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Hongguo Short Drama Denies Rumor of Dropping AI Virtual Human Script Guarantee, Says Some Scripts Still Retain Guarantee

Hongguo Short Drama Denies Rumor of Dropping AI Virtual Human Script Guarantee, Says Some Scripts Still Retain Guarantee

June 10, 2026
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Hongguo Short Drama Denies Rumor of Dropping AI Virtual Human Script Guarantee, Says Some Scripts Still Retain Guarantee

In response to rumors that "Hongguo Short Drama has scrapped base pay for AI virtual human scripts and moved entirely to a revenue-sharing model," a company representative recently denied the claim, stressing that base compensation policies remain in place for certain scripts.

Earlier, market reports indicated that a Hongguo Short Drama representative posted a notice in a screenwriters' group stating that under the latest policy effective April 27, newly accepted scripts would offer only pure revenue sharing at a 20% rate. However, scripts meeting post-validation popularity incentive thresholds could still qualify for individual bonuses, and script tiers could be upgraded as quality improves. This announcement caused an uproar among screenwriters, with some jokingly calling it a "zero-cost acquisition," and reports suggested that only a handful of top screenwriters still had their base income unchanged.

The ongoing debate over base pay highlights the sharp conflicts of interest and shifting mechanisms among platforms, screenwriters, and content production ecosystems as generative AI and AI virtual human technologies enter the online literature and short drama industries. As a fresh engine for content export and local consumption, AI-driven short dramas have slashed production costs and turnaround times, yet they also pose new hurdles for traditional script valuation and content oversight.

Hongguo Short Drama's denial of the rumors has somewhat eased concerns among the creator community. Yet the platform's adoption of post-validation popularity incentives and dynamic level adjustments signals that the industry is moving toward a more data-driven, performance-focused approach. Striking a balance between efficiency, technology, and creators' fundamental interests will be essential for building a sustainable AI content platform ecosystem in the future.

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