第一批把脸卖给AI的人，已经后悔了

Core Viewpoint - The article discusses the emerging business of "selling faces" for AI-generated digital avatars, highlighting both the lucrative opportunities and the potential risks associated with loss of control over one's image and identity [5][30]. Group 1: Business Model and Financials - AI companies are shifting from crowdsourcing facial data to directly purchasing face rights, creating "premium digital humans" that can be infinitely replicated and monetized [5][30]. - Companies like Synthesia and HeyGen have achieved annual revenues in the hundreds of millions by mass-producing digital avatars, with initial investments of a few thousand dollars potentially leading to significant long-term returns [5][19]. - The cost of acquiring facial data has decreased significantly, with companies now able to purchase licensed faces for around $300 each, leading to a scalable and profitable business model [19][20]. Group 2: Risks and Ethical Concerns - Individuals who have sold their likenesses often face unexpected consequences, such as their digital avatars being used in ways they did not consent to, including promoting dubious products or political agendas [7][10][11]. - Contracts for selling facial rights are typically heavily skewed in favor of the companies, often including clauses for unlimited and irreversible usage, which can lead to significant personal and professional repercussions for the individuals involved [14][30]. - The rapid growth of this industry raises questions about the nature of personal identity and the ethical implications of treating human likenesses as digital assets that can be bought, sold, and exploited [30]. Group 3: Industry Landscape - The AI digital human sector is becoming increasingly crowded, with numerous players entering the market, including Synthesia, HeyGen, and DeepBrain, each targeting different applications such as corporate training and marketing [27][29]. - The business model of "selling faces" is seen as a win-win for both actors seeking quick income and companies looking to reduce costs and improve efficiency in content creation [27][30]. - Despite the ongoing risks and control issues, the underlying business logic remains clear and operational, with companies exploring ways to optimize their practices and mitigate potential fallout [30].