Question

Can you make money by discussing Chinese AI?

Answer 1

China's AI can make money, and the market size and application scenarios are expanding rapidly, with significant profit potential.

From the perspective of market size, China, as the world's second largest AI market, is expected to account for more than 30% of the global AI market in 2025. The market size of the AI ​​large model industry will increase from 1.765 billion yuan in 2023 to 4.4 billion yuan in 2024, with huge room for future growth.

From the perspective of profit model, AI companies can realize revenue through SaaS services, API calls, and customized enterprise solutions. For example, provide AI-based software services, charge by subscription or API call number; provide AI model APIs to developers, charge by call number or token; or customize scenario-based AI applications for B-side companies to meet specific business needs.

From the perspective of application scenarios, AI has been widely used in smart homes, smart wearables, autonomous driving, medical health, consumer upgrades and other fields. For example, AI refrigerators can sense the storage of food ingredients and provide personalized diet plans; AI robots can take on roles such as elderly care and family butlers; AI technology has also promoted the development of logistics technologies such as unmanned vehicles and automated warehousing.

In addition, policy support and technological innovation also provide strong guarantees for AI profitability. China is accelerating the "artificial intelligence +" action to promote the deep integration of AI with consumption and industry. At the same time, the breakthrough progress of AI large model technology has further expanded the application boundaries and profit space of AI.

Answer 2

In China, AI does provide opportunities to make money. With the development of technology, AI has penetrated into various industries, from improving efficiency to creating new products and services, bringing new sources of income to individuals and enterprises. For example, using AI can upgrade the original workflow, such as design, writing, video production, etc., thereby greatly improving work efficiency and quality. In addition, for those who do not have programming skills, by using existing AI tools and services, they can also participate in content creation, marketing, customer service and other fields, and then make profits.

Some specific AI application areas include but are not limited to: AI painting, AI writing, AI video production, AI office efficiency, AI music creation, and AI digital people. These fields not only have relatively low thresholds, but also have strong market demand and can be quickly realized. At the same time, providing AI-related training, tutorials, tools and other services is also an important profit direction.

However, despite the existence of opportunities, success is not achieved overnight. You need to have a deep understanding of AI tools and choose the right project based on your own interests and expertise. At the same time, you also need to continue to learn and adapt to the changing technological environment. It is worth noting that there are many exaggerated propaganda about AI in the market, so you should be rational when looking for opportunities and avoid blindly following the trend.

In summary, the Chinese AI market is full of opportunities, but to profit from it, you need to have the corresponding knowledge, skills and keen market insight. It is important to find a project with real potential and realize its commercial value through continuous practice and optimization.

Answer 3

China's AI can make money, because driven by government support, huge data resources and rich technology application scenarios, it has been widely infiltrated into manufacturing, finance, medical care, education, e-commerce and other fields, helping industrial upgrading and business model innovation, so that AI companies can realize monetization through diversified business paths such as algorithm services, data analysis, smart hardware, SaaS platforms, autonomous driving, smart cities, etc.; at the same time, China's huge user base and consumer market provide a soil for the rapid implementation and large-scale profitability of AI technology, especially in the fields of intelligent customer service, face recognition, recommendation systems, AIGC (generative artificial intelligence), etc., which have generated a lot of commercial returns. Leading companies such as Baidu, Alibaba, Tencent, Huawei, iFlytek, SenseTime, Megvii, etc. have formed new revenue growth points through AI; in addition, with the implementation of the "new quality productivity" strategy, AI is becoming a key engine to promote the high-quality development of China's economy. In the future, there is still huge commercial potential and market space in AI chips, basic large models, and industrial AI. Therefore, China's AI can not only make money, but also have long-term sustainable profitability and capital attractiveness.

Answer 4

The money-making opportunities in China's AI field are extensive and diversified, covering multiple levels such as technology application, industrial upgrading, entrepreneurship and innovation. The following is a specific analysis and practical cases:

I. Money-making opportunities in AI core application fields

AI digital human promotion

Promote products through AI-generated digital human videos, such as using tools such as HeyGen to reduce creation costs. A certain account achieved sales of more than 210,000 through digital human videos, mainly using the free time mechanism.

AI writing tools

AI writing tools (such as Writing Cat and Pen God) can assist in content creation and lower the threshold for writing. Enterprises or individuals can realize revenue by providing paid content or advertising.

AI medical and finance

Medical: AI assists in the diagnosis of diseases, drug development, etc., to improve medical efficiency.

Finance: Intelligent investment and risk prediction through big data analysis to reduce the cost of enterprises and investors.

II. Innovative applications in vertical fields

AI education

Provide personalized learning solutions, adjust teaching content according to student learning data, suitable for educational institutions or online education platforms.

AI Art and Design

Music Creation : AI generates unique music works, which can be sold through platforms or monetized through advertising.

Design Services : Such as mobile wallpapers and computer interface design, using AI tools to improve efficiency and reduce costs.

III. Industrial Upgrading and Investment Direction

Corporate Cooperation and Ecological Layout

For example, Apple and Alibaba cooperated to develop AI functions and integrate e-commerce and cloud computing resources. Enterprises can obtain long-term benefits through technical cooperation or investment in AI start-ups.

Unmanned Driving and New Energy Vehicles

Driven by national policies, unmanned driving technology will usher in explosive growth, and related industrial chains (such as sensors and algorithm development) will create a large number of employment opportunities.

IV. High-threshold but high-return fields

AI chips and computing power platforms

Tencent, Alibaba Cloud and other giants provide AI computing power services through self-built chips (such as the Ascend series) and charge companies for use.

AI Content Ecological Monetization

Vertical content creators can realize revenue through advertising and paid content. For example, educational videos can attract parents to pay, and emotional videos are easy to form traffic monetization due to their high resonance.

V. Risks and Suggestions

Technical threshold: AI requires continuous learning, and it is recommended to start with basic tools (such as Python and deep learning frameworks).

Market verification: Choose projects with clear needs and user base to reduce entrepreneurial risks.

Compliance awareness: Pay attention to data privacy and intellectual property protection to avoid legal disputes.

Summary

China has abundant AI money-making opportunities, but it is necessary to choose directions based on its own resources and market demand. Low-threshold projects (such as digital people bringing goods) are suitable for individual entrepreneurship, while high-threshold technical directions (such as AI chips) are suitable for teamwork and long-term investment. As AI technology continues to mature, the pattern of wealth distribution may also undergo profound changes.