The digital fervor for 'lobster farming' (a metaphor for using OpenClaw) has transcended the tech sector, captivating enthusiasts from all walks of life.

Nearly a thousand fans gathered outside Tencent's headquarters, eager to install OpenClaw. Apple's Mac Mini M4, a popular host for OpenClaw, sold out on e-commerce platforms. Social networks buzzed with discussions ranging from get-rich-quick schemes to guides on avoiding pitfalls.

As an open-source AI agent framework, OpenClaw has, in just four months, outperformed perennial favorites like Linux and React, claiming the top spot on GitHub, the world's premier code hosting platform. This remarkable feat is attributed to its groundbreaking leap in technical paradigms.

Unlike large language models of the past three years, which merely 'chatted' with users, OpenClaw endows AI with true agency. With system permissions, it can autonomously read emails, analyze spreadsheets, search for information across software, and manage complex workflows—acting as a tireless 'digital workhorse' around the clock.

While the general public celebrates this productivity revolution, savvy players are already positioning themselves strategically.

| The Frenzy Spreads: A Comprehensive 'Gold Rush'

In any gold rush, the early fortunes are made not by the prospectors but by those selling tools and supplies. OpenClaw's popularity, coupled with its high deployment threshold, has created a windfall for C-side service providers. For today's netizens, accustomed to 'one-click downloads' in app stores, complex command-line operations, finicky configuration environments, and API key integrations are daunting tasks.

The chasm between users' technical acumen and their desire for automation has spawned a lucrative proxy service industry. On e-commerce and secondhand platforms, services like 'OpenClaw on-site installation/remote assistance,' priced from tens to hundreds of yuan, have seen sales soar within weeks.

Even more astonishingly, as users grappled with security mishaps and operational glitches, a new business emerged: 'Limited-time offer: 299 yuan for on-site uninstallation of OpenClaw.'

These uninstallation services, marketed as 'safe, clean, and residue-free,' formed a perfect closed loop with the initial installation services. Service providers profit handsomely from both ends, without bearing any technical or computational risks.

In the B2B market, tech giants have humbly positioned themselves as 'modern-day Lei Fengs' (selfless helpers). Alibaba acted swiftly and strategically, launching not only 'OpenClaw one-click cloud deployment' to spare users the hassle of local configuration but also rolling out the mobile version 'JVS Claw' on March 13.

Baidu introduced the mobile 'Lobster' Red Finger Operator, integrating its self-developed AI Agent capabilities for cross-App operations like ride-hailing and food delivery. This prompted OpenClaw's founder to like multiple posts on Baidu's official account and express willingness to collaborate.

Additionally, Zhipu officially launched AutoClaw, touting China's first 'one-click install' local version. Tencent rolled out the all-scenario AI agent WorkBuddy and set up offline stalls in major cities for free installations. ByteDance launched ArkClaw and swiftly established a similar OpenClaw community forum, InStreet, on its Kouzi platform. MiniMax introduced MaxClaw to integrate with OpenClaw's ecosystem.

Capital markets responded enthusiastically to these swift moves. Alibaba's stock surged 2% after launching the mobile OpenClaw. MiniMax's market cap briefly hit a record, exceeding 38 billion HKD. Zhipu's stock soared over 13% on the day it announced joining the 'Lobster Game.' A-share sectors like computing clouds and vertical AI applications, including Kunlun Wanwei and Zhangyue Technology, also experienced explosive growth.

As the market continues to sizzle, local governments have joined the fray. Hefei High-Tech Zone unveiled 15 hardcore measures, offering a comprehensive package of 'space + talent + computing power + scenarios + capital,' with up to 10 million yuan in funding. Wuxi High-Tech Zone released '12 Measures for Lobster Farming,' with single-item support reaching up to 5 million yuan. Shenzhen Longgang District announced hefty rewards for deep OpenClaw application projects.

From service providers 'harvesting' profits to tech giants 'staking claims' and local governments 'betting big,' a fully interconnected gold-digging ecosystem has taken shape.

| Government-Enterprise Synergy: A Grand Vision for Industrial Upgrading

On the surface, tech giants and local governments seem to be fervently promoting a 'national lobster-raising' movement. But why such heavy investments? Hidden beneath lies a deep-seated strategy for monetizing computing power and restructuring industries.

Over the past two years, the domestic large language model competition has stagnated in a dead end of 'parameter inflation and price cuts.' Pure chat modes cannot sustain a healthy business model. Users occasionally ask AI to write emails or generate images, but these single interactions consume minimal Tokens, failing to offset the massive depreciation costs of underlying computing clusters daily.

Tech giants urgently need 'Token black holes' that continuously and automatically consume computing power—and OpenClaw fits the bill perfectly.

As an agent, its execution logic is exhaustive: when a user issues a vague instruction, it breaks down the task, constantly reads the screen, calls tools, identifies errors, self-corrects, and retries—sending requests to cloud-based large model APIs at every step. This means a single complex task's Token consumption could be hundreds or even thousands of times higher than ordinary conversations.

From this perspective, tech giants subsidizing labor and resources to deploy 'Lobsters' for free isn't just out of open-source spirit but to turn users' computers into 24/7 'computing power siphons.' They're not raising lobsters but cultivating stable paying users who consume thousands of Tokens daily. This not only revitalizes idle computing assets but also clarifies the monetization logic.

Of course, the giants' ambitions extend beyond selling Tokens. For years, China's internet traffic has been fragmented into information silos by super Apps like WeChat, Douyin, and Taobao. The emergence of system-level agents like OpenClaw opens entirely new possibilities for the industrial ecosystem.

When AI can automatically reply to Feishu messages and cross-platform manage user operations, super Apps will gradually become 'pipes' providing underlying service interfaces. By using OpenClaw as a vessel, tech giants aim to seize the ultimate distribution rights to 'directly respond to user intent' in the future digital world.

If tech giants prioritize computing power and traffic, local governments' cash injections focus on macroeconomic transformation and industrial upgrading.

A close reading of 'Lobster-raising' subsidy policies in Hefei, Wuxi, and Changshu reveals a focus on 'super individuals.' OpenClaw's popularity has drastically lowered entrepreneurial barriers, enabling solo operators to handle entire company operations—finance, marketing, customer service—using AI tools.

Local governments building 'Lobster Ponds' are essentially waging a new era 'talent war,' hoping to attract top tech-savvy, high-efficiency innovators through subsidies.

Government subsidies also have strong scenario-driven goals. Wuxi High-Tech Zone's policies explicitly state that top-tier rewards must be based on OpenClaw-developed 'industrial quality inspection, equipment predictive maintenance,' or key technological breakthroughs in 'embodied intelligent robots.' Shenzhen Longgang District focuses on deep applications in 'smart manufacturing, smart governance, smart parks, and smart healthcare.'

With tech giants providing underlying computing power and governments guiding with capital and policies, OpenClaw has transcended its status as a geek 'cyber toy' to become a cornerstone of national strategies for empowering the real economy and developing 'new quality productive forces.'

| Opportunities and Challenges: The Painful Transition Period

OpenClaw's greatest contribution isn't its current code perfection but completing a global-scale user mindset education. It made the public truly realize that AI isn't confined to chatboxes but can evolve into a super butler capable of actual outsourcing, like 'J.A.R.V.I.S.' from Iron Man.

Cheetah Mobile CEO Fu Sheng used OpenClaw to build eight AI agents for his office work during the Spring Festival, arguing that OpenClaw has 'revalued productivity.' Zhu Xiaohu, managing partner at GSR Ventures, lamented that 'the AI-era operating system is basically settled.'

This mindset shift even ignited the long-stagnant PC hardware market. Since OpenClaw requires exclusive screen and mouse control during work, and users instinctively protect data privacy by avoiding deployment on primary office machines storing core secrets, a massive demand emerged for dedicated devices for AI digital workers.

Apple's Mac Mini M4, with its cost-effectiveness, low power consumption, and high macOS compatibility, became an internet sensation, selling out across platforms and even commanding near-1,000 yuan premiums in secondhand markets.

But alongside opportunities, cost and security challenges surge.

Unlike traditional software, every Agent trial-and-error burns real money. According to The Beijing News, users with deployed OpenClaw consume 150–300 million Tokens monthly under regular usage, incurring fees of 10,000–40,000 yuan—turning the 'digital workhorse' into a 'money-eating beast' unaffordable for ordinary users.

Moreover, since most white-collar work relies heavily on interpersonal gaming and ambiguous judgments with no clear standard operating procedures to feed machines, ordinary users who spend heavily on OpenClaw may find it generates only useless digital waste.

Worse, OpenClaw's positioning as a cross-system 'doer' requires extremely high execution permissions, turning it into a ticking time bomb for user information security.

According to New Consumer Daily, a Shenzhen programmer shared that his API key was stolen three days after installing OpenClaw, resulting in a 12,000 yuan Token bill. OpenClaw Exposure Watchboard data shows over 270,000 OpenClaw instances worldwide are now directly exposed to the public internet due to misconfigurations, facing imminent risks of hacker intrusions, plugin poisoning, API key theft, and even financial account takeovers.

Li Nan, founder of Angry Miao Technology, bluntly stated, 'With current security levels, OpenClaw can steal your account passwords anytime. I advise ordinary users to stay away.'

Consequently, the Ministry of Industry and Information Technology and the National Internet Emergency Center issued top-level security risk warnings. Multiple universities banned software installation on campus office devices, and Xiaohongshu cracked down, banning accounts whose publicly visible notes were all AI-managed.

Security breaches punctured the capital market's frenzy, with 'Lobster concept stocks' on A-shares and HKEX plunging collectively. MiniMax, which had hit market cap myths, dove over 9% intraday. Zhipu fell over 8%. Kunlun Wanwei dropped over 3%. Computing power and application stocks like Shunwang Technology also tanked.

Risks and capital retreats are forcing the industry to accelerate toward 'secure sandbox' governance—a core reason why Alibaba-led tech giants are focusing on cloud-isolated execution functions. Leveraging Alibaba Cloud's Wuying cloud-native computing and cloud desktop infrastructure, users can drive Clawbot via natural language instructions to operate apps and complete complex tasks in isolated, secure cloud environments.

In truth, stripped of capital and marketing hype, we must objectively acknowledge that current OpenClaw remains a transitional, rough tool with limited interactions, high costs, and security flaws—far from a truly inclusive and safe 'super productivity tool.'

But OpenClaw has torn open a gateway to the future, making it clear to markets and users that the development direction of 'humans defining goals and boundaries, AI recursively executing' is irreversible.

Image sourced from the internet. Rights reserved for the original creator.