OpenAI’s Financial Struggle: Navigating the Turbulent Waters of AI Dominance

From Monopoly to Competition, Inside OpenAI's Battle for Survival and Innovation in the AI Arena

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Undoubtedly, the significant interest in artificial intelligence began last November when OpenAI first released ChatGPT for public use.

The basic version of ChatGPT can be used for free. However, those who desire faster response times and other benefits can subscribe for $20 per month, plus VAT.

OpenAI’s challenge lies in covering the substantial operating costs of ChatGPT, which seem not to be fully offset by subscriptions. Unofficial leaks suggest the company spends around $700,000 per day just on ChatGPT 3.5. Costs for other services like GPT-4 are not included in this amount.

This has led some to speculate that financial issues might lead to bankruptcy. Worries about this were fueled by a decline in ChatGPT users over the last two months, following the initial excitement and record sign-ups. According to SimilarWeb, usage dropped by 12% in July compared to June.

About OpenAI

OpenAI was founded in December 2015 in San Francisco as a non-profit organization by Sam Altman, Elon Musk, Peter Thiel, and others. While Musk resigned from the board in 2018, he continued as a financial backer.

Significant funding has been received from Microsoft, which invested $1 billion in OpenAI Limited Partnership (a for-profit subsidiary of OpenAI) in 2019 and committed to an additional $10 billion in the following years, starting from January 2023.

Currently, funding from Microsoft and other venture capital firms keeps OpenAI operational. However, projections of reaching $200 million in annual revenue by 2023 and $1 billion by 2024 appear overly ambitious, given the circumstances and emerging competition.

Publicly, Sam Altman states that his intention is not to profit from OpenAI but to provide a highly useful tool for humanity. Nevertheless, this viewpoint doesn’t necessarily reflect the perspective of Microsoft and other investors.

Competition and GPU Shortages

ChatGPT is no longer a monopoly, as various open-source Large Language Model (LLM) models have emerged. These models can be freely used and adapted for specific tasks.

OpenAI’s API (Application Programming Interface) is also part of the equation. APIs serve as bridges between different applications, enabling the development of tools, automation, collaboration between systems, and more. Many companies that initially discouraged their employees from using ChatGPT are now purchasing OpenAI’s APIs to create their own AI chatbots for various tasks.

The cost of training a model similar to GPT-3 ranges from $500,000 to $4.5 million, depending on the computational resources used. This cost is not prohibitive for organizations looking to enter the field.

While the code for advanced language models isn’t extensive, advancements are influenced by processing power and training data. With ongoing technological advancements, companies like Google, Meta, and Musk’s xAI are considered OpenAI’s main competitors.

Business Model Challenges

The combination of high operational costs, user decline, and the challenge of generating additional revenue presents financial problems for OpenAI. Nonetheless, the demand for AI-based services continues to rise. ChatGPT set a global record, attracting users at an unprecedented rate. User retention and growth will likely lead to revenue generation over time.

With a solid user base, providing valuable or entertaining services, revenue is likely to follow eventually. Similar cases can be observed with Facebook, Twitter, and other applications that initially struggled before becoming profitable.

Microsoft, in particular, is unlikely to let OpenAI falter. It values OpenAI as a competitive advantage in its rivalry with Google. Thus, the possibility of bankruptcy is not a serious consideration. However, discussions about altering the initial business model are underway.


In conclusion, while OpenAI faces financial challenges due to operational costs and competition, its strong user base and growing demand for AI-powered services provide a promising outlook.

Adjustments to its business model could contribute to sustained success in this rapidly evolving landscape.


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