Kling as Visual Layer in Commerce

This points to distribution as Kling AI’s real moat. Instead of waiting for creators to discover a new app, Kuaishou can sell video generation into merchants and advertisers that already buy traffic, run storefronts, and produce campaign assets on its platform. That makes Kling easier to adopt for practical jobs like making product clips, localized ad variants, and live commerce visuals, where speed and conversion matter more than novelty.1 2 3 4 5

• Kuaishou already has the buyer base in house. In 2025 and 2026 filings, it described growing online marketing and e-commerce businesses, stronger brand merchant contribution, and tighter links between merchant services, traffic, transaction, and marketing conversion. Kling can plug into those budgets instead of creating a new demand pool from scratch.2 3 4 5
• The workflow is increasingly commercial, not consumer. Kuaishou has positioned Kling for advertising, e-commerce, film, gaming, and product asset creation, while also rolling out adjacent AI tools for script generation, marketing materials, customer service, and digital humans. That means the natural buyer is a marketing team or seller already operating inside Kuaishou’s commerce stack.1 2 4 6
• A useful comparison is Higgsfield. It won marketers by packaging models into ad making workflows and later adding an API for high volume production across e-commerce and ad tech. Kling appears to be pursuing the same marketer centric wedge, but with a built in distribution channel from Kuaishou’s merchant and advertiser network rather than starting cold.7 8 9

The next step is for Kling to move from a creation tool to default infrastructure inside campaign setup, storefront operations, and agency workflows. If Kuaishou keeps bundling generation with ad buying, merchant services, and measurement, Kling can become the operating layer for commercial creative across its ecosystem, with higher ARPU coming from teams, agencies, and API volume.3 4 8 9