The National Radio and Television Administration has officially implemented the Measures for the Administration of Micro-Drama Development, the first specialized departmental regulation in the micro-drama sector. This signals that a wave of low-quality AI micro-drama content will be cleared out, carrying significant importance for advancing high-quality development across the AI micro-drama industry.
With the continuous iteration of artificial intelligence generated content (AIGC) technology, powered by text-to-video large language models, audio-driven facial technology, high-fidelity emotional speech synthesis, and character consistency control algorithms, AI micro-dramas are delivering an increasingly strong sense of realism to audiences. A growing number of AI micro-dramas are also collecting real people's photos and voices for "face merging" and "voice merging," further depicting subtle facial expressions and natural body movements, achieving precise alignment between lip movements and dialogue, and becoming ever closer to live-action productions in both visual and auditory dimensions.
However, this also harbors potential risks related to portrait rights. The "face" is becoming a third production material for AI micro-dramas alongside computing power and scripts. To escape the predicament of AI micro-dramas featuring "one face for a thousand dramas" and "one look for a thousand people," creators are gradually exploring distinctive and recognizable character images, and AI "face purchasing" recruitment has already become popular on some social platforms. As relevant laws and regulations remain incomplete, infringements such as "face theft and voice theft" are easily bred. This practice also makes it difficult for ordinary audiences to distinguish AI-generated content from live-action footage. Particularly for young people whose cognitive discernment is not yet mature, prolonged exposure to monotonous virtual faces or overly perfect features can blur the boundary between virtual images and real people, triggering problems such as cognitive dissonance and appearance anxiety.
The Measures stipulate that for micro-dramas generated and produced using artificial intelligence technology, production institutions and broadcasting units shall comply with relevant national regulations and add warning labels in prominent positions in each episode. This not only safeguards viewers' right to know, preventing AI-generated content from confusing and misleading audiences when lacking identification, but also provides regulatory guidance for AI content creation, maintaining transparency in the content ecosystem.
Optimizing algorithm distribution and correcting traffic-oriented tendencies. Currently, many micro-drama platforms use completion rates as a core recommendation metric, judging content value by the proportion of users who watch a series in full. Some content featuring conflict, confrontation, and sensational borderline material relies on highly stimulating plots to boost completion data and gain traffic support. AI micro-dramas are highly dependent on algorithmic distribution and dissemination. When traffic logic overwhelms value evaluation, it forces creators to cater to traffic preferences, chasing highly stimulating and high-conflict plot formulas, producing a "bad money drives out good money" phenomenon. The Measures stipulate that micro-drama broadcasting units shall regularly review, evaluate, and verify algorithm mechanisms, models, data, and application results, prioritize recommending high-quality micro-dramas, and must not use algorithm models that induce user addiction or excessive consumption. In response, platforms must break free from the mindset of purely chasing traffic, embed social benefits into algorithm design, add evaluation weights oriented toward content value, and make content quality the core basis for traffic allocation. At the same time, they should improve the collaborative "machine review plus human review" model, strengthening manual final review on the basis of algorithmic preliminary screening, using human aesthetic judgment and value standards to correct machines' pure preference for热度, implanting values into algorithms, and letting positive energy surge and grow.
At the current stage, AIGC technology has transformed the entire production chain of micro-dramas, from creative development, script assistance, and visual generation to translation and dubbing, greatly lowering the creative threshold and cost. A team that once required dozens of people can now be reduced to a "one-person crew," completing the entire process from script to finished film with just a computer and a few AI tools. An individual using AI tools can deliver a 120-minute drama in 5 to 7 days, with costs compressed from 300,000 to 500,000 yuan for traditional micro-dramas to 15,000 to 20,000 yuan. This has stimulated the innovative vitality of a large number of ordinary content creators. For example, some AI historical micro-dramas present history with delicate brushstrokes, and many viewers proactively look up relevant historical facts after "binge-watching," making a micro-drama a bridge connecting the public with traditional culture. But negative effects have also followed, with some vulgar spoofs and value-distorted low-quality content appearing frequently, such as AI-modified versions of classic TV dramas like Romance of the Three Kingdoms and Water Margin, distorted portrayals of historical figures and heroic models, and "cult-like" adaptations of animated characters.
In response to the "mud and sand mixed together" problem at the subject matter and content levels amid the explosive growth of AI micro-dramas, the Measures established a three-tier classification management system using investment amount and subject matter attributes as indicators. Works involving special subject matter or larger investment amounts are subject to "Category One" key scrutiny, while general subject matter is managed under Categories Two and Three based on investment scale. This approach both clarifies regulatory bottom lines and preserves institutional flexibility for industry innovation. In the long run, this institutional framework can effectively address the chaos of "barbaric growth" in AI micro-dramas, prompting technological dividends to truly transform into content dividends, further achieving the unity of social benefits and economic benefits, and promoting micro-dramas to transform from entertainment fast-moving consumer goods into a new vehicle for conveying positive values and telling China's story well.
The introduction of the Measures marks a new starting point for the micro-drama industry's development, moving from extensive traffic prosperity toward connotative value prosperity. When AI creation tools are no longer scarce, how to harness technology and achieve value breakthroughs has become the era's proposition for the AI micro-drama industry. Only by always upholding the creative bottom line of technology for good, prioritizing social benefits, and using humanistic cores to harness technological computing power can we guide the formation of an industry ecosystem that is upright and innovative, healthy and progressive, active and orderly, and fairly competitive, better enriching people's spiritual world and strengthening their spiritual power.
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