How AIGC is Transforming the Media Industry

AI generation technologies like ChatGPT have rapidly and directly impacted the entire media industry. When AI technology is used well, it presents a tremendous opportunity; if misused, it could cause a massive shock to the media, similar to the internet and mobile internet in the past. How can “media” transform into “smart media”?

AIGC (AI-Generated Content) refers to the production method that utilizes AI to automatically generate content. In a broader sense, AIGC is achieving the advancement of artificial intelligence from perceiving and understanding the world to generating and creating it.

AIGC represents a new trend in the development of AI technology. In the past, traditional AI focused on analytical capabilities, while now, it is generating new content through vast amounts of training data and generative algorithm models, automatically producing text, images, music, videos, 3D interactive content, and various other forms of content.

Human-Machine Collaboration Enhances Full-Process Reporting

In the past, some mainstream media were slower to react to hot news events compared to self-media, due to the reporting process: “Discover clues—Establish contact—On-site interviews—Draft writing—Review—Report.” In the intelligent news production operation, this process can be simplified, but the traditional three-tier review mechanism remains necessary.

How AIGC is Transforming the Media Industry

“Full-process media” means that the media must track news events from beginning to end. From the audience’s (user’s) perspective, a complete news reporting process includes: capturing relevant information at the early stage of an event, quickly grasping the highlights for questioning; during the event’s mid-stage, timely following up on the latest attitudes and developments from all parties, providing the most up-to-date, authentic, comprehensive, and in-depth information; and in the post-event stage, providing summary, comparative, and chronological reporting, accompanied by commentary or reviews, to conclude a complete news report.

Throughout the process, utilizing mature intelligent tools to form a human-machine collaborative mechanism can make the construction of mainstream media as “full-process media” faster and more efficient, bringing new visual and interactive experiences and promoting the transformation of media into smart media.

How AIGC Will Impact the Media Industry

AIGC is expected to bring a reevaluation of value in digital marketing and content production, promoting the media’s transition to smart media.

Due to the strong demand for novelty, speed, and differentiation in the content industry, there is an urgent need to lower production thresholds and enhance efficiency, providing a favorable internal demand for AIGC applications.

How AIGC is Transforming the Media Industry

After the mobile internet enters the metaverse, the demand for continuous and real-time content supply becomes more pronounced. In the metaverse, a massive amount of content is needed to fill the digital world, thereby driving the development of digital humans, digital collectibles, exhibition construction teams, etc., and leveraging AIGC is expected to enhance the output efficiency of existing manpower and empower non-professionals.

The consumption of the content industry is continuously upgrading. With the support of AIGC, it helps enhance the sensory experience of digital content. The evolution of media forms such as text, images, videos, short videos, immersive, and interactive formats indicates that new technologies can bring new innovative dividends to content.

From the perspective of key evaluation indicators for content generation, traditional content creation methods are costly, inefficient, and produce unstable, one-sided, and obscure content. Generative AI technology is expected to significantly improve the efficiency of digital commercial content generation and reduce production costs, achieving automation while also reaching industrialization thresholds.

From a creation standpoint, the personalization of content generation will also promote the development of UGC (User-Generated Content).

AIGC Market Size: Trillions Awaited

The Quantum Bit Think Tank has produced the first panoramic report on the AIGC industry: the domestic market size is expected to reach 17 billion RMB in 2023, and by 2030, the market size will exceed 1 trillion RMB.

Discussing market size cannot be separated from commercialization. The premise of commercialization is the application of scenarios. New technologies can only bring changes in productivity when there are application scenarios. The progress and integration of AI technology is one of the core driving forces for digital business development. AI technology has shown potential for integrated development with the business ecosystem in four areas:

Voice recognition: By enabling commercial devices to gain voice capabilities, human-machine communication efficiency is improved and is currently being scaled in various scenarios such as smart translation, smart healthcare, smart automotive, and smart customer service;

Chatbots: Based on natural language processing technology, allowing computer programs to simulate human conversation;

Computer vision: In the fields of facial recognition, image recognition, etc., computer vision has already been widely applied, and in areas like medical diagnosis, video surveillance, and three-dimensional vision, this technology has also replaced human eyes;

Generative AI: Allowing AI to automatically generate content, with computers automatically creating text, music, images, and voice.

AIGC has empowered numerous content creation cases: Mita Digital Art Community, under Zhejiang Wenlian, was the first to launch the upgraded version of the Mihua creation tool “AI Painting,” which has made rapid progress through multiple algorithm upgrades, leading the AIGC creative trend, fully supporting popular painting types, and continuously improving accuracy. Currently, Mita’s “AI Painting” tool has achieved high accuracy support for two-dimensional animation and other painting forms. In the next stage, the Mihua AIGC algorithm will continue to upgrade, further optimizing popular painting types such as full-color CG, national style, illustrations, and steampunk, providing a more professional AI painting creation experience.

How AIGC is Transforming the Media Industry

In the numerous application scenarios of AIGC, the AI video generation industry has a relatively concentrated competitive landscape, dominated by a few internet giants that have both AIGC technology development platforms and video platforms. Leading companies in China’s market include Baidu, Alibaba, Tencent, and iQIYI.

From the perspective of competitive trends in China’s AI video generation industry, internet giants have created an insurmountable market advantage barrier due to their strong R&D capabilities, industry chain layout, and vast user base.

From the 2B/2C perspective of AIGC applications, the 2C payment model has a ceiling, while the commercial boundaries of AIGC can be fully realized in the 2B space, reflected in digital marketing, content production, and media iteration.

Overall, the technological revolution brought about by AIGC may even surpass the changes brought by the internet and mobile internet, akin to the productivity enhancement of trains compared to horse-drawn carriages during the industrial revolution. Because AIGC is unlike any previous technology, “intelligence” is the foundation of all other technologies, and it is human intelligence that has enabled the invention of various technologies.

The AI era has arrived; instead of hiding or escaping, it is better to actively embrace the challenges of AI and transform them into one’s own advantages.

Source: WeChat public account Shizhu Media New Consumption “How AIGC Will Impact the Media Industry”, WeChat public account De Wai No. 5 “Eight Major Trends Reshaping the Short Video Market with AI Technology”

Editor: Yang Yang

Designer: Dao Xu

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How AIGC is Transforming the Media Industry