Tag: AI video

  • China’s AI Film Industry Surges on Government Subsidies and Computing Power

    China’s AI Film Industry Surges on Government Subsidies and Computing Power

    China is making a significant push to dominate the AI-powered film and short-video industry, leveraging a powerful combination of government subsidies, cheap rent, and direct computing support. Cities like Shenzhen, Shanghai, and Beijing are at the forefront, offering incentives ranging from subsidized office space to cloud-based AI models and computing vouchers. This strategy is part of a wider national effort to build domestic AI industries through local technology clusters and government-backed financial assistance.

    Filmmakers Benefit from Government Incentives

    AI filmmaker Zhu Zhili, who chose Shenzhen two years ago for its technology ecosystem, says officials from cities across China regularly approach him about relocating his business. He operates his studio from a shared workspace supported by the Shenzhen government and Hong Kong Polytechnic University. The incentives, he notes, include “cheap rent, living allowance and computing support,” which are crucial for lowering the barrier to entry for AI-generated content production.

    Production Costs Plummet

    The financial impact is stark. According to China’s state broadcaster CCTV, the cost of producing AI short dramas dropped from around 5,000 yuan (USD 747) per minute to just a few hundred yuan during the first half of 2026. In another striking example, postgraduate film-directing student Pan Xiaojun in Hainan found that producing a conventional wedding scene cost about 60,000 yuan using traditional methods, but only 1,400 yuan using AI. This sharp reduction is giving independent filmmakers and smaller studios unprecedented room to experiment.

    New Concerns Emerge

    However, this rapid expansion is not without its challenges. The surge in AI-generated film and video is raising concerns over an oversupply of content, unresolved copyright issues, and the unauthorized use of actors’ likenesses. Questions are also emerging about long-term audience engagement with AI-generated films as the volume of such content continues to increase.

    China’s comprehensive approach—combining financial incentives, technology access, and local industrial support—is creating a powerful AI-focused film ecosystem. For filmmakers, cheaper production and government-backed infrastructure offer immense opportunities, even as the industry grapples with unresolved questions about ownership, rights, and sustainable audience demand.

  • Master AI Video Creation: A Complete Step-by-Step Guide

    Master AI Video Creation: A Complete Step-by-Step Guide

    Key Takeaways

    • A clear script and short scene plan give AI video creation better structure and control.
    • Tools such as Veo, Kling, and Runway offer different options for visual quality and creative control.
    • Human editing and final checks remain essential for strong visuals, sound, continuity, and captions.

    Artificial intelligence video tools can turn a short script into cinematic scenes, product clips, social media videos, tutorials, and short films. The process now goes far beyond a single text prompt. A strong result starts with a clear idea, moves through a shot plan, uses suitable AI models, and ends with careful editing, sound, captions, and quality checks. The AI video market has also changed fast, with Google Veo, Kling, Runway, and other platforms taking major roles in modern video production.

    Start with a Clear Video Idea

    Every AI video needs a clear purpose before the first prompt. A YouTube video may need a wider frame and longer story, while a TikTok, Instagram Reel, or YouTube Short usually needs a vertical 9:16 frame. A product advert may need sharp product detail, while a short film may need stronger character and scene control.

    A simple plan should define the subject, audience, length, visual style, voice style, and final platform. A 60-second video, for example, can have a five-second hook, a main section, a short payoff, and a final call to action. A clear plan also reduces wasted AI credits.

    Turn the Script into Short Scenes

    A complete video should not depend on one large prompt. A better method splits the script into short scenes. Each scene can have a clear subject, action, location, camera view, light style, and mood.

    For example, a video about AI video tools could open with a creator at a desk, move to an AI video interface, show a cinematic generated scene, and then return to the creator. Short clips give better control and make weak shots easier to replace.

    Character consistency also matters. A reference image can establish the same face, clothes, location, product, or visual style across several scenes. Current AI video workflows place more focus on reference control and shot consistency than older text-to-video methods.

    Pick the Right AI Video Tool

    Google Veo 3.1, Kling 3.0, and Runway now sit among the main choices for AI video work. Each platform suits different production needs. Veo 3.1 stands out for high visual quality and native audio. Kling 3.0 supports multi-shot story work and synced audio. Runway offers strong creative control and a broad production workflow. These strengths can change as new model versions arrive, so model names and versions need a date check before publication.

    Sora no longer serves as a current general option. OpenAI ended the Sora web and app experience on April 26, 2026. The Sora API also has a scheduled shutdown date of September 24, 2026.

    Write Better Video Prompts

    A useful prompt should describe the subject, action, setting, camera, light, movement, and visual style. A prompt such as ‘a person at a computer’ gives limited control. A stronger version can describe a filmmaker at a modern desk, a cinematic studio, warm practical lights, shallow depth of field, a slow camera push, realistic skin texture, and natural movement.

    Specific details help an AI model understand the intended shot. Camera direction also matters. Terms such as close-up, wide shot, tracking shot, slow push, overhead view, and shallow depth of field can shape the result.

    Add Voice, Music, and Sound

    A strong video needs more than attractive visuals. Voiceover can explain the subject, while music can set the mood. Sound effects can add realism to footsteps, machines, doors, vehicles, weather, and other actions.

    Current AI video systems increasingly support audio as part of video production. Adobe also added tools that can create video, sound effects, music, and soundscapes inside Premiere. Premiere can use Adobe Firefly as well as partner models such as Google Veo, Kling, Runway, and Luma.

    Edit the Final Video with Care

    AI output still needs human judgment. The best clips should form a clear sequence with a natural pace. Voiceover should match the correct scene, music should remain below speech, and sound effects should fit the action.

    Adobe Premiere now lets editors generate video and sound directly inside the timeline. The Generative Media Tool can use reference frames from nearby footage, which helps a new clip match the existing edit.

    Check Every Scene Before Publication

    A final review should catch distorted hands, odd faces, changing clothes, shifting objects, poor lip sync, strange physics, incorrect text, and sudden changes in location. Logos and important text deserve extra care, since AI models may still produce errors in small written details.

    Captions also need a manual check. Clear captions improve access and help short-form videos work without sound. The final export should match the target platform, with 16:9 for standard YouTube video and 9:16 for most vertical short-form content.

    AI video now works best as a complete production process rather than a single prompt. The strongest results come from a clear script, short scene plans, suitable AI models, controlled references, good sound, careful edits, and a final human review. The technology can supply the raw material, but strong creative direction still shapes the finished video.

    Frequently Asked Questions

    1. What is an AI video? An AI video uses artificial intelligence tools to create or modify video content from text prompts, images, scripts, or other references.
    2. How does AI create a video? AI can turn a written prompt or reference image into short video scenes, which can later form part of a complete edited video.
    3. Which AI tools can create videos? Google Veo, Kling, and Runway are among the major AI video tools available for different creative needs.
    4. Can AI create the whole video? AI can create many parts of a video, but editing, sound, captions, continuity checks, and quality control still need careful attention.
    5. What makes an AI video look better? A clear script, detailed prompts, consistent references, suitable scene plans, good sound, careful editing, and a final quality check can improve the result.
  • Alibaba, Tencent, and Baidu Pour $2.8 Billion into Kling AI, Boosting AI Video Unit to $15 Billion Valuation

    Alibaba, Tencent, and Baidu Pour $2.8 Billion into Kling AI, Boosting AI Video Unit to $15 Billion Valuation

    Kuaishou Technology has secured a massive $2.8 billion funding round for its artificial intelligence video unit, Kling AI, with backing from China’s biggest tech names, including Alibaba, Tencent, and Baidu. The investment values Kling AI at $15 billion before the new capital infusion, highlighting the growing appetite for AI video technology in China.

    Major Investors Join the Round

    Kuaishou announced that the investor group includes Alibaba, Tencent, Baidu, and other prominent Chinese financial and technology firms. The deal also allows one additional investor to join within two months, with total fundraising capped at 20.45 billion yuan (approximately $2.8 billion). Following the investment, Kuaishou’s stake in Kling AI will drop to about 68% from full control.

    This funding comes as competition in AI video generation intensifies globally. Kling AI creates videos from text prompts and images, competing with tools from OpenAI, Google, and other AI firms. The service has become one of China’s most-watched AI video platforms, leveraging Kuaishou’s massive short-video app user base.

    Revenue Growth Accelerates

    Kling AI reported 650 million yuan in revenue for the March quarter, more than four times the figure from the same period last year. The annualized run rate reached about $500 million in March, up from roughly $300 million in January, according to reports cited by the company. This strong revenue growth has fueled investor interest and helped justify the high valuation.

    The post-money valuation of Kling AI now stands near $18 billion, making it one of the largest recent AI fundraises in China. The Chinese AI sector has been attracting significant capital; technology companies raised $3.1 billion from stock market listings from January to mid-June, more than five times the level seen in the same period last year.

    Market Reaction and Future Outlook

    Kuaishou shares rose as much as 6.9% on Friday after the fundraising details emerged, though gains later faded. Analysts at Citi described the investor list as “impressive” and noted that market attention will now shift to Kling AI’s next product upgrade.

    Kling AI benefits from its connection to Kuaishou’s video platform, which aids user reach, product testing, and content use cases within China. However, the AI video market faces high compute costs, as these systems require substantial processing power. Kling AI’s next phase will depend on user demand, product upgrades, and its ability to manage the cost of generating video at scale.

    While Kuaishou has not confirmed a firm timetable for a potential listing of Kling AI, recent reports suggest the company could start a Hong Kong listing process within twelve months, with future funding aimed at computing power and data center needs.