造富大戏开演 就说创作者KK，每天上午10点准时打开三款AI视频软件，靠这些工具接广告单，半年就赚了数十万 元，比之前在广告公司上班挣得多多了。 KK这还不是个例，成千上万的创作者都靠AI视频赚得盆满钵满。而企业这边更夸张，头部AI视频公司 的年收入，从去年几乎可以忽略不计，直接飙升到亿元级别，最高的都快摸到10亿大关了。 哈喽大家好，今天小无带大家聊聊2025年最疯的造富风口——AI视频。 普通人靠它半年赚数十万，企业年入直奔10亿，资本挤破头要入局，这波全民狂欢的背后，藏着你不知 道的爆发逻辑和行业密码。 热闹背后有坑 快手可灵、字节跳动即梦这些产品都搞起了会员制，月费从59元到1399元不等，比起还在找方向的大语 言模型赛道，AI视频早就把赚钱的路子走通了。 资本闻着钱味就来了，2025年下半年堪称AI视频企业的融资盛宴。爱诗科技、生数科技这些公司接连 官宣融资，金额从几亿元到上亿美元不等，海外的Runway和LumaAI也在筹备数十亿级别的融资。 AI视频能这么火，可不是凭空掉下来的，核心是技术终于给力了，还赶上了流量爆发的东风。 KK对2024年做AI视频的经历记得特别清楚，那年9月做一支视频要两天 ...

Core Insights - AI video generation technology is rapidly advancing, allowing for the production of high-quality short films at a fraction of the traditional cost, with some projects costing as little as 330.6 RMB [1][5][8] - Major tech companies and startups are competing in the AI video generation space, with various models being developed to enhance content creation efficiency and quality [7][8] Industry Developments - The AI-generated short film "Return" was created by renowned visual effects supervisor Yao Qi, showcasing the capabilities of AI tools in producing cinematic quality content with minimal resources [3][5] - The "Steam Engine" model from Baidu has achieved significant upgrades, enabling integrated audio and video generation, which is a first in the industry [5][8] - The market is witnessing a surge in AI-generated content, with platforms like Douyin reporting high viewership and revenue from AI-generated series [7][8] Financial Performance - Companies like Shengshu Technology reported annual recurring revenue exceeding 20 million USD (approximately 140 million RMB) within eight months of launching their video model [7] - Kuaishou's revenue from its AI tool exceeded 250 million RMB in Q2, a significant increase from 150 million RMB in Q1 [7] Market Trends - The use of AI-generated content is reshaping the industry landscape, with a reported 393.9% year-on-year increase in usage time for AI-generated content [8] - Baidu views its AI video generation model as a key driver for enhancing overall ecosystem engagement, with a notable increase in AI-generated content in search results [8] Technical Challenges - Despite rapid advancements, AI video generation still faces technical limitations, particularly in producing longer videos and achieving real-time generation [10][11] - Current models primarily generate short clips, and significant breakthroughs in technology are required to support industrial-scale production of longer content [11]