In a recently released report, CITIC Securities analyzed the development prospects of China's artificial intelligence (AI) industry, believing that the sector will yield significant excess returns in the next 1-2 years. The report mentioned that OpenAI recently announced its transition from a for-profit company to a public benefit corporation (PBC), which has attracted considerable attention from the capital markets and the industry.
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In the past, OpenAI operated under a unique structure where a "non-profit organization" held a "limited profit company," which has been a topic of discussion in the industry. With this transition to a public benefit corporation, OpenAI Global can better achieve profitability and external financing after a series of adjustments. Meanwhile, this change will also facilitate more proactive collaborations with other partners beyond Microsoft, such as Google Cloud.
As AI technology continues to be deeply applied, it is expected that by 2025, the model capabilities of AI companies will reach new heights. During this process, competition for talent and capital will become increasingly fierce. However, this also means that AI companies will encounter opportunities for rapid growth in market share and revenue.
CITIC Securities also pointed out that in the past two years, AI companies in the United States have achieved significant excess returns, and Chinese AI companies are quickly catching up. Looking ahead, they predict that in the next 1-2 years, Chinese artificial intelligence companies and related assets are likely to bring good excess returns, providing new opportunities for investors.
Key Points:
📈 In the next 1-2 years, China's artificial intelligence industry is expected to deliver significant excess returns.
🌐 OpenAI's transition to a public benefit corporation will help it achieve profitability and collaborate with multiple partners.
💡 Chinese AI companies are rapidly following in the footsteps of their American counterparts, with clear opportunities for market share and revenue growth.