Tencent Expands Agentic AI Globally Through Experience And Engineering
Tencent is connecting AI models with everyday work environments and expanding its technology globally, according to Forrester. This shift matters as AI adoption becomes more widespread and enterprises seek to integrate AI into their operations.
Original reporting · forrester.com
Original: “Scaling Agentic AI Globally: Tencent Connects Experience, Engineering, And Ecosystem”
Read “Scaling Agentic AI Globally: Tencent Connects Experience, Engineering, And Ecosystem” at Forrester →
How this was written. ABM Fuel wrote this article with a language model from Forrester’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from Forrester’s report
- Tencent is expanding its Agentic AI globally through experience and engineering, according to Forrester.
- The company is focusing on connecting models, agents, and enterprise data to create a broader production system.
- Three main themes emerged from the conference: experience, engineering, and ecosystem.
- Tencent is using its collaboration and application portfolio to create a continuous and contextual user experience.
- The company is optimizing its models around real work, rather than just benchmarks.
Tencent's strategy involves two key components: AI and globalization. Forrester reported that these components are becoming increasingly interconnected as the company seeks to bring its technology to customers worldwide.
At a recent conference, Tencent showcased its plans to support the transition of Agentic AI into everyday environments. The company is focusing on connecting models, agents, and enterprise data to create a broader production system.
Three main themes emerged from the conference: experience, engineering, and ecosystem. Experience refers to the user experience and how AI is embedded in everyday work, while engineering determines the reliability and security of AI agents. Ecosystem is also crucial as it enables Tencent to connect its technology with customers and partners across industries.
Tencent is using its collaboration and application portfolio to create a continuous and contextual user experience. The company launched Buddy One, an integrated suite that connects various tools and applications through shared identity and data.
The company is also optimizing its models around real work, rather than just benchmarks. Forrester noted that this reflects a shift in enterprise model competition, where task completion and reliability are becoming more important than just model intelligence.
Tencent's engineering efforts are focused on creating a cloud stack that can support Agentic AI. The company announced an Agent Runtime designed for stateful and long-running agent workloads, with capabilities such as session isolation and request-level authorization.
The company is also emphasizing the importance of trust and security in its AI platform. Tencent described its 'Trusted AI' approach, which includes controls for agent behavior, data governance, and execution tracing.
Questions and answers
What is Agentic AI?
Agentic AI refers to AI that can operate in everyday environments and interact with users and systems in a more human-like way, according to Forrester.
What is Tencent's strategy for expanding Agentic AI globally?
Tencent's strategy involves connecting AI models with everyday work environments and expanding its technology globally through experience and engineering, according to Forrester.
What are the three main themes that emerged from the conference?
The three main themes are experience, engineering, and ecosystem, which are crucial for Tencent to connect its technology with customers and partners across industries, according to Forrester.
