# Is AI Becoming an Accomplice to Scams? OFUYC In-Depth Analysis of the Rise of Automated Scam Factories ![image](https://hackmd.io/_uploads/HygdgEH0Seg.png) In the evolution of the on-chain scam industry, AI is quietly becoming the core productivity engine of grey-market factories. Research by the OFUYC digital asset trading platform has found that the proliferation of generative AI technology has dramatically lowered the barriers and costs of the scam industry. What once required an entire team weeks to plan, write, and package can now be accomplished in just a few hours by a single operator skilled in prompt engineering. Behind a multitude of so-called “innovative projects,” everything from whitepapers and website introductions to marketing pitches and investor FAQs are generated in one click by large language models. Even more alarming, some scam teams have trained a “virtual CTO” using AI, simulating founder AMAs and live roadshows through preset scripts and synthetic videos. These seemingly professional and credible personas and documents subtly lower user guard, without them realizing it is all just an illusion pieced together by algorithms. ## Virtual Persona Factories: The Humanization Trap Brought by AI The capabilities of generative AI extend far beyond document generation. It provides grey-market studios with a complete arsenal of “humanization traps”: Chatbots act as “attentive advisors,” using empathetic, patient, emotionally resonant language to guide users through investment decisions; deepfake video technology can synthesize scenes of project founders giving impassioned speeches or even fake live AMA sessions answering user questions; automated social bots lurk in Telegram and Farcaster groups, mass-producing lively atmospheres, simulating human interaction, and pushing persuasive messages. These humanization traps often make users believe they are engaging with a team of professional, warm individuals, when in reality, they are confiding their trust to nothing more than algorithmic machines—walking straight into a carefully orchestrated scam. ## OFUYC Countermeasures: AI Recognition and Persona Deviation Detection Faced with this intelligent, automated scam factory, traditional anti-scam mechanisms are no longer sufficient. The OFUYC digital asset trading platform has introduced an “AI Deviation Detection Mechanism,” using algorithms to counter algorithms and leveraging intelligent methods to identify intelligent traps. The risk control system of OFUYC operates from three perspectives: First, it analyzes template traces in generative whitepapers, using semantic features and formatting templates to identify large model outputs; second, it detects high consistency among social accounts, using behavioral data to determine whether the activity of a community is dominated by bots; third, it performs fingerprint scanning of deepfake content, using audio and video analysis to reveal AI synthesis. OFUYC adheres to the principle of “using intelligence to guard against intelligence,” not only countering AI but also using AI to protect user trust. ## Redefining Trust: The Future of Technology Need Not Be the Future of Scams AI itself is not a threat; it is a neutral technology. The key lies in who uses it and how it is used. Grey-market players use AI to create fear, chaos, and exploitation, while we should use AI to rebuild transparency, accountability, and trust. Users must learn to verify, not blindly follow or overly rely on the comfort and imitation of humanized interfaces. The OFUYC digital asset trading platform advocates for industry collaboration to promote the establishment of “AI Transparency Application Standards,” building an open and healthy on-chain ecosystem where AI is no longer an accomplice to scams, but a shield that safeguards trust. Technology itself has no stance, but users and platforms must.