A recent online comment captures a common sentiment: "So many articles hype OpenClaw as the next big thing, suggesting you'll be left behind if you don't jump in, but they all end up selling courses."

Over the past week, public discourse has been dominated by discussions about raising "AI Lobsters." On one side, numerous influencers loudly proclaim that failure to adopt this technology will lead to obsolescence. Conversely, a few voices argue that 90% of people have no actual need for it. Meanwhile, others caution the public to be wary of potential scams. This raises the question: who is responsible for fueling the hype and anxiety surrounding this "national lobster-raising" trend, and what is the fundamental communication logic behind it?

An analysis follows. While I haven't installed the "Lobster" AI agent myself, this examination will leverage AI assistance. I have enlisted the recently debated "Qianwen" model as an assistant.

The analysis is structured around eight key questions: 1. With numerous AI applications available, why did the "Lobster" suddenly gain explosive popularity? 2. How did the "Lobster-raising" trend ignite from the Spring Festival period? 3. What are the current "Lobster" variants available on the market? 4. Which major tech company executed the most effective public relations and communication strategy? 5. As the primary promoter, what specific actions did Fu Sheng take? 6. Which executives from major firms have made public statements regarding the "Lobster"? 7. What is the underlying communication logic behind the manufactured "national anxiety"? 8. Is it ultimately necessary for individuals to "raise a lobster"?

The analysis now begins.

1. Why did the "Lobster" suddenly explode in popularity among so many AI applications? While AI applications are plentiful, the "Lobster-raising" trend—referring to deploying and using OpenClaw-type AI agents—broke out from techie circles into a mainstream phenomenon by capitalizing on a rare convergence of favorable timing, conditions, and public sentiment. The core logic can be dissected across four dimensions:

Product Logic: A qualitative leap from "speaking" to "doing." Previous AI models like ChatGPT functioned more as "advisors," limited to conversation and suggestion. The "Lobster" acts as an "employee," capable of taking control of a computer to perform operations. Evidence includes OpenClaw's ability to gain system permissions to automatically open browsers for searches, write code, organize files, and schedule social media posts. Analysis: This shift from dialogue to execution allows ordinary users to experience the convenience of having machines perform tasks on command. For instance, cases like Fu Sheng's demonstrate an AI agent completing work equivalent to six people over three weeks in just 24 hours. This disruptive impact on productivity, far exceeding previous AI tools for drawing or writing, evokes a mix of excitement and anxiety among professionals, significantly fueling its spread.

Communication Logic: The "meme" potential and social currency of geek culture. The name "Lobster-raising" itself is a powerful traffic driver. Evidence includes the project's lobster icon and a deployment process involving "feeding" computing power (Tokens), making the complex operation analogous to "farming." Analysis: Lowering Barriers: Compared to obscure terms like "AI Agent" or "open-source framework," "Lobster-raising" is vivid, relatable, and inherently newsworthy, representing a victory in naming and symbolism. Social Currency: By early 2026, a common social greeting became "Have you raised your lobster yet?". This transformed the activity from a technical experiment into a symbol of identity—being tech-savvy and riding the latest trend. It even spawned new social and commercial activities like "Lobster Installation Meetups" and "Lobster-raising services."

Human Nature Logic: The fear and exhilaration of "loss of control" and "creation." The trend's popularity stems not just from efficiency gains but also from intense emotional stimulation. Evidence ranges from individuals earning significant sums by installing the software for others to security experts warning of a "security nightmare" potentially leading to data leaks or system deletion. Analysis: Creator Complex: With OpenClaw's code being 100% AI-generated and capable of self-reflection and error correction, users training it experience a sense of achievement akin to "taming a digital life" or "creating a digital twin." Panic-Driven Engagement: The agent's 24/7 operation leads to rapid Token consumption, with users sometimes waking to find thousands spent. This "costly sense of失控" paradoxically stimulates curiosity, driving more people to see what this "money-guzzling beast" looks like.

Industry Logic: The "collaborative push" from giants and capital. Without major tech companies amplifying the trend, the "Lobster" might have remained a niche tool. Evidence includes: TENCENT: Organizing a queue of a thousand people for free installations at its Shenzhen headquarters, with CEO Ma Huateng personally sharing the event on social media. Local Policies: The Longgang District in Shenzhen rapidly issuing "Ten Lobster Policies," and Wuxi High-Tech Zone announcing support policies with subsidies up to 5 million yuan. Analysis: Cloud providers need to sell computing power, LLM companies need Token consumption, and local governments aim to capture the AI industry high ground. "Lobster-raising" became a convergence point for these interests, with the entire industry chain collectively promoting it, creating a prairie-fire effect. The "Lobster" trend caught fire because it made AI "visible, tangible, and profitable." The disruptive potential for productivity, combined with social media's裂变效应 and capital's push, collectively created this "national lobster-raising" frenzy.

2. How did the "National Lobster-Raising" trend ignite from the Spring Festival? Based on public information, the popularity of AI "Lobster-raising" followed a typical path: fermentation within techie circles -> ignition by offline events -> follow-up from policy and capital. A timeline of key milestones would detail this progression.

3. What are the current "Lobster" variants available on the market? According to media compilations, 13 major tech companies have launched their own "Lobster" variants. A chart would typically list these.

4. Regarding "Lobster" communication, which major tech company had the better PR strategy? Examining the differences in how internet giants publicized their "Lobster" news reveals distinct PR styles and strategic intents. Briefly, TENCENT excelled in "volume" and "execution," ByteDance in "technical prowess" and "ecosystem positioning," and Xiaomi in "topic virality" and "speed." If measured by "breakout effect" and "societal impact," TENCENT's strategy scores highly. Reasons: Strong Visuals: The image of long queues outside TENCENT's headquarters was more persuasive than any technical parameter, directly conveying the anxiety that "AI is here, and you're falling behind if you don't learn." Executive Endorsement: Ma Huateng's comment of "unexpected" appeared humble while implicitly confirming the product's popularity, making this bottom-up热度 more credible than hard advertising. Scenario Application: Emphasizing the "office scenario" through WorkBuddy directly addressed white-collar workers' needs for efficiency, transforming AI from a "chat toy" into a "productivity tool." If judged by "commercial prospects" and "industry value," ByteDance's strategy holds greater long-term competitiveness. Reasons: Ecosystem Integration: ByteDance deeply integrated its AI Agent with Feishu (collaboration) and Volcano Engine (cloud services), creating a complete "tool + platform + monetization" chain. Developer Ecosystem: By offering SaaS and API versions, ByteDance served end-users and attracted developers, aligning with its platform-based approach. Technical Neutrality: Compared to TENCENT's "buzz" and Xiaomi's "hardware" focus, ByteDance's solution offered greater generality, not limited to specific hardware or scenarios. TENCENT won in "mass communication," successfully turning a geek toy into a society-wide discussion. ByteDance won in "commercial layout," being best positioned to turn AI Agents into a new cash cow, similar to its past cloud services strategy. Xiaomi won in "brand marketing," achieving high exposure at low cost, reinforcing its "technology pioneer" image. Furthermore, while others focused on "features" and "traffic," NetEase astutely identified the overlooked pain points of "security" and "compliance" as its entry point.

5. Which major company executives have made public statements regarding the "Lobster"? A list or summary of executive comments would be provided here.

6. As the primary promoter of "National Lobster-Raising," how did Fu Sheng achieve this? This represents an integrated communication case study combining "personal IP + product experience + emotional resonance." Fu Sheng's propagation of the "Lobster" (OpenClaw) was not a simple press conference or ad campaign, but a "real-person test + serialized output" action-oriented marketing effort. He turned himself into a "human microphone," using highly dramatic personal experiences to push a niche open-source project into the mainstream spotlight. He leveraged his CEO status for credibility, used an extreme scenario ("a fracture") for testing, and demonstrated with high costs ("burning money") to convince the public that the "Lobster" is not a toy, but an impending productivity revolution. The core communication logic leveraged three key levers: Lever 1: The "反差萌" Persona - The contrast between a billionaire listed-company CEO and a bedridden "fracture patient" working fervently created a compelling narrative. Lever 2: "Hardcore Practical" Trust - Instead of abstract concepts, Fu Sheng showcased the AI working for him, including processes, results, and even failures, with substantial financial investment proving its value. Lever 3: "Emotional Resonance" Anxiety - He tapped into public excitement about a "productivity revolution" and fear of "being replaced by AI," creating a strong Fear Of Missing Out (FOMO). Key milestones included an initial "incubation period" while bedridden, a "breakout period" during Spring Festival where the AI sent personalized New Year messages, and a "nationwide evangelism period" involving a live stream where the AI fixed its own error, a viral blog post written by the AI, and impactful public appearances and statements by Fu Sheng.

7. What is the underlying communication logic behind the "national anxiety" created by "Lobster-raising"? From a PR perspective, the "national anxiety" surrounding "Lobster-raising" is not accidental. It results from the deep intertwining of technology's objective impact, media amplification, deliberate guidance by commercial interests, and societal psychological vulnerability. This is a classic social psychological phenomenon driven by the resonance of "fear-based marketing" and "Fear Of Missing Out (FOMO)." The reasons are analyzed as follows:

"Violent" Restructuring of the Narrative: From "Tool" to "Employee." A core aspect of PR is争夺定义权 (controlling the narrative). In this trend, the rhetoric shifted provocatively. Old Narrative (Pre-Anxiety): AI as "assistant," "model," "tool" – implying human dominance. New Narrative (Anxiety Source): AI as "employee," "digital twin," "one-person company." Analysis: Defining AI as an "employee" directly touches the most sensitive nerve for workers: replacement. Propagating phrases like "one person plus one lobster equals a team" implicitly labels non-users as backward and obsolete, translating technological progress into an existential crisis.

Extreme Amplification of FOMO (Fear Of Missing Out). The communication strategy expertly exploited the psychological fear of missing out. Creating a "Binary Opposition": The narrative deliberately pitched "Lobster-raisers" against "those who will be left behind," portraying non-participation as an ostrich mentality. Promoting "Get-Rich-Quick Myths": Media reports highlighted stories of high earnings from installation services or one-person businesses, creating a survivorship bias that fostered illusions of immediate wealth or advantage, making inaction seem costly. Evidence: The "thousand-person queue" at TENCENT's headquarters was itself a large-scale FOMO performance art, visually demonstrating herd mentality.

"Anxiety Peddling" by the Commercial Interest Chain. Behind the frenzy lies a vast industry "selling shovels" during a gold rush. Manufacturing anxiety is the fuel for this chain's operation, involving course sellers, computing power providers, and consultants.

"Black Box Fear" and Loss of Control. Unlike traditional apps, the "autonomy" of AI agents introduces a new fear – uncontrollability. "Horror Stories" in Circulation: Media widely circulated incidents like Meta's security director's inbox being cleared or Lobsters deleting files randomly. Analysis: These stories were distorted in传播. They proved the AI's "powerful capability" (by showing it can take control) while simultaneously creating a "Pandora's Box" fear – the dilemma of wanting superpowers but fearing backlash. This矛盾心理 is a deep source of anxiety.

"Acceleration Effect" of Official Endorsement. Typically, authorities are cautious about new tech. This time, however, saw rare official endorsement. Events included the Shenzhen government's subsidy policies and NPC representatives publicly discussing the topic. Analysis: This top-down push transformed a potential geek pastime into a "politically correct" and "historically inevitable" mega-trend. When "AI agents" enter government work reports or become legislative hot topics, public anxiety spikes – it's no longer about following a trend, but about keeping up with the times or policy direction. The "national anxiety" manufactured by "Lobster-raising" is essentially a psychological battle over "control." PR communications successfully packaged the adoption of a technical tool as a "survival race" concerning personal fate, by demonizing inaction and glorifying adoption.

8. Is it ultimately necessary for me to "raise a lobster"? Deciding whether to join the "Lobster-raising" army should not be based solely on momentary anxiety or curiosity. It resembles a costly "investment" more than a free "upgrade." The answer is "necessary" if: You are a developer, content creator, data analyst, or efficiency enthusiast with sufficient funds and willingness to invest time in debugging and training it. For you, it's a "copilot" for productivity. The answer is "unnecessary" if: You are merely "following the trend," hope to "get rich quick," or are uncomfortable with "paying to maintain software." For your needs, conversational AIs like Kimi, Doubao, or Qianwen are likely sufficient;盲目入局 is not required. In summary: Don't raise a lobster out of anxiety; raise it if you "want to be lazy" and can "afford to raise it."

Finally, have you raised a lobster, or not? Experiences are welcome in the comments.