Is Raising Lobsters Too Risky? Xiaohongshu Issues First Ban, the AI Application in the Medical Industry Faces a Red Line

Recently, an AI agent tool with a red lobster icon, OpenClaw, has gone viral in WeChat Moments. This behavior, jokingly called "raising a lobster" by netizens, is quietly changing the workplace ecology in the pharmaceutical industry. Unlike traditional chat AIs, OpenClaw has strong "execution power," capable of identifying screens, operating mice and keyboards, and achieving automated office work across systems.

Productivity Leap: From Hour-Level to Minute-Level Evolution

In the biopharmaceutical field, OpenClaw has demonstrated astonishing efficiency. Tasks that used to take hours for manual data cleaning, experimental analysis, and data entry across systems (such as CRM and ERP) can now be completed in just a few minutes under AI's drive, reducing costs by 70%. It not only monitors academic literature 24/7 and generates summaries, but also automatically follows up with patients, freeing professionals from tedious repetitive tasks.

Regulatory Crackdown: Platform Launches "AI Supervision" Ban

However, the "excessive obedience" of AI has also brought unprecedented security risks. Due to OpenClaw's high operational privileges, improper configuration or attacks could lead to serious privacy leaks or system failures.

In response to this trend, Xiaohongshu was the first to issue a governance notice, explicitly prohibiting the use of AI technology to simulate real people for posting and interaction tasks. This move aims to set boundaries: AI can be an efficiency-enhancing assistant, but it must never impersonate a real personality.

Human-AI Collaboration: Who Pays for AI's Actions?

As AI penetrates core scenarios such as drug research and medical consultation, the issue of responsibility has become a focal point in the industry. Legal experts point out that AI is not a legal entity, and all execution consequences must ultimately be borne by the deployers and users.

The pharmaceutical industry is gradually establishing "operation audits" and "emergency shutdown mechanisms." While pursuing efficiency, it is essential to adhere to the "manual verification" principle, ensuring that key decisions, patient communications, and liability signatures remain in the hands of real people. Letting AI operate within a controlled framework is the long-term way to implement the technology.