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AI Short-Drama Market Analysis Today: From a Technology Dividend to Industrialisation

2026-10-04 · Tian Tang Meng Xi Enterprise Service · AI & Emerging Industries

"There are more people teaching courses than people actually making money from content" — that in itself is a sign that an industry has entered the "selling shovels" stage and that capacity is tending towards oversupply. The AI short-drama and AI comic-drama industry is currently in transition from a technology dividend phase to industrialised competition.

1. What the Course-Selling Boom Tells Us

In commercial terms, a concentrated emergence of teaching and tool products usually means the barriers and risks of producing content directly are rising:

1. Lower technical barriers. As domestic and international video generation models iterate on character consistency, lip-sync matching and motion performance, work that once took specialists weeks can now be completed in a relatively short time using off-the-shelf workflows. The technology itself is no longer a core barrier.

2. Rapid growth in supply and a falling hit rate. The number of AI short dramas and comic dramas going live has multiplied, bringing pronounced homogenisation and making it harder to make the return on investment work; some teams have therefore turned to monetising through training.

3. Training courses sell an "information gap". Most courses market themselves on "fast output" and "high earnings for one person", while what they actually deliver is workflow operation and explanations of platform rules; the harder parts — a script's feel for the audience, media buying costs and copyright compliance — are often downplayed.

2. The Stage the Industry Is At

1. Overcapacity and a faster clearing out of low-quality content. Audiences have grown tired of low-quality AI content, and platforms are stepping up efforts to remove poor material, so the elimination rate among low-level production teams is rising markedly.

2. A division of labour has emerged: live action holds the traffic, AI carries the capacity. Live-action short dramas still account for the top hits and most of the revenue, while AI short dramas (comic drama, cultivation, science fiction and so on) follow a route of "low cost, high capacity and niche segmentation", forming a separate track in genres that traditional live action struggles to cover.

3. Entering a stage of industrialised assembly and script competition. Once production costs and lead times are sharply compressed, picture quality and production capability tend to level out, and competition shifts to script quality, industrialised production capacity, and compliance issues such as material sourcing, music and image rights.

3. Three Suggestions for Practitioners

• Be cautious about expensive entry-level courses. Official tutorials and free material for mainstream generation tools are already fairly extensive, and the tools iterate quickly; it is more practical to put budget first into content and media buying capability.
• Recognise the real barriers. The current barriers lie in controlling the pacing of a short drama (retention and emotional design), screenwriting ability and an understanding of media buying mechanics. AI only lowers production cost; it does not answer "why the audience pays".
• The opportunities lie in high-end applications and going overseas. Competition in low-end genres is already intense, whereas there is still considerable room in exporting multilingual localised micro-dramas, and in using AI to replace costly traditional visual effects (science fiction, fight sequences and so on) in support of live-action drama.

For teams considering Mauritius as their overseas base, multilingual content localisation and the establishment of a compliant entity are precisely the areas where local conditions can provide support.

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