【AI+OpenClaw】Morgan Stanley: Skeptical about the widespread adoption of OpenClaw products in Mainland China - Three challenges pose significant obstacles

Morgan Stanley releases a report expressing doubts about whether OpenClaw-related products can achieve large-scale adoption in mainland China at this stage. The report states that the framework is still an experimental autonomous agent framework rather than a mature application available directly to consumers. Given its current form, challenges in usability, reliability, and security remain significant obstacles.

Morgan Stanley notes that the differentiation among products based on OpenClaw is limited, with most core functions focused on “one-click deployment” and “configuration efficiency.” Nevertheless, the firm remains optimistic about agentic AI applications driven by powerful foundational models (such as MiniMax (00100), Zhipu (02513), Alibaba (09988) Qwen, etc.) and integrated into comprehensive ecosystems (such as Tencent (00700), Alibaba, etc.). Among various model providers, MiniMax stands out, not only receiving recommendation from OpenClaw founder Peter Steinberger but also ranking second in PinchBench (OpenClaw’s large language model benchmark), just behind Gemini-3-flash.

Morgan Stanley: If Tencent more actively promotes products similar to OpenClaw, it could help counteract investor skepticism

Morgan Stanley states that with policy support in mainland China and the active push by internet and large language model (LLM) companies to commercialize products, OpenClaw is rapidly gaining popularity in China. The firm remains optimistic about companies with leading foundational models and ecosystem advantages. Morgan Stanley mentions that for Tencent, more proactive launch of products similar to OpenClaw could help counter recent negative sentiment labeling Tencent as an “AI laggard.”

Morgan Stanley believes China is becoming one of the fastest-growing markets for OpenClaw adoption, driven by factors such as:

• Active participation of developer communities and demand for AI agents based on communication software;
• Rapid productization by domestic cloud and foundational model providers;
• Policy support from the widespread “AI+” initiatives in China, along with local government funding (e.g., Shenzhen Longgang, Wuxi, Hefei, etc.), which offer subsidies for deploying and applying OpenClaw to empower “one-person companies.”

Morgan Stanley sees the increasing popularity of OpenClaw as further evidence of two major macro trends in China’s AI sector: bottom-up adoption by individuals and small to medium-sized enterprises (SMEs); and the gradual shift toward “model-agnostic” applications, where users can switch freely among leading open-source models domestically at very low token costs.

What is OpenClaw?

OpenClaw is a free, open-source AI agent framework that runs locally, calling external large language models and using communication software as the main interface to perform tasks. The framework was created by Peter Steinberger and was originally named ClawBot. Since late January, it has rapidly gained popularity worldwide, setting records for the fastest star growth in GitHub history: receiving 9,000 stars on its first day, reaching 60,000 stars within 72 hours, and now surpassing 300,000 stars.