Market Analysis of AI Ghostwriting Industry: China's Generative AI Market Size to Exceed 10 Trillion Yuan This Year
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As technology increasingly becomes the most dynamic factor in productivity development, the relationship between technological innovation and industrial progress grows ever closer. Technologies such as big data, the internet, cloud computing, blockchain, and artificial intelligence are further demonstrating vigorous vitality and innovation, giving rise to countless emerging industries.
This year, China's generative AI market size is expected to exceed 10 trillion yuan. Generative AI is accelerating its penetration into four major industries: manufacturing, retail, telecommunications, and healthcare.
Data shows that this year, the adoption rate of generative AI among enterprises in China has reached 15%, with a market size of approximately 14.4 trillion yuan. The adoption rates of generative AI technology in the four major industries—manufacturing, retail, telecommunications, and healthcare—have all experienced rapid growth.
Experts predict that by 2035, generative AI could contribute nearly 90 trillion yuan in economic value globally, with China accounting for over 30 trillion yuan, representing more than 40% of the total.
AI ghostwriting is a rapidly developing writing assistance tool in recent years. By leveraging artificial intelligence technology, it enables automated writing and intelligent semantic analysis, significantly improving writing efficiency and quality.
AI ghostwriting can generate various types of written content based on user needs, such as articles, essays, and reports. By analyzing vast amounts of text data and language models, it can automatically produce logically structured articles and make personalized adjustments according to user requirements and writing styles.
At the same time, AI ghostwriting possesses intelligent semantic analysis capabilities, enabling it to deeply understand user needs and requirements, accurately grasp the theme and ideas of an article. It can conduct comprehensive semantic analysis of texts, identify key information and core viewpoints, and generate a compliant manuscript by integrating professional writing standards and grammatical requirements.
AI Ghostwriting Industry Development Prospects Analysis
The launch of AI chatbot ChatGPT at the end of last year sparked a global AI frenzy, propelling AI development into the "fast lane."
According to an industry report, the release of ChatGPT and its competitors like Google Bard will drive a decade-long AI boom. It is projected that by 2032, the revenue of the generative AI market will grow more than 30 times from $40 billion last year to $1.3 trillion.
This year, AI ghostwriting has become popular. Compared to the cost of 60-80 yuan per thousand words for human writing, AI ghostwriting offers a "permanently free" AI writing tool for less than 30 yuan. By inputting keywords, users can instantly generate year-end summary reports with a single click.
The rapid development of AI ghostwriting is driven by surging demand. Taking year-end summaries as an example, they are meant to help employees review their annual work, self-reflect, and self-motivate. However, many people struggle with "having nothing to say" in their summaries, leading them to delegate the task to AI.
The principle behind AI-generated content creation roughly involves generating copy and creating PPTs based on keywords and content descriptions. Essentially, it uses AI technology to structure content, fill in vocabulary, and reference materials. Therefore, AI-generated writing services currently tend to target broad, less creative content. Compared to human writing, it cannot propose innovative viewpoints, struggles with emotional engagement and personal flair, and often ends up as a pile of clichés, making much of the output merely "semi-finished products."
With the continuous development of Natural Language Processing (NLP) technology, the capabilities of AI-generated writing will keep improving. NLP technology can help AI better understand and generate human language, making AI-generated writing more natural and fluent while reducing grammatical errors and unclear expressions. This will broaden the application of AI-generated writing across various fields, such as news reporting, advertising copy, academic papers, and more, where it can play a significant role.
Furthermore, the AI-generated writing industry will also benefit from advancements in big data and machine learning technologies. These technologies can help AI writing systems better learn and master various writing styles and techniques, thereby producing more personalized and targeted drafts. Simultaneously, by learning and analyzing vast amounts of textual data, AI writing systems can automatically identify and correct errors and irregularities in texts, improving the quality and accuracy of the drafts.
Since the launch of ChatGPT at the end of last year, the demand for generative AI has surged globally, with the potential to revolutionize everything from customer service to banking. This generative AI product uses massive data samples from the internet to learn how to respond to instructions, capable of producing realistic images and answering questions just like a human.
The wave of artificial intelligence is sweeping across the world, and the future development of AI will focus on more diversified application scenarios. Some institutions predict that by 2030, 90% of digital content will be AI-generated, and it is estimated that by 2032, the global market size of AI video generation software alone will reach $2.172 billion.