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Recently, according to media The Information, citing people familiar with the matter, OpenAI's annualized revenue has recently exceeded $1.6 billion, up from an estimate of $1.3 billion in mid-October, due to the strong growth of ChatGPT, the "star product" of artificial intelligence (AI).
The latest annualized revenue figures indicate that OpenAI generates at least $130 million per month by selling ChatGPT subscriptions and giving software developers access to its models through application programming interfaces. This figure is a financial milestone and reflects the company's success in the commercial direction.
Compared to last year, the company's full-year revenue for 2022 is only $28 million, which means that the latest estimate of annualized revenue is a whopping 56 times higher than last year.
The success of ChatGPT's product has driven OpenAI's overall performance, showing a strong demand for advanced natural language processing technology. The success of ChatGPT proves that large language models are widely used in many fields such as natural language understanding, intelligent customer service, and content generation. With the continuous advancement of artificial intelligence technology, the application prospect of large language models is broader. The success of ChatGPT has also injected new life into OpenAI, while setting a successful example for the entire AI industry. This shows the great potential of large language models in business and technology, and indicates that this field will continue to flourish in the future.
-- Summary of large models trained by generative AI
The ultra-large-scale intelligent model, or large model for short, is a new AI computing paradigm that has emerged in recent years. Compared with traditional AI models, large models use more data for training, have better generalization, and can be applied to a wider range of downstream tasks. According to application scenarios, AI large models mainly include language large models, visual large models, and multimodal large models. Typical natural language models in the industry include GPT-3, Yuandao, Wudao, and Wenxin. Large visual models have also been widely used in autonomous driving, intelligent security, medical imaging and other fields. The technology of using Wensheng graphs based on multi-modal large models has also developed rapidly, and AI Generated Content (AIGC) has become the next key area of AI development.
——The industry is hot and sought after by capital
As of April 2023, there are currently 7 unicorns in the AIGC track. In the mainland, Hyperparameters and Xiaoice have clearly become unicorns, Minimax is rumored to be valued at over $1 billion, and Lightyear Away announced that its next funding round has been subscribed for $230 million. At present, the institutions that attract the most attention from leading capital are all related to the underlying large model or the fate of AI leaders (such as Wang Huiwen Lightyear, Li Zhifei, Zhou Bowen, Wang Xiaochuan, etc.).
A number of institutions have made it highly clear that they want to take AIGC as the main investment track, and individual investment institutions have launched corresponding main incubation projects. On the whole, the large army is still in a wait-and-see state that lacks clear logic and targets. However, it is expected that the scale of financing will increase several times this year. With the gradual opening of the underlying large model and the verification of commercial value, it is expected that the financing scale will grow exponentially for the first time in 2024, and the investment will spread to the entire AIGC industry chain.
——Analysis of the penetration of AIGC in various industries
At present, with the deepening integration of the digital economy and the real economy, and the transformation of the digital scene of the Internet platform to the metaverse, the overall demand for the total amount and richness of digital content continues to increase. As a new type of content production mode, AIGC has taken the lead in making significant innovations and developments in industries with a high degree of digitalization and rich content demand, such as media, e-commerce, film and television, and entertainment, and its market potential is gradually emerging. At the same time, in the process of promoting the combination of data and reality and accelerating industrial upgrading, AIGC applications in various industries such as finance, healthcare, manufacturing, and industry are also developing rapidly.
According to IDC, the top five industries in terms of application penetration in Chinese's artificial intelligence industry in 2022 are Internet, finance, government, telecommunications, and manufacturing. In addition, the value of AI for autonomous driving and transportation logistics cannot be ignored, and it is estimated that AI will create 380 billion yuan of economic value for the transportation field.
According to data from the CCID Research Institute of the Ministry of Industry and Information Technology, at present, there are more than 19 language model R&D manufacturers in the mainland. Among them, the model products of 15 manufacturers have passed the record. It is estimated that the market size of the mainland language model will reach 13.23 billion yuan this year, with a growth rate of 110%.
With the expansion of the scale of parameters, since the second half of the year, the disruptive impact of technology has gradually penetrated into the industrial world, reconstructing the traditional industrial form and industrial model. Gartner predicts that by 2026, more than 80% of enterprises will be using generative AI APIs and models in production or deploying generative AI applications.
Prospective Economist APP Information Group
For more research and analysis of this industry, please refer to the "Analysis Report on the Development Prospect Forecast and Investment Strategic Planning of China's AIGC Industry" by Qianzhan Industry Research Institute.
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