• Google AI Studio: Browser-based IDE with built-in Veo 2 and Imagen 3 models, support for visual parameter tuning and code generation. Provides 1500 free calls per day, suitable for rapid prototyping. Users can select "cinematic" style templates through a drag-and-drop interface to generate full videos with BGM and subtitles in one click.
• Direct API calls: requests are sent through a RESTful interface, supporting major languages such as JavaScript and Python. For example, the code to call Veo 2 to generate a video using Node.js is as follows:

• const axios = require('axios');
  const auth = Buffer.from(`${API_KEY}:${API_SECRET}`).toString('base64');
  
  axios.post('https://videogen.googleapis.com/v1beta1/generate', {
    prompt: {
      text: 'Sloths in the rainforest moving slowly', {
      camera: {
        lens: '18mm', motion: 'tracking shot', {
        motion: 'tracking shot'
      }
    },
    resolution: '4K', duration: 12
    resolution: '4K', duration: 12
  }, {
    headers: {
      Authorization: `Basic ${auth}`
    }
  }).

• Enterprise solutions: With the Google Cloud Vertex AI platform, enterprises can customize the deployment of Veo 2 to meet large-scale needs in scenarios such as film and television production and virtual training. For example, Kraft Heinz uses Veo 2 for commercial production, shortening the original 8-week cycle to 8 hours and reducing the cost of a single video from $200,000 to $500 USD.

III. Industry impact: from technological competition to ecological reconstruction

1. Technology crushing and market reshaping

• Performance Comparison: Compared to OpenAI's Sora Turbo, Veo 2 has an overall preference lead of 42% and a cue match lead of 35% in Meta's MovieGenBench test. its 4K resolution and 2+ minute generation time (compared to Sora Turbo's 1080p/20 sec.) further solidify the technology advantage.
• Market Share: After launching in February 2025, Veo 2 quickly captured 40% of market share, replacing Runway as the industry leader. Chinese models such as "Keling v1.5" follow with 15%.
• Industry standard: Google's open ecosystem, built through the Gemini API, is defining the industry standard for next-generation AI video. Its hybrid model of "pay-as-you-go + subscription" has been emulated by companies such as Aishi Technology and BioCount.

2. Competition for talent and technology integration

• Core Talent Movement: Tim Brooks, formerly of OpenAI Sora, jumped to Google in October 2024 to lead the multimodal integration of Veo 2 with Gemini. He led the team to breakthroughs in physics simulation and interactivity, enabling Veo 2 to take a quantum leap forward in material transformation and camera control.
• Technical synergy: Veo 2 is deeply linked with Imagen 3 and Gemini to form a "text-image-video" full-link generation capability. For example, users can first generate a concept map with Imagen 3, then turn it into a dynamic video with Veo 2, and finally add a natural language description with Gemini.

3. Business model innovation and industrial transformation

• Reducing Costs and Increasing Efficiency: AI video generation costs $99% less than traditional productions.Top animated movies cost about $2 million per minute, while Veo 2 generates content for only $300. This makes professional-grade video production affordable for SMBs and even individual creators.
• Application Scenario Expansion:
  • Movie and TV production: The director can quickly generate a split-scene script from text and preview different shot scenarios in real time. For example, type in "opening scene of a suspense movie, low angle elevation shot of the protagonist pushing the door", and Veo 2 can automatically generate a dynamic split-scene that includes changes in light and shadow and details of the environment.
  • EdTech: Teachers can turn static teaching images into dynamic demonstration videos. For example, if you upload a diagram of cell structure, Veo 2 can generate 3D animation to show the process of cell division.
  • E-commerce marketing: Brands can generate videos of product usage scenarios without the need for physical filming. For example, type in "white sneakers jogging on the beach" and Veo 2 will automatically generate a dynamic display that includes physical collision effects.
• Industry Trend: The global AI video generation market size is expected to grow from $610 million in 2024 to $2.56 billion in 2032, at a CAGR of 19.5%. The dual drive of technology iteration and industry demand is reshaping the value chain of content production, collaboration and distribution.

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