AIGC Became a Hot Topic; 4 Entrepreneurs have a Collective Layout

Recently, the AIGC concept has quickly become popular in the secondary market, and the share price of related stocks has also been rising. Cinda Securities research report pointed out that before 2021, AIGC will mainly generate text, and the new generation of models can handle the format of content including: text, voice, code, images, video and even 3D content, the potential market space is further opened up.

AIGC will be a productivity tool in the meta-verse, Web3.0 era

Oriental Wealth also released a research report, saying that AIGC is a new content production form after PGC and UGC, and its technology is accelerating its maturity. AIGC generation is shifting from “reducing costs and increasing efficiency” to “creating value”, especially in pictures and video. According to the research report, the fields where the underlying technology is clear and expected to be large-scale in 1-2 years are mainly creative, functional, and text image generation.

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In fact, AIGC is not a new concept. AIGC is all called Artificial Inteligence Generated Content, the content produced by artificial intelligence. The AIGC, NFT, and VR / AR are the three major infrastructures of the metacoverse and Web3.0. As data accumulates, computing power improves, and algorithm iteration increases, AI is gradually penetrating into creative fields such as writing, editing, painting, and video production.

AIGC has broad prospects for development

So what is the use of AIGC?1. AIGC can undertake basic mechanical labor such as information mining, material calling and copy editing with the manufacturing capacity and knowledge level superior to human beings, and meet massive personalized needs in a low marginal cost and high efficiency from the technical level.2. AIGC can foster new business forms and new models by supporting the multi-dimensional interaction, integration and penetration of digital content and other industries.3. Help the development of the “metaverse”. Through AIGC to accelerate the reproduction of the physical world, infinite content creation, so as to achieve spontaneous organic growth.


1) AIGC + media: writing robot, interview assistant, video subtitle generation, voice broadcast, video collection, artificial intelligence synthesis anchor; 2) AIGC + e-commerce: commodity 3D model, virtual anchor, virtual goods yard; 3) AIGC + film: AI script creation, AI synthesis face and voice, AI creation role and scene, AI automatic generation of film and television trailer;

4) AIGC + entertainment: AI face changing applications (such as FaceAPP, ZAO), AI composition (such as Hatsune Future virtual song), AI synthetic audio and video animation; 5) AIGC + education: AI synthetic virtual teachers, AI make historical figures according to textbooks, AI convert 2D textbooks into 3D; 6) AIGC + finance: automatic production of financial information and product introduction video content through AIGC, shaping virtual digital person customer service through AIGC;

7) AIGC + medical treatment; AIGC synthesizes language audio for voice loss persons, synthetic body projection for the disabled person, and synthetic medical companionship for patients with mental illness; 8) AIGC + industry: Complete repeated low-level tasks in engineering design through AIGC, generate derivative designs through AIGC, and inspire engineers.

The explosion of AIGC has naturally attracted countless attention, and the commercialization potential of big models is becoming increasingly clear. Large model enterprises can “provide services on demand” according to the actual needs of B and C-end users, and conduct commercial transformation; it can also increase the use of cloud computing and cloud storage. AIGC has a broad development prospect and is expected to become a new path for the commercialization of large models and long-term value exploration.

Four AIGC industry chain core entrepreneurs

Google(GOOG): Google has released Imagen Video, an AI-generated video model, Phenaki, also opened the first test of their own text image model Imagen. Since its launch, Imagen has been compared to OpenAI’s DALL-E 2 and Stability AI’s Stable Diffusion, but Google has been cautious about not opening the model to the public. But now, Google has finally announced that it will be adding Imagen to its AI Test Kitchen app as a way to gather early feedback about the technology.

AIGC technology is becoming more and more widely used in various  industries, and the market potential is gradually emerging – DeFi  Cryptocurrency – Digital wallet – what is an nft – what is the metaverse

AI Test Kitchen, an app that Google launched this year to test various AI systems that initially allowed users to communicate only with the AI chatbot LaMDA 2, will add two new ways to interact with Imagen. In addition, Google has released four of its latest AIGC technologies, which can generate high-resolution long videos, 3D models, music, code, text content, and more, based on text prompts.

Baidu (BIDU): Robin Li, founder, and CEO of Baidu, said that AI has made great progress in the past year, both in technology and in commercial applications, with some even changes in direction. Among them, the direction change of artificial intelligence technology is AIGC.

And Baijia is the “advance force” of the Baidu mobile ecological AIGC application. In addition to the AI painting function, AIGC graphic to video technology, Baijia has also launched a digital host, to achieve more scene application experience for creators. It can not only automatically broadcast news, but also be competent for multilingual broadcast, sign language hosting, 24-hour automatic broadcast, and other tasks.

WIMI Hologram Cloud (WIMI): WIMI Hologram Cloud has AIGC technology reserves, and has long adhered to the integration of AI and AR to create future-oriented technical capabilities, developed AR live broadcasting technology, AI face recognition, gradually explored and verified AR remote collaboration, AI image recognition and other scenarios, and made breakthroughs in targeted research and development. In the future, the company will continue to focus on market trends and forward-looking technologies, and provide more tools and content support for user creation in the Web 3.0 era.

It is worth noting that the AIGC capabilities mainly rely on artificial intelligence technology, including pre-trained large models, deep learning platforms, and artificial intelligence chips. WIMI established the holographic academy of sciences in the field of artificial intelligence, at the algorithm level, gives the new role of AI algorithm, no longer limited to command control, but more image structure and big data analysis, play its excellent computing ability, improve the efficiency of the overall platform, help the development of digital content creation engine, the universe scene development tools.

Alibaba (BABA): Alibaba has also launched its first Chinese-language AI model community, aiming to lower the threshold of AI applications and build the “infrastructure” of the AI era. Alibaba’s Alidamo Institute led the launch of the magic build community ModelScope. More than 300 models were first launched in the community, including more than 100 Chinese models, covering major AI fields such as vision, speech, natural language processing, and multimodal, covering more than 60 mainstream tasks, all of which are fully open-source and open for use.

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Looking ahead, the AIGC has a huge space for development. According to industry agencies, generative AI will account for 10% of all generated data, according to 2025. According to Generative AI: A Creative New World, AIGC has the potential to generate trillions of dollars in economic value in the future.