Hello! I'm your financial and business news analysis assistant. The article about "Hou Xiyang Ji" (The After Journey to the West) contains a lot of information, covering both the intense fluctuations in the capital market and the underlying logic of AI-driven film and television production.
To help you understand it easily, I've broken down this long article into a "Core Summary" and a "Five-Dimensional In-depth Analysis." We'll try to use plain language to explain this complex topic clearly.
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📝 Core Content Summary
In one sentence:
The first domestic AIGC (Artificial Intelligence Generated Content) long drama, "Hou Xiyang Ji," was released on Mango TV. Although the plot and visuals are still controversial, it caused a "rollercoaster" reaction in the capital market—stock prices soared by 50% before quickly falling back.
Key points:
1. Polarized market reactions: Viewers found some parts stunning, while others felt the performances were stiff; investors saw potential but were concerned about sustainability, leading to significant price fluctuations.
2. Dramatic change in cost structure: Traditional film and television rely on a large cast and real-world sets, while AI-based productions use computing power and specialized workflows. The cost per episode has dropped from millions to around 900,000 yuan, but this doesn't mean it's free; computing power has become the new major expense.
3. Technology is not a panacea: AI is not just a drawing tool; it's more like a new employee that needs careful training. The biggest current challenges are consistency in long shots, character expressions, and complex action sequences.
4. Strategic significance over immediate profit: Mango TV is producing this drama not to make immediate money but to test the feasibility of the technology, establish production processes, and train talent, paving the way for the industrialization of AI in film and television.
5. Future competition will focus on content: Once AI becomes widespread, everyone will be able to produce high-quality visuals. The real competition will be about the quality of the story and the believability of the characters.
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🔍 Five-Dimensional In-depth Analysis
1. The Capital Market's "Emotional Rollercoaster": Why did stock prices rise and then fall?
Phenomenon:
After the release of "Hou Xiyang Ji," Mango Super Media's stock price rose by 50% in five days, increasing its market value by over 13 billion yuan. However, the stock price dropped back to near its original level after three days, with a market value loss of over 8 billion yuan.
Plain language explanation:
It's like a restaurant announcing it's going to use robots to cook. At first, people are excited (stock prices rise), but when the food is served, they notice:
- Some dishes look impressive (visual impact),
- Some taste strange (stiff performances, slow pacing),
- And the meal isn't over yet (more episodes are scheduled for the winter break).
Rational investors then start to question whether this is a real capability or just a gimmick. If AI makes making long dramas so easy, why wasn't it done before? If it's so difficult, can the profits be sustained?
Conclusion: The initial rise in stock prices was a market reaction to the concept of AI-driven film and television, while the subsequent drop reflected a re-evaluation of the actual capabilities and profit potential. This shows that the capital market is discerning and no longer just chasing concepts but is looking at the practical benefits.
2. The "Dimensional Reduction" in Production Methods: How much does AI save?
Phenomenon:
Traditional film and television might spend 4 million yuan on a 3-minute fight scene, including setting up and filming for a week. "Hou Xiyang Ji" spent only 30,000 to 40,000 yuan on the same scene, with a budget of around 900,000 yuan per episode, or 20,000 to 30,000 yuan per minute.
Plain language explanation:
Making movies used to be like building a house: you needed land, workers, materials, and designers. These are all fixed costs, and mistakes could result in huge losses if you had to reshoot.
With AI, it's like printing a photo. You don't need to go to the Mountain of Flowers and Fruits or hire hundreds of monkey actors.
- Savings: Actor salaries, set construction, photography teams, post-production effects.
- Additional costs: Computing power (electricity/server fees), AI specialists (directors who understand AI), and time spent on repeated generation.
Key point: AI isn't a free lunch. Although it's much cheaper, the cost of computing power is increasing (generating 4K video can cost hundreds of yuan). The essence of cost reduction is a shift from heavy assets (people, sets) to light assets (computing power, creativity). In the future, the competition will be about who has smoother workflows and knows how to effectively use AI.
3. The Challenges Behind the Technology: AI Isn't Magic; It's a "Logical Machine"
Phenomenon:
The team found that the monkeys performed naturally in the early stages but became stiff in the later episodes. The reason turned out to be a missing tail in the character design. Without a tail, AI assumed the character was human, leading to stiff movements; with a tail, it treated the character as a monkey, making the movements more natural.
Plain language explanation:
Many think AI is magical, but it's more like an extremely meticulous and sometimes illogical intern.
- It doesn't understand subtleties: If you tell it to create a monkey, it only relies on the provided images. If the image doesn't have a tail, it assumes the monkey has no tail, resulting in stiff movements.
- It can't correct itself: If the information given is contradictory, it won't question it but will try to make sense of it, resulting in illogical outcomes.
Insight: In the AI era, "prompt engineering" and logical consistency are more important than drawing skills. Directors need to understand art, logic, and even some coding principles. The missing tail example shows that details matter greatly, and AI's sensitivity to them is beyond human imagination.
4. Mango TV's Strategic Move: Why Produce a Long Drama Now?
Phenomenon:
Mango TV's Vice President Lu Haibo said that AIGC accounts for only 40% of the work; the remaining 60% is spent on asset management, collaboration, and other tasks. "Hou Xiyang Ji" is a strategic project, not aimed at immediate profit.
**Plain language explanation:
Why are there so few long dramas? Short dramas have higher error tolerance; long dramas require consistency in dozens of episodes, which is a significant challenge for AI.
Mango TV is doing this to test the technology, establish production processes, and train talent, laying the foundation for the industrialization of AI in film and television.
- Verify technology: Prove that AI can produce 40-minute episodes that meet quality standards and can be aired.
- Develop processes: Establish standardized production methods, such as how to allocate computing power, manage character designs, and ensure AI-generated content meets broadcast standards.
- Position in the ecosystem: If the processes work, Mango TV will have the capability to produce large amounts of AI-driven content at low costs, potentially dominating the market.
In simple terms: This is an investment in infrastructure, similar to how tech companies invested in servers and logistics when the internet was emerging, not for immediate profit but for future opportunities.
5. The Ultimate Competition in the Future: What Will Determine Success?
Phenomenon:
Director Li Dongshen said, "Audiences never pay for technology." He was moved by a scene where the old Monkey King slid down a muddy slope, unable to support himself with his hands, showing a human instinct for protection that AI couldn't replicate.
**Plain language explanation:
AI is impressive for creating new visuals, but in 3-5 years, as models improve, technical barriers like image quality and action smoothness will be leveled out. Then, any company can produce similar content.
When technology is no longer a barrier, content will be the key. Good content is one that resonates with viewers, has believable characters, and unexpected plot twists.
- AI's limitations: AI excels at imitation and generation but struggles with original emotions and complex logic. The touching scene of the old Monkey King sliding down the slope comes from human experiences.
Conclusion:
The future winners won't be those with the strongest AI models but those who understand human nature, have the best imagination, and can tell compelling stories. AI is a tool, but the content and how it's told still depend on humans.
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💡 Insights for Everyone
1. Don't panic about job loss: AI replaces repetitive tasks, not creative work or emotional expression. Roles like directors, writers, and planners become even more important.
2. Focus on workflow skills: If you work in creative fields, learning how to collaborate with AI (using prompts, managing assets, optimizing processes) is more crucial than learning traditional software.
3. Rationally view AI in film and television: Current AI-driven dramas are still in the experimental phase, and technical flaws are normal. As technology improves, the experience will get better, but good stories will always be in demand.
I hope this breakdown helps you fully understand the business logic and technical realities behind "Hou Xiyang Ji"!