Within this, Tencent’s big push right now (like everyone else’s) is agents. Agents are the breakout use case after AI chatbots. At Tencent, agents (i.e., lobsters) have definitely become the focus for this round of product releases.
Category Archives: AI Agents
My Explanation for Tencent’s More Focused and Aggressive Strategy in AI and Agents (2 of 3)
Unlike traditional software, you can’t just build a GenAI service and then let everyone use it for free. The compute and other costs required for intelligence are not mostly fixed. Variable costs are a big deal in generative AI, whether it be LLMs, image generation, or video generation.
Tencent Unveils Accelerated GenAI and Agent Strategy. And Launches Hunyuan Hy3. (1 of 3)
Tencent Unveils Accelerated GenAI and Agent Strategy with the launch of Hunyuan Hy3, reflecting a shift toward high cost-effectiveness and practicality in foundation models. Hy3 preview, built with the new model infrastructure, emphasizes complex reasoning, long context understanding, coding, and intelligent agent capabilities while using an efficient MoE architecture. This supports systematic deployment into Tencent’s products and ongoing advancements in AI and agents.
What Matters in China Tech Right Now (Tech Strategy – Podcast 282)
In this episode of the Tech Strategy Podcast, digital strategy consultant Jeffrey Towson identifies the most significant shifts currently occurring within the China tech ecosystem. The discussion focuses on how companies can refine their digital transformation strategy to maintain a competitive edge in a volatile market. By analyzing specific winners and losers, the article highlights what truly matters for tech leadership right now.
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2 Problems with Scaling Agentic AI (Tech Strategy – Podcast 281)
The transition from simple automation to autonomous agents creates significant complexity for most organizations. Digital strategy consultant Jeffrey Towson identifies two primary bottlenecks that prevent these systems from scaling effectively across diverse business units. Success requires a more robust digital transformation strategy that addresses the specific limitations of current agentic frameworks.
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My 5 Takeaways from Mobile World Congress 2026 (Tech Strategy – Podcast 278)
The 2026 Mobile World Congress served as a pivotal moment for identifying the next wave of infrastructure and consumer tech trends. In this episode, digital strategy consultant Jeffrey Towson provides a detailed analysis of how these shifts impact a company’s long-term digital transformation strategy. From AI integration at the edge to the maturation of 6G, these five takeaways highlight the current state of global tech competition.
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MWC 2026 Takeaway 2: Huawei’s AI Infrastructure Depends on People, Not Just Processors (2 of 5) (Tech Strategy)
The second takeaway from MWC 2026 highlights that high-performance processors are only one half of the equation for Huawei’s growing influence. Digital strategy consultant Jeffrey Towson argues that the ability to deploy complex AI infrastructure depends heavily on the engineers and experts who manage these systems on the ground. This focus on people over just hardware is a defining characteristic of a resilient digital transformation strategy for enterprises navigating the shifting tech landscape.
The GenAI / Agentic Operating Basics (Tech Strategy)
The core argument is that AI is transitioning from a passive tool to an active, goal-oriented partner, creating a new agentic AI operating model. This represents a fundamental shift for digital transformation strategy, moving beyond simple task automation. According to digital strategy consultant Jeffrey Towson, this new model is becoming the central operating system for the entire enterprise.
How to Build an Agentic AI Operating Model (Tech Strategy – Podcast 263)
The Agentic AI Operating Model is the next digital transformation strategy, moving beyond simple AI tools to a system of autonomous AI agents that work alongside humans. According to digital strategy consultant Jeffrey Towson, this model consists of four integrated components: the AI Agent Layer, the AI Coordination Layer, the Human Coordination Layer, and the Operating Rhythm. This framework enables companies to fundamentally redesign their operations around the new capabilities of AI.
AI Agents Need Data Ecosystems, Not Marketplaces (2 of 2) (Tech Strategy)
As digital strategy consultant Jeffrey Towson explains, AI agents need data ecosystems to function effectively, which has significant implications for businesses developing their digital transformation strategy. A well-designed data ecosystem can provide the necessary infrastructure for AI agents to learn and improve, driving innovation and growth. By understanding the importance of data ecosystems, businesses can refine their digital strategy and stay ahead of the curve, as emphasized by Jeffrey Towson in his discussion of the role of AI agents in shaping the future of technology.