AIGC Is More Than Just ChatGPT: How to 10× Enterprise Content Productivity
AIGC isn’t only about ChatGPT‑style chat – it’s a revolution in enterprise content productivity. We help companies build AI‑based image‑and‑text generation platforms, develop short‑video and digital‑human livestreaming systems, and embed AI capabilities such as text‑to‑image, text‑to‑video, and speech‑to‑text into marketing, training, customer service, and other business systems. In 2024 the global AIGC market was valued at about US$19.5 billion with a 70.6% CAGR; enterprise content production is shifting from “labour‑intensive” to “AI‑driven.”
> According to the CNNIC “Generative Artificial Intelligence Application Development Report (2025),” China’s AIGC user base has reached 515 million, with a penetration rate of 36.5%, up 18.8 percentage points from 2024. AIGC has moved from technology experimentation into large‑scale application.
Core Capabilities of AIGC Multimodal
Implementation Scenarios Across Five Major Industries
E‑commerce Marketing: AI Batch Generation of Product Images, Marketing Posters, and Product Descriptions
E‑commerce companies need to produce hundreds to thousands of product images and marketing assets each month. An AI image‑and‑text generation platform can reduce the production cost of a single product image from 500–2000 RMB to 5–20 RMB, while boosting monthly content output by more than 10 times. AI‑generated product descriptions improve copywriting efficiency by 20 times.
Brand Communication: AI Generates Social Media Content, Short‑Video Scripts, and Brand Visual Assets
Brand teams use AI to batch‑generate social media assets that align with brand identity, shortening the process from planning to image output from 3 days to 30 minutes. Short‑video scripts are auto‑generated by AI based on trending topics, increasing content production efficiency by 5–10 times.
Training & Education: AI Generates Courseware, Training Videos, and Digital‑Human Instructors
Traditional corporate training content – from PPT creation to video recording – takes 1–2 weeks. AI‑generated courseware combined with digital‑human instructor recording can compress the cycle to 1–2 days. Training content can be updated at any time, free from instructor scheduling constraints.
Customer Service Center: Digital‑Human Agents Online 24/7 with Smooth Voice Interaction
Digital‑human agents partially replace human agents for standardized inquiries, support multi‑language interactions, and bring customer wait time close to zero. Labour costs drop by over 60%, while service coverage expands from 12 hours to 24 hours a day.
Content Operations: AI‑Assisted Creation + Human Review for 10× Content Output Efficiency
Content teams adopt an AI first‑draft + human refinement model, cutting the creation time of a single piece from 4 hours to 30 minutes and increasing monthly output by 10 times. Brand‑sensitive content undergoes final review by designers to guarantee quality.
Growth Drivers of the AIGC Market
> IDC data shows that China’s AIGC market reached approximately 43.6 billion RMB in 2024 and is expected to hit 276.74 billion RMB by 2028. The global AIGC market expanded from about US$2.3 billion in 2020 to about US$19.5 billion in 2024, a CAGR of 70.6%. The maturation of multimodal generation models (e.g., Sora, Midjourney V6) is propelling AIGC from text generation toward full‑modal content creation.
FAQ
How much lower is the cost of AIGC multimodal content generation compared to manual work?
According to industry data, the cost of AI‑generated marketing images and copy is only 1/10 to 1/20 of manual work, with a single product image dropping from 500–2000 RMB paid to an agency to 5–20 RMB when generated by AI. The global AIGC market was worth approximately US$19.5 billion in 2024, growing at a CAGR of 70.6% (IDC data). The key driver is precisely this dramatic reduction in enterprise content production costs.
Can AI‑generated content maintain brand visual consistency?
Yes. Through our Brand Style Transfer technology, we inject brand identity during AI generation – specifying colour schemes, font styles, composition rules, and visual elements. Generated content is validated against brand guidelines before output, ensuring it matches human‑designed styles. We also set up a manual review workflow, with designers giving final approval to brand‑sensitive content.
Is there a big gap between digital‑human and live‑human livestreaming?
Digital‑human livestreaming performs close to human streams in standardized scenarios (product introductions, FAQ responses, event announcements) and offers the advantages of 24/7 operation, multi‑language switching, and zero labour costs. CNNIC data shows China’s AIGC user base reached 515 million in 2024, and digital‑human livestreaming is already widely deployed in e‑commerce, education, and finance.