惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Microsoft Security Blog
Microsoft Security Blog
Apple Machine Learning Research
Apple Machine Learning Research
美团技术团队
WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
G
Google Developers Blog
阮一峰的网络日志
阮一峰的网络日志
The Cloudflare Blog
J
Java Code Geeks
Martin Fowler
Martin Fowler
M
MIT News - Artificial intelligence
IT之家
IT之家
博客园 - 三生石上(FineUI控件)
月光博客
月光博客
Google DeepMind News
Google DeepMind News
小众软件
小众软件
V
V2EX
Hugging Face - Blog
Hugging Face - Blog
爱范儿
爱范儿
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Jina AI
Jina AI
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
腾讯CDC
B
Blog

HBR.org

How People Actually Get to the C-Suite in S&P 500 Companies Our Favorite Management Tips on Giving Feedback The Case for Hiring a Chief Resilience Officer What Customer Workarounds Can Reveal About Your Business Model Getting Buy-In for Your Next Big Idea Surprising Ways to Reduce Turnover in High-Pressure, High-Skill Jobs “Listen for the Silence”: Insights from a Long-Serving CEO Supporting Your Employees’ Career Growth When Everyone Is Overwhelmed What Really Gets in the Way of Change How Stronger Privacy Laws Convinced Consumers to Share More Data How to Break Free of Negative Thought Spirals A Breakthrough Board Presentation Can Win You the CEO Job The Keys to Succeeding Under a New Manager Do You Recognize Burnout in Your Organization? Should Your Subscription Business Use Auto-Renew? Gen AI Could Fix Performance Reviews—or Make Them Even Worse What Operating Rooms Can Teach Leaders About Team Design What Global Companies Lose When Decision-Making Revolves Around Headquarters Redefining What Efficiency Means in the Age of AI It’s Hard to Use AI as a Team. These 3 Practices Can Help. Are You Meeting the Needs of the People You Lead? Beware the Agentic Convergence Trap Should You Treat AI Like a Teammate? Research: Traditional Marketing Doesn’t Work on AI Shopping Agents The Leadership Skills That Make Transformation Stick Microsoft’s Path to Adopting and Scaling AI Across its Sales Organization Why Leaders Should Let Minor Mistakes Slide What Are Your Company’s AI Nightmares? “Cyber Defense Has to Move at the Speed of AI” How Fast-Growing Companies Can Make Better Decisions
How AI Companies Can Pay Fair Rates for the Content They ...
by E. Glen Weyl and Raul Castro Fernandez · 2026-06-15 · via HBR.org

dene398/Getty Images

Frontier AI models are trained on the accumulated digital output of humanity, which AI companies acquired essentially for free. This is a problem for both AI companies and content creators. For AI

The fight over the data that trains artificial intelligence has become one of the defining economic conflicts of the decade. Publishers, authors, and visual artists argue that their work was taken without permission or payment. AI companies counter that training on available data constitutes fair use and that even if a market in data were desirable, compensating millions of creators is technically impossible: the cost of figuring out what any given piece of data is worth, researchers have argued, would swallow most of the value that data creates in the first place.