How AI agents are reshaping China’s office ecosystem

China’s AI office race is heating up as tech giants and software vendors push agents beyond chatbots toward execution of workplace tasks as ‘digital employees’

By CLS Marketwatch

The movement of AI technology beyond general-purpose conversation to in-depth specialized scenarios has gained momentum this year. Among the trend’s many focus areas, the workplace, characterized by high frequency usage and ability to perform essential tasks at affordable prices, has been a primary front for AI agent commercialization. A growing array of office-focused AI agentic products, each attracting tens of millions of monthly visits, has quickly emerged, attesting to genuine demand for AI-powered productivity-enhancing tools.

Who will own your digital desk?

China’s workplace-oriented AI assistant sector began undergoing a critical shift starting in the second quarter of this year. The previous model, where major internet enterprises pursued multiple product lines in parallel and tested different technological paths separately, is being replaced by a more consolidated tactic. Several dominant tech giants, including Tencent (0700.HK), ByteDance, Baidu (BIDU.US; 9888.HK), and Alibaba (BABA.US; 9988.HK), have integrated their AI agents, large language models (LLMs) and AI chatbot businesses with their office-focused AI assistant businesses. Meanwhile, office software provider Kingsoft Office (688111.SH) launched two workplace-oriented AI agents in mid-July, covering both individual and organizational use cases.

The flurry of business restructuring and product launches marks the entry of the office-focused AI agent industry into a phase of competing for users through the desktop as a primary gateway. There are currently four main types of market participants: big tech giants, leveraging their proprietary LLMs, cloud infrastructure and productivity suites to secure a foothold in the infrastructure of large corporations; traditional office software vendors, which are building on their existing user bases to embed AI agents into processing workflows for individuals and smaller firms; native LLM providers, who focus on delivering underlying frameworks; and specialized tool providers, which concentrate on specific point solutions, primarily catering to niche needs.

Vision vs reality

China’s office-focused AI agent market has already cultivated considerable users. As of June, aggregate monthly visits to 17 mainstream desktop-based AI-native office-oriented agent platforms in China exceeded 60 million. Among them, Tencent’s WorkBuddy recorded 20.97 million monthly visits, maintaining a commanding lead. This shows that user habits for AI-powered office tools are gaining rapid adoption and frontrunners are beginning to emerge, as the market continues to grow.

In terms of demand, the consumer and business markets are showing distinct differences. Consumer users tend to have shorter decision-making processes and fewer concerns about system integration and related issues. With the growing penetration of AI, an increasing number of individual users are experimenting with AI-backed office solutions through easy-to-adopt scenarios such as PowerPoint creation, drafting meeting minutes, and document processing, and have already demonstrated a clear willingness to pay. By comparison, business clients usually have longer decision-making cycles due to concerns over data security, efficiency improvement and iteration and other factors. Yet once the business market takes off, it promises to become a long-term, stable, and sustainable revenue source.

But multiple bottlenecks are still constraining AI-powered office work. One is a lack of reliability in executing complex tasks. While current AI agents excel at text generation, they struggle to perform in-depth operations across different business software products and varying corporate workflows. At the same time, widespread data silos within individual enterprises and token consumption costs are difficult to manage, creating considerable cost pressures and implicit data leakage risks. Collectively, these issues make businesses reluctant to more actively integrate AI-backed office solutions into their daily operations.

Growing wave

In the upstream computing power supply chain, a demand-pull effect for workplace AI has already begun to materialize. Kingsoft Office has said its profit rose 210% to 264% in the first half of 2026, citing the positive contribution of AI office market demand to its performance; Kingdee International Software (0268.HK) said it returned to profitability in the first half of the year, benefiting from efficiency gains driven by AI; and Yonyou Network Technology (600588.SH) reported that AI-related contract signings reached 910 million yuan ($135 million) in the first half of the year, reflecting high-speed year-over-year growth.

Furthermore, the proliferation of workplace-focused AI assistants will drive a sustained increase in inference workloads. Unlike the widely discussed computing power consumption associated with LLM training, AI-supported workflows primarily involve high-frequency, small- to medium-scale inference, which is unlikely to generate the explosive surge in demand for computing power seen during the training phase but rather will exhibit a steady rise in demand. These different demand structures are giving rise to multiple changes across the industrial chain and pushing business models toward greater diversification.

Looking ahead over the next three to five years, the ability of intelligent agents to complete tasks – that is, achieve closed-loop execution across multiple software systems rather than merely generating text content – will determine whether AI-powered office solutions can evolve from auxiliary tools into digital employees. The maturity of device-cloud synergy technologies and sustainability of business models, including whether on-device computing power can effectively offload cloud-side pressure, whether token costs can be effectively managed, and whether customization costs can keep decreasing, will collectively determine whether the industry can successfully realize its commercial transformation.

The rapid rise of office-focused AI agents mirrors how large-model technology is migrating from general-purpose capabilities to specialized scenarios. Yet despite high expectations for office applications, a bustling competitive landscape does not equate to a mature commercial ecosystem. Fundamental issues such as operational reliability, data security, and cost structures reveal that for these agents to truly assume a core role in productivity, they still need to bridge multiple gaps between technical delivery and commercial viability. That said, there’s no denying that AI-supported office agents have, from their early inception, already demonstrated immense economic and productive potential.

CLS Marketwatch provides insights and analysis on China’s industries. You can contact the author at liujingyi@cls.cn

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