration, security, and customization features.

API usage (via OpenAI platform or Microsoft Azure): Developers and companies pay based on usage (tokens, requests, etc.).

2. Licensing & Partnerships
Microsoft Partnership:

Microsoft invested over $10 billion.

OpenAI licenses its models to Microsoft, which integrates them into products like:

Copilot in Microsoft 365 (Word, Excel, etc.)

Azure OpenAI Service (cloud-based API access)

This is a major revenue channel for both companies.

3. API Usage (B2B Sales)
Businesses build tools, chatbots, apps, and software using OpenAI’s models via API.

OpenAI charges for:

GPT (text generation)

DALL·E (image generation)

Whisper (speech-to-text)

Codex (code generation)

Fine-tuning and embeddings services

4. Custom Model Training & Fine-Tuning
Enterprises can pay for custom versions of models fine-tuned on their proprietary data.

OpenAI can offer consulting, support, and training services for implementation and scaling.

5. Developer Ecosystem
OpenAI takes a cut from third-party apps built and sold within its ecosystem (e.g., in the ChatGPT app's plugin or custom GPT stores).

Developers can monetize their creations; OpenAI profits via revenue share.

6. Enterprise AI Solutions
Custom AI integrations, white-label solutions, and consulting for large-scale companies or government applications.

Includes industries like:

Healthcare

Finance

Education

Legal tech

Cybersecurity

7. Advertising (Currently Not Used)
The ChatGPT app has no ads, but theoretically, this could be a monetization option in the future, especially for free-tier users.

Sponsored plugins or featured GPTs might become ad-like options.

8. Data Services & Tools
Potentially monetizing proprietary datasets, annotation tools, or offering data-cleaning and preparation services.

9. Hardware (Future Potential)
If OpenAI ever moves into edge computing or AI-optimized devices, it could generate revenue via hardware sales or partnerships.

10. Research Collaborations & Grants
Government or institutional funding for cutting-edge research in safety, alignment, or foundational AI models.

燒錢3000億太少了，應該燒錢30000億，才有盈利機會

到2029也不會盈利，開源AI勢如破竹。哪有盈利空間。