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Newsletter N°87 - March 2026 

AI 87

💻 AI Platforms: OpenClaw in Asia: Between Hype, Restrictions, and Industrial Race 

OpenClaw is an open-source artificial intelligence assistant created by Austrian developer Peter Steinberger, which relies on large language models like Claude from Anthropic. Unlike traditional chatbots (such as ChatGPT or DeepSeek) that only respond to questions, OpenClaw is capable of making decisions and performing complex tasks autonomously, such as managing calendars, sending emails, or conducting research.

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Across Asia, this new technological wave is gaining momentum. While still in its early stages, OpenClaw is already reshaping conversations in tech ecosystems from cautious corporate bans in South Korea to aggressive industrial deployment strategies in China.

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A Grassroots Surge Driven by Developers

 

OpenClaw’s rise has been notably organic. In developer and tech circles, particularly in South Korea, the tool has rapidly become a “hot topic”, discussed as a potential breakthrough in human-machine interaction.

 

Interestingly, its adoption has been fueled by unconventional hardware trends. The Apple Mac Mini has emerged as a preferred device among early adopters. Developers have reportedly been purchasing dedicated machines to experiment with OpenClaw, avoiding installation on their primary work devices due to security and compliance concerns.

 

This phenomenon reflects two underlying dynamics:

  • A desire to bypass corporate restrictions

  • The growing perception of certain hardware configurations as a “gold standard” for AI experimentation, particularly as RAM-intensive workloads become more common

 

Corporate Backlash in South Korea

 

Despite its popularity among developers, OpenClaw has triggered strong resistance from major Korean tech companies. Leading firms such as Naver, Kakao, and Karrot have moved to restrict or ban the use of OpenClaw internally. The primary concern lies in data security risks.

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As an AI agent capable of interacting across applications and executing tasks autonomously, OpenClaw raises fears around:

  • Sensitive data leakage

  • Lack of transparency in decision-making processes

  • Potential vulnerabilities when integrated into corporate systems

 

This cautious stance highlights a broader tension: while innovation is accelerating, governance frameworks and security protocols are struggling to keep pace.

 

China’s Strategic Push Toward Commercialisation

 

In contrast to Korea’s defensive approach, China is embracing OpenClaw as a strategic opportunity. Major players like Baidu and Tencent are actively investing in the development and commercialisation of OpenClaw-based solutions.

 

Baidu has introduced a suite of AI agents—informally dubbed “lobsters”—designed to integrate seamlessly across devices and platforms.

These include:

  • Desktop assistants

  • Mobile ecosystems

  • Cloud-based services

  • Smart home integrations

 

These agents can already perform complex, multi-step actions, such as editing videos, ordering services, or controlling connected devices. While still imperfect, Baidu executives suggest that such systems could evolve into operating system-level capabilities, fundamentally transforming how users interact with technology.At the same time, Tencent Cloud has launched enterprise-grade solutions to address one of OpenClaw’s biggest barriers: trust.

 

Its platform integrates:

  • Multi-layered security safeguards

  • Industry-specific plugins

  • Pre-built workflow templates

 

This approach aims to make OpenClaw deployable at scale within corporate environments, bridging the gap between innovation and compliance.

 

A Fragmented but Promising Future

 

The trajectory of OpenClaw in Asia reveals a fragmented landscape:

  • Grassroots enthusiasm among developers

  • Corporate caution in markets like South Korea

  • Industrial acceleration in China

 

In Japan, OpenClaw remains in an experimental phase, with cautious adoption driven by developers and strong emphasis on security, contrasting with China’s rapid industrialisation and Korea’s corporate restrictions.

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This divergence reflects differing priorities ; security, innovation, and market leadership but also underscores the same reality: AI agents are becoming the next frontier of digital transformation.

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