TIDAL 打击 AI 音乐,切断变现渠道
评分
51精选理由
TIDAL 的举措是行业对 AI 音乐变现问题的首批明确反应,具有先导意义,但影响范围限于单一平台。
AI 点评
「该政策可能改变流媒体行业对 AI 音乐的态度,保护人类创作者的收益和创作环境。」
速览
TIDAL 宣布新政策,禁止 AI 生成音乐在其平台上获得收益。此举旨在维护音乐创作的原创性和艺术价值,防止 AI 工具滥用导致的版权和真实性问题。TIDAL 成为首个明确拒绝 AI 音乐变现的主流流媒体平台,引发行业讨论。
- TIDAL 新政策禁止 AI 生成音乐赚取版税
- 政策适用于所有通过 AI 工具生成的曲目
- TIDAL 强调支持人类艺术家和原创内容
- 其他平台可能效仿类似措施
正文
Music streaming service TIDAL is the latest to take aim at AI-generated music with the introduction of a new policy that will prevent fully AI-generated music from making money on its platform. In addition, TIDAL will use automated tools to remove AI-generated music that attempts to impersonate an artist or a group, the company said.
“We are committed to protecting and rewarding organic creativity to avoid compromising an artist’s ability to connect with and build their fandom from TIDAL subscribers. Many have told us they do not want to be exposed to — or prompted to listen to — wholly AI-generated music,” wrote Tony Gervino, TIDAL EVP and editor-in-chief, in an announcement.
He clarified that TIDAL’s new policy was not meant to “bash technological advancement,” but rather focuses on protecting and rewarding “organic creativity” from artists.
With the changes, fully AI-generated music on TIDAL will be identified and tagged as such, allowing listeners to see an “AI” badge next to any tracks deemed to be 100% AI. These tunes will not be able to be monetized or collect royalties, and will not be eligible for direct-to-fan sales, the company noted.
TIDAL’s policy joins others in the streaming music space, where services like Spotify, Apple Music, Deezer, and Qobuz have developed their own policies to address the growing number of AI-generated tracks filling their services. Spotify last year revamped its policies to label AI music and better filter spam, while still acknowledging that AI tools would be used in the music-creation process to varying degrees. Apple Music also took the tagging approach.
Deezer, which said that 44% of all new music uploaded to its platform daily is AI-generated, has taken a tougher position. It actively removes AI tracks from recommendations and excludes them from editorial playlists. It also offers its AI-detection technology to rivals and provides a consumer-facing tool that lets you see if AI music has slipped into your playlists on competing services.
TIDAL’s policy could be an interesting test to see if demonetization could be the thing to slow the deluge of AI music, which many listeners aren’t interested in.
“Regardless of what you are reading elsewhere, AI’s takeover of the music industry (and your recommendations) isn’t inevitable if we take even greater steps now to monitor and control it,” noted Gervino.
The company said the new policy is a “living document,” meaning it’s open to changes as the space evolves. It goes into effect on July 15, 2026.
Topics
AI, ai music, Apps, Media & Entertainment, Music, streaming music, tidalWhen you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Sarah Perez
Consumer News Editor
Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software.You can contact or verify outreach from Sarah by emailing sarahp@techcrunch.com or via encrypted message at sarahperez.01 on Signal. View Bio
November 4
Boston
Last chance to save up to $190 on TechCrunch Founder Summit. Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle.
Savings end June 26, 11:59 p.m. PT.
Most Popular
-
Chevy built an all-American EV truck — why is nobody buying it?
-
Mark Zuckerberg tells staff that AI agents haven’t progressed as quickly as he’d hoped
-
Jersey Mike’s IPO illustrates how bad the AI hype has become
-
After $18B IPO, Bending Spoons founder says success comes from minimizing luck
-
-
-
Flipper Device’s new Busy Bar is a customizable display for productivity
相关条目
89
精选OpenAI研究:AI正在重新定义工作边界
如果你关心AI对实际工作的影响,这篇研究不容错过。它不讨论理论,而是用数据展示ChatGPT用户如何使用AI扩展自己的任务范围,这对HR、管理者以及每个希望提升技能的职场人都有直接启发。
87
精选OpenAI CFO 分享构建 AI 原生财务职能的五大经验
作为编辑,我认为这篇文章的价值在于它来自 AI 领军企业的财务一把手,而非外部咨询机构,因此更具实践参考性。推荐给财务数字化负责人、CFO 以及对 AI 转型感兴趣的从业者阅读。
87
精选智能体AI时代下的科学计算:OpenAI发布新领域报告
这份报告是当前AI agent热潮中最务实的应用分析之一,尤其适合计算生物学和药物研发领域的从业者阅读。它回答了“AI agent除了写代码还能干什么”这个关键问题,直接展示了在复杂科学计算中的生产力提升。
87
精选Real World VoiceEQ:量化语音AI的人类自然度
值得关注的是,这个基准真正聚焦'人类自然度'这个软指标,而不是传统的语音识别率或MOS评分。对从事语音合成、语音克隆或语音交互的团队来说,这是一个非常实用的参考工具,可以快速定位模型在情感、韵律等层面上的不足。不过目前支持语言有限,期待后续扩展。
85
精选OpenAI 推出AI时代记分卡:衡量投资回报的新方法
这篇博文直击当前AI行业的软肋——如何量化投入产出。对于正在或计划大规模部署AI的企业决策者而言,它能帮助避免盲目跟风。我个人建议结合自身业务场景尝试定义“有用工作”,避免指标设计流于形式。
85
精选代理时代如何管理AI投资:聚焦每美元有用功与高价值工作流
这篇文章对正在大规模部署AI代理的企业尤为重要。它提醒我们:单纯盯着API价格下降会陷入误区,真正要管理的是每单位工作的投资回报率。建议CTO和CFO联合阅读,并在内部建立量化评估机制。
85
精选设计能跟上AI的组织:组织延迟成为最大障碍
这篇文章真正值得关注的是提出了一个被忽视的瓶颈:技术再强,组织跟不上也是白搭。对CTO、CIO和转型负责人来说,这是比技术选型更重要的思考框架。
84
精选OpenAI宣布与美国能源部和国家实验室合作,推动前沿AI加速科学发现
这不仅是技术合作,更是AI国家战略的里程碑。对关注AI政策与科学创新的读者,值得细读框架设计。