---
title: "From Creative Spark to Revenue: AIGC’s New Commercialization Angle"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2023-08-23T18:00:00+08:00"
canonical: "https://ffcap.cn/en/research/20230823a08t3700"
source: "https://ffcap.cn/en/research/20230823a08t3700"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20230823A08T3700"
---

# From Creative Spark to Revenue: AIGC’s New Commercialization Angle

_Unique Research · Insight · August 23, 2023 · Market size, HCI paradigm, content revolution, commercialization & marketing cases_

H1 2023: genAI (AIGC) advanced fast in text/image (GPT-class). Chinese internet giants launched ChatGPT-like models. Long-term challenges remain (data, compute, talent), but the shift from ML → intelligent creation and from UGC → AI-generated content is a deep productivity reform. Two vectors: lower cost / higher efficiency; raise paid-experience ceiling.

## Market still expanding; giants embedding

Penetration still low—Gartner: AIGC-generated data ~10% by 2025; QbitAI: AIGC market >¥1T by 2030. Domestic Baidu/Tencent/Alibaba/Huawei/SenseTime and Google/Meta/Microsoft all shipping; OpenAI GPT-4/ChatGPT most viral.

## Apps accelerating; multimodal evolving

AI apps: perception / decision / analytics / generative—AIGC is the focus. Stages: 1950s–60s exploration (music/dialogue; cost/commercial limits) → 1990s–2010s weak autonomy (templates) → 2010s–now deep learning (GAN, LMs) for high-quality fast generation. NLG path: keyword CS bots → DSSM-style similarity → 2018 GPT pretrain era → interactive high-quality text.

## HCI: AIGC’s new paradigm

LLMs beat rule engines/decision trees: not only recognize/predict but converse and create contextual content. Today mostly text; tomorrow voice + multimodal. AI-centered control hubs will redesign apps/command logic—smart home, industrial automation, logistics, smart cities as compute cheapens and models lighten. ChatGPT plugins preview the paradigm: smarter, more efficient, more natural HCI.

## Content creation revolution

Prompt → bulk drafts; humans evaluate/tweak → lower cost/barrier and new ideas; cheap image/video cut communication cost. AI + LLMs expand creator skill surface and supply inspiration/materials.

**Vertical efficiency:** art (CV/layer segmentation assist); modeling/mocap (auto-similar 3D + textures); VO (efficiency/cost/emotion range); coding (predict/assist); text/data extract (literature extract still limited but broad upside).

## Commercialization & marketing

AIGC renews commercial imagination—new product forms, service layers, and marketing loops from creative generation through conversion measurement. Marketing cases in the CN original (charts/brands) should be attached on ingest; core thesis: creative spark → measurable revenue via AI-native content ops.

_7 CN images; attach on ingest._

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20230823a08t3700
On-site reading page: https://ffcap.cn/en/research/20230823a08t3700