Is AI Video Generation Shifting From Model Showcases to Integrated Workflows?

From Model Showcases to Workflow Integration

Since OpenAI released Sora in February 2024, a wave of AI video generation models has appeared worldwide. As models improve in precision and length, competition is no longer centered on raw model performance but on how video generation adds value within real business workflows.

1. Are Stand‑alone Video Products Still Representative of AI Video Competition?

1. From Sora’s launch to the present, the accuracy and duration of generated videos have improved markedly. Vendors and users now view video generation as a foundational capability to be embedded in practical scenarios rather than an end goal.

2. Until 2025, AI video competition focused on model metrics such as text‑to‑video, image‑to‑video, generation length, consistency, and shot control. Representative products and models include Runway Gen‑2, Pika, Luma Dream Machine, OpenAI Sora, Google Veo, Keling, PixVerse, Vidu, HaiLuo Video, JiMeng, and others (see Pro member newsletter 2025 Week 13).

3. Starting in 2025, the industry began emphasizing whether video capabilities could be integrated into existing tools and processes, attempting to embed generation into editing, advertising, and operational systems.

4. In 2026, vendors shifted focus to whether models can ingest existing assets and fit into concrete pipelines, prompting adjustments in product planning and positioning.

5. Example: On 24 Mar 2026 OpenAI announced that the Videos API and models sora‑2 and sora‑2‑pro would be removed on 24 Sep, and that the Sora web/app would cease service on 26 Apr. This change directly reflects a realignment of entry points and interface design [2‑3][2‑4][2‑5].

6. During the 2025‑2026 period, platform‑type products such as CapCut, Adobe, and Google continuously integrated video capabilities into editing, ad‑marketing, and content‑creation tools, expanding the “platform capability” side [2‑1][2‑6][2‑7].

7. Consequently, the presence of an independent app or single‑generation performance is no longer the sole indicator of a vendor’s AI video strategy. The platforms into which video capability is embedded and the business processes it serves have become key evaluation dimensions.

• "Independent product" refers to stand‑alone video entry points for users or developers, such as the Sora web/app and Videos API [2‑3][2‑4][2‑5].

• "Platform capability" refers to video functions embedded within existing systems, such as editing platforms, advertising tools, and creation suites [2‑1][2‑6][2‑7].

2. Which Entry Points Are Driving Competition?

Recent actions by Adobe, Google, CapCut, Alibaba and other companies show that AI video is increasingly entering existing platforms and business processes rather than being pushed as stand‑alone products. Whether in content‑creation tools, ad‑delivery systems, or merchant marketing platforms, video capability is becoming a built‑in feature.

Table: Comparison of major domestic and international AI video generation vendors and their product/service entry points (see image below).

3. How Will Competitive Standards Evolve After Business Adoption?

When AI video is embedded in real business scenarios, the competitive focus shifts toward production efficiency, brand control, and compliance. The divergence between OpenAI’s approach and platform‑centric companies signals differing strategic paths for the future of AI video.