Shulou(Shulou.com)11/24 Report--

After the global market carnival triggered by AIGC, the tangible performance contribution is reflected in the financial statements of the relevant listed companies for the first time. From the disclosed income-generating situation, it has been one of the technological innovations with the shortest input-output cycle and the fastest commercial realization in many companies.

The semi-annual results released on Aug. 30 showed that total revenue was 4.503 billion yuan, while revenue in the second quarter was 2.537 billion yuan, an increase of 10.42 percent year-on-year and 29.08 percent month-on-month. Among them, the emerging business "360Smart brain" big model has created nearly 20 million yuan of related business income for the company, which has become the highlight of the outside world.

In addition, a number of listed companies' semi-annual reports disclose income related to the large model, including software value-added income, application enabling income, and service income related to the main business. Analysts at Goldman Sachs estimate that when artificial intelligence is widely used, the median return on Russell 1000 stocks may be 19% higher than the baseline, that is, it could increase revenue for companies by 19%.

However, the amount of income generated by large models is still very small, and there is still a lot of room for benign interaction between the application side and the technical side. Generative artificial intelligence products such as large models need faster and further landing applications. Therefore, how to further change the large model from "multiple choice questions" to "application questions" is a subject that the industry must face directly.

The industrial chain of large model is long, which is involved in computing power support, algorithm research and development, model training, and the application layer represented by "AI+X" has the widest extension. According to the survey report of Yiou TE think tank, among many AIGC business scenarios such as human resources management and digital office, marketing is currently the scene with the most mature layout of service providers and the highest customer demand expectations, including marketing content generation, innovative operation (virtual anchors, virtual scenes, etc.), marketing strategies and so on.

In a survey conducted by Yiou Research Center, intelligent retail service providers said in an interview that the emergence of AIGC lowered the threshold for creativity, and the direct adoption rate of copywriting designs directly generated by AIGC could reach up to 70 per cent. On the other hand, AIGC can help realize the industrialization of marketing ideas and simplify the landing process of marketing ideas. Executives of advertising media companies said that the emergence of AIGC greatly simplifies the shooting process of posters and advertising videos, and improves the production efficiency of marketing content.

Deloitte research report shows that the current effective conversion rate of social media advertising is less than 3%. On the other hand, AIGC can help business personnel to form marketing strategies and delivery strategies by learning a large number of household preferences and marketing effect feedback, so as to improve advertising exposure and communication effect, and improve enterprise marketing efficiency.

In addition, AIGC is also widely used in IT development. The powerful programming ability of AIGC can not only provide help for algorithm development, greatly improve the development efficiency, but also achieve automatic production of code documents, which is convenient for later maintenance. According to GitHub, up to 80 per cent of the code will come from AI in the next five years.

With the continuous development of the application of large models in marketing, research and development, production, customer service and so on, the role of AIGC in helping enterprises to reduce costs and increase efficiency has been more recognized, and more and more small and medium-sized enterprises are eager to keep up with this wave. However, the training of large models is difficult, costly, and requires high computing scale and performance. in addition, the collection, mining, construction, screening and cleaning of large-scale data is also a huge project. It is not realistic for every company to start from the bottom, which also provides a lot of living space for the blooming of the industry model.

Multipoint Dmall has been working in retail SaaS for eight years and has recently begun to integrate into large models. For example, Multipoint Wright, a product that serves growing retailers, recently announced an upgrade plan to help retailers make better use of AIGC, provide as many research assistance and functions as possible, and upgrade their digital business capabilities.

Take the most widely used "Wen Sheng Picture" as an example, advertising pictures and text are generated with one click. In the tight schedule of holidays, a variety of theme scene marketing, new product online experience activities, etc., can achieve the input of keywords, automatically generate pictures, not only improve the marketing efficiency, but also reduce the labor cost. This is just a case of multi-point with the help of large models to enhance technical capabilities, at present, multi-point has been in-depth exploration in eight retail scenarios combined with large models to further help retail enterprises to reduce costs and increase efficiency.

With the increasing improvement of technology, AIGC is expected to further bring revenue growth for enterprises. All industries should consider actively embracing AIGC technology and applying it to all aspects of business in order to improve the competitiveness of enterprises and achieve high-quality development.

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