来源丨AI故事计划（ID：AIstory1） 作者丨 江畔 图源丨Midjourney 以下文章来源于AI故事计划 ，作者江畔 AI故事计划 . 人在AI时代的命运。这个编辑部致力于记录AI时代的真实故事。 过去两年间，从广告到游戏、从有声书到短剧，AI配音正以惊人的速度席卷着整个行业。 它更快、更听话，也成本更低廉。 那些原本靠"声音吃饭"的人，不得不在AI浪潮中重新定义自己的价值。 客户几乎没了 样片交付只剩最后几天，纪录片导演Helen却被配音卡住了。 今年3月，她为一位教育戏剧界的前辈制作一部传记片。项目收尾阶段，她需要把45分钟的片子压成 五分钟的精华。 片里的老人已八十多岁，每一帧都浸着几十年舞台经验，每句旁白都必须凝练、稳当，才能撑住他的 一生。 Helen找了几家配音公司，但收到的样音总让她沮丧。要么声音太年轻，缺少岁月的层次；要么情绪 太满，破坏了老人的沉静气质。 "好的配音应该融进画面，他们给的却像两张皮。"她反复听样音，越想越焦灼。 眼看交期逼近，剪辑师提醒她："要不要试试AI？" 出乎意料，AI生成的效果令Helen大为惊艳，停顿、重音、情绪起伏都恰到好处，甚至比先前的人工 录制更贴近 ...

Core Insights - The article highlights the shift in consumer expectations for smart home technology from mere convenience to a focus on "trustworthy intelligence" that ensures data security and ethical standards. [1][3] - Haier's Three Wings Bird platform has achieved a significant milestone by obtaining the ISO/IEC 42001 certification for artificial intelligence management, becoming the first company in the smart home sector to hold this compliance "pass." [1][2] Summary by Sections - **AI Governance Capability**: Haier's Three Wings Bird has established a comprehensive management system that integrates the ISO/IEC 42001 standard across all applications, including AI voice, AI vision, and health preservation models, ensuring compliance at every stage from design to operation. [1] - **Holistic Protection Network**: The certification extends beyond the platform to include core smart appliances like refrigerators, washing machines, and televisions, providing consistent safety assurances for users whether they use individual products or a complete smart home setup. [2] - **User-Centric Compliance Design**: The platform's compliance design caters to user needs, such as adjusting lighting based on environmental data without collecting personal behavior data, making "trustworthy intelligence" a tangible and reassuring experience for users. [3] - **Strategic Advantage**: The certification positions Haier's Three Wings Bird favorably in the international market, especially with the emergence of regulations like the EU's Artificial Intelligence Act, allowing the company to lead in compliance and innovation. [3] - **Industry Competition Evolution**: The article notes a shift in the competitive landscape of the smart home industry from a focus on technical specifications to a broader competition that includes safety, trust, and sustainability, with Haier setting a benchmark for transitioning from "functional intelligence" to "trustworthy intelligence." [3]

Core Viewpoint - The rise of AI-generated content poses legal and ethical challenges, particularly regarding voice imitation and potential misuse for scams [1][2] Group 1: Legal and Ethical Concerns - Unauthorized use of individuals' voices for AI-generated content infringes on their rights, highlighting the need for regulation [1] - AI-generated voices can be exploited for fraudulent activities, such as scam calls and child abduction schemes, raising significant safety concerns [1] Group 2: Regulatory Measures - The implementation of the "AI Marking Method" in September mandates that all AI-generated content must be labeled, enhancing public awareness and safety [1] - The requirement includes specific labeling for AI-generated audio, which can serve as a tool for fraud prevention [1] Group 3: Industry Compliance - Initial tests revealed that some applications failed to comply with the new AI labeling regulations, but subsequent checks showed improvements in compliance across most applications [2]

Core Viewpoint - The current era is considered the most favorable time for AI entrepreneurship, according to OpenAI CEO Sam Altman, despite a significant number of AI projects failing or disappearing from the market [4][6]. Group 1: AI Project Failures - As of July 2025, 1,289 out of over 5,000 AI projects tracked by AI Graveyard have been closed, acquired, or shut down, indicating a high failure rate in the AI startup ecosystem [6][7]. - The number of failed AI projects has increased from around 700 in June 2024 to nearly 1,300 in 2025, with over 200 projects shutting down in the first half of 2025 alone, averaging one project per day [6][7]. - The categories of failed AI projects are diverse, ranging from simple plugins to comprehensive productivity tools and general AI assistants [8]. Group 2: Categories of AI Projects - The failed AI projects can be roughly categorized into three types: - Text-based products, including chatbots and AI writing tools, which account for approximately 26% of the total [12][13]. - Multimodal products, such as AI-generated images and videos, making up about 21% [13]. - Other applications, including AI programming and low-code solutions, which represent around 53% [13]. - AI writing tools and chatbots are particularly noted as high-risk areas for startups, with 14% and 8% of the failed projects in these categories, respectively [12][13]. Group 3: Market Dynamics and Trends - The intense competition in the AI startup space has led to inflated expectations for AI tools, contributing to a challenging environment for new entrants [18]. - Many projects that enter the "AI graveyard" are not necessarily failures but may have been acquired or integrated into larger platforms, suggesting a different narrative around their disappearance [19][20]. - The challenges faced by AI startups often stem from a lack of clear product-market fit, execution difficulties, and the need for a more focused approach to user needs and business models [22][23]. Group 4: Future Opportunities - Despite the high failure rate, the ongoing evolution of AI capabilities and the emergence of new product forms indicate that opportunities for innovation still exist in the AI sector [25].