Is The AI Pitch for Dominance Taking a Diverging Approach?

The artificial intelligence industry's shift toward agentic AI—systems capable of autonomously executing multi-step tasks that are goal orientated—has become a central theme in technology discussions in recent months. While Western companies continue to prioritise foundational model development and cross-platform interoperability, China's technology leaders are advancing a different strategy centred on deep integration with commerce. This divergence highlights contrasting paths that could influence how enterprises worldwide adopt and deploy autonomous systems.

Alibaba, Tencent and ByteDance have moved quickly to enhance their AI platforms to support agent-driven commerce, evolving beyond conversational tools toward agents capable of managing entire transaction lifecycles—from discovery to payment.

Recently, Alibaba upgraded its Qwen chatbot to enable direct transaction completion within the interface, linking the AI agent across its broader ecosystem, including Taobao, Alipay, Amap and the travel platform Fliggy. The update supports more than 400 core digital tasks, allowing users to compare personalised recommendations and complete payments without leaving the chatbot environment.

"The agentic transformation of commercial services enables deeper service integration and strengthens user engagement," said Shaochen Wang, a research analyst at Counterpoint Research, speaking to CNBC. He noted that sustained engagement can translate into long-term competitive advantages.

The super app advantage

Earlier, ByteDance enhanced its Doubao AI chatbot in December, enabling it to autonomously manage tasks such as ticket bookings through integrations with Douyin, the Chinese version of TikTok. The upgraded model debuted on a ZTE-developed prototype smartphone as a system-level AI assistant, though some planned features were later scaled back following privacy and security concerns raised by competitors.

Tencent President Martin Lau suggested during the company's Q2 2025 earnings call that AI agents could become integral to the WeChat ecosystem, which serves more than one billion users across messaging, payments, e-commerce and other services.

This positioning reflects a broader structural advantage for Chinese firms in deploying agentic AI: tightly integrated digital ecosystems that reduce the fragmentation often encountered by Western counterparts.

"AI agents are likely to become foundational to the evolution of super apps, with success hinging on deep integration across payments, logistics and social engagement," Charlie Dai, vice president and principal analyst at Forrester, told CNBC. He added that companies such as Alibaba, Tencent and ByteDance benefit from integrated ecosystems, rich behavioural data and widespread consumer familiarity with super apps.

By contrast, Western companies often operate within more fragmented data environments and face stricter privacy regulations, which can slow cross-service integration, even as they lead in foundational AI models and global reach, Dai noted.

Agentic AI's enterprise trajectory

Developments in consumer commerce also point to broader enterprise implications as agentic AI evolves from supportive tools into autonomous actors capable of executing complex workflows. Industry observers expect multi-agent systems to emerge as a defining trend in AI deployment this year, extending from consumer-facing applications into organisational operations.

In a report cited by Global Times, Tian Feng, president of the Fast Think Institute and former dean of SenseTime's Intelligence Industry Research Institute, predicted that the first AI agent to surpass 300 million monthly active users could appear as early as 2026. Such an agent, he said, could become "an indispensable assistant for work and daily life," capable of executing composite, cross-app services autonomously.

A 2025 McKinsey study found that roughly half of all consumers already use AI when searching online. The consultancy estimated that AI agents could generate more than US$1 trillion in economic value for US businesses by 2030 by streamlining routine steps in consumer decision-making.

Chinese cloud providers, including smaller players such as JD Cloud and UCloud, have also begun supporting agentic AI tools. However, high token consumption has prompted some providers—such as ByteDance's Volcano Engine—to introduce fixed-subscription pricing models to help manage costs.

Divergent deployment strategies

The contrasting approaches taken by Chinese and Western companies reflect underlying differences in market structure and regulatory environments that are likely to shape competitive positioning over time.

"China is likely to prioritise domestic integration and selective regional expansion, while US firms focus on global scalability and governance," Dai said.

In the US, companies pursuing agentic commerce include OpenAI, Perplexity and Amazon, while Google is exploring a role as an intermediary connecting merchants, consumers and AI agents. These strategies reflect platform ecosystems where interoperability, rather than closed-loop integration, remains essential.

At the same time, the autonomous capabilities of agentic systems have prompted regulatory scrutiny in China. When announcing Doubao's expanded functions, ByteDance cautioned users about potential security and privacy risks, recommending deployment on dedicated devices rather than those containing sensitive information, given the agent's access to device data, digital accounts and internet connectivity across multiple ports.

Either way, the rapid commercialisation of agentic AI will provide users with a fascinating insight as to how the future of enterprise decision-making will be shaped globally, signalling how autonomous systems may reshape customer acquisition costs, platform economics and competitive advantages as these technologies progress.

(Source: AI News)