The AI video generation industry, initially driven by technological capabilities, is now increasingly focused on profitability, challenging the dominance of OpenAI´s Sora. Since its launch in 2024, Sora has faced pressure from competitors achieving equal or superior quality and efficiency in video output. New entrants like HailuoAI and Kling are gaining traction, often surpassing Sora in user traffic.
Recent analysis, including the a16z Top 100 AI Applications list, indicates that while tools like Sora have popular appeal, other tools focused on image and video editing are bringing in more revenue. Companies are adopting various monetization models, from subscriptions to enterprise customization, and some have adjusted pricing to attract more users. Despite OpenAI´s efforts to boost Sora´s appeal by removing credit limits, many users prefer alternatives like Google´s Veo 2 and Alibaba´s Wan2.1.
The landscape of AI video generation continues to evolve rapidly, with models like Meta´s Emu and Kuaishou´s Kling accumulating features such as style customization and character consistency crucial for industries like advertising and film. Research efforts focus on reducing costs and enhancing model efficiency, as seen in initiatives by companies like Tencent. Advanced techniques are being developed to improve the precision and realism of generated content, highlighting the fierce competition and innovation driving the sector as companies aim for commercial viability.
