The latest AI sensation has taken an unexpected turn. While large language models and humanoid robots struggle to educate the market and cautiously test users' willingness to pay, countless "lobsters" have burst through the industry's long-standing payment barrier in an almost brute-force manner.

OpenClaw has captured public attention, with novice users complaining about the high cost of tokens while simultaneously increasing their training efforts day and night. Some even pay for outside help or scalpers to install this open-source, free AI agent, turning installation services into a business.

The "lobster fever" highlights the biggest weakness in AI commercialization: it's not that users are unwilling to pay, but that most previous products failed to give users a compelling reason to do so.

Large models are impressive, and humanoid robots are flashy, but if they primarily offer chat companionship or come with high price tags, users keep their wallets closed. The "lobster," however, is born free yet carries clear commercial DNA. It combines local and cloud-based functionality—free on the device, paid in the cloud—and, more importantly, it already resembles a functional "digital employee" by 70–80%.

For many users, an AI agent capable of taking over keyboard and mouse operations and autonomously executing complex tasks provides enough motivation to pay, even if the trend carries some bubbles.

Should AI assist humans through inspiration or efficiency? Currently, the latter appears to have higher priority, as evidenced by supporters' token-based endorsement of "lobster."

Before OpenClaw, products like Manus and Doubao Phone Assistant also gained popularity for their ability to endlessly substitute human labor. However, due to usage barriers, corporate restrictions, and ecosystem gaps, they failed to achieve widespread adoption.

As AI transitions from a "toy" to a "tool," and from an "option" to a "necessity," payment is no longer a psychological barrier but a natural extension of efficiency costs.

Both users and tech giants recognize this shift. The frenzy around "lobster" isn't just about competing for a super entry point or dominance in the AI industry—it's about the larger economic calculations behind cloud services. OpenClaw is shifting computing demand from sporadic chat-based requests to round-the-clock operation, causing per-user cloud consumption to rise exponentially.

Of course,狂热 inevitably brings泡沫 and controversy. Some users wake up to find hundreds of dollars in fees, while others discover their keys have been stolen, even giving rise to the dark humor of "paying to uninstall the lobster."

Security remains AI's Achilles' heel. Crossing the commercialization chasm involves growing pains, but absurd incidents are often exceptions. The value of AI agents, as represented by "lobster," should not be dismissed just because a few "shrimp farmers" get pinched.

AI has moved beyond mere parameter competition into a marathon of "technology + application + commercialization." Years from now, OpenClaw may not remain in the spotlight, and泡沫 will recede, but the value left by "lobster" will endure. It has broken down the psychological payment barrier between AI and the general public, proving that users are willing to pay for practicality and usability when the value is substantial enough.

After all, every technological advancement—from the go-playing AlphaGo to poetry-composing large models, to the digital employee "lobster"—deserves respect.