In the breakneck world of artificial intelligence, the line between innovation and exploitation is increasingly blurred. The recent marketing strategy of Manus AI, the startup Meta acquired for a staggering $2 billion last year, has ignited a firestorm of criticism across the tech community and regulatory circles. The company's advertisements, currently flooding social media feeds, promise a new era of "easy money," urging users to leverage its tools to build and sell websites to small businesses that lack a digital footprint.
The model is simple yet ethically dubious: the AI identifies businesses with poor or non-existent websites, automatically generates a new site within minutes, and then prompts the user to "cold call" and sell it to the business owner. This approach, reminiscent of the glory days of dropshipping and "get rich in a week" seminars, raises serious questions about the quality of digital content and the responsibility of big tech corporations.
The Anatomy of a Digital Hustle
Manus AI isn't just selling a productivity tool; it's selling a dream of financial independence built on automation. The company's ad campaigns utilize influencers and content creators who are paid to present the tool as a passive income machine. The proposed process is almost entirely detached from real value or creativity. The user doesn't need to know coding, design, or marketing strategy. They only need to act as a middleman between Meta's AI and an unsuspecting local business.
The problem with this model is twofold. First, websites mass-produced by AI tend to be what experts call "AI slop" — low-quality, soulless content that often contains inaccuracies and offers no real value to the business's customers. Second, this practice creates an army of "digital bounty hunters" who pressure small businesses into buying products they might not need or could have obtained for free with minimal effort.
Meta’s Responsibility and Algorithmic Ethics
Why would Meta, a company that has spent years fighting to clean its platform of deceptive advertising, allow its own subsidiary to employ such tactics? The answer likely lies in the pressure for a quick return on AI investments. The $2 billion acquisition of Manus demands immediate revenue and mass user adoption. However, using tactics that mirror multi-level marketing (MLM) schemes undermines Meta's credibility as a leader in responsible AI.
"When AI is used to automate deception or pressure the vulnerable, it ceases to be a tool of progress and becomes a tool of exploitation," industry analysts warn.
Furthermore, there is the looming threat of the "Dead Internet Theory," where the web becomes saturated with content created by bots for bots, making the search for genuine information and authentic businesses nearly impossible. If every local plumber or cafe ends up with an identical, AI-generated website, market differentiation and quality will suffer a significant blow.
Market Reaction and the Creator Economy
Many professional web designers and developers are expressing outrage, seeing their profession trivialized. The promise that "anyone can become an agency owner with the click of a button" is fundamentally misleading. Managing a website requires ongoing support, security, and updates — elements that the Manus AI model conspicuously ignores. Businesses that purchase these sites risk being left with a digital product that fails at the first technical hurdle, with no real support from a "seller" who was only looking for a quick buck.
In conclusion, the case of Manus AI serves as a cautionary tale for the future of the AI economy. If tech giants choose the path of easy profit through automated mediocrity, they risk destroying the very ecosystem that sustains them. Ethics in AI is not a luxury; it is a prerequisite for the long-term survival of innovation.
