---
title: "Tencent Cloud’s Li Xiang: One-Stop AI-Native Apps on the Cloud"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-11-05T16:00:00+08:00"
canonical: "https://ffcap.cn/en/research/20241105a0612m00"
source: "https://ffcap.cn/en/research/20241105a0612m00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20241105A0612M00"
---

# Tencent Cloud’s Li Xiang: One-Stop AI-Native Apps on the Cloud

_Unique Research · Interview / Talk · November 5, 2024_

At Unique Capital’s AIGC Application Summit & AIGC100 (Beijing, Oct 17, 2024), Tencent Cloud enterprise industry architecture director **Li Xiang** presented “Cloud Intelligence: Building AI-Native Applications One-Stop.” Edited highlights:

## What is an AI-native app?

AI at the core of develop / operate / serve — not bolted onto legacy. Four traits: autonomy, adaptability, data-driven decisions, predictive power. On Gartner’s AI maturity model, AI-native sits at stage 4 (systematic implementation) of five.

**Trends (IDC):** China GenAI market CAGR ~55.1% 2023–2027; GenAI software CAGR ~58.2%. 2023 = foundation-model year; 2024 = AI-native app year. Marketing & office lead (Tencent Ads precision; Meeting/Docs + Hunyuan). Agents with memory/reason/plan/act become primary landing form. Multimodal (GPT-4o, Sora-class) opens new product shapes.

## Architecture & challenges

AI-native is a Tencent Cloud strategic direction alongside cloud-native — same tech line across public/private/distributed cloud. Typical stack: data processing, storage, quality evaluation, business systems. Pain points: model selection (cost-effective); model engineering (fine-tune, versioning, release); GPU cost; content compliance; document prep for training; efficient vector retrieval.

## Tencent Cloud toolkit (talk highlights)

End-to-end path from model choice through engineering, knowledge/RAG, agents, and industry scenes. Internal **AI coding assistant**: ~50% daily coverage, ~40% less coding time, ~20% R&D efficiency lift. Real-time voice agents: RTC stack >3B uplink minutes/day in APAC enables natural LLM dialogue. (Full slide stack in CN images — attach on ingest.)

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20241105a0612m00
On-site reading page: https://ffcap.cn/en/research/20241105a0612m00