New research from Ziff Davis reveals that OpenAI, Google, Meta, and Anthropic rely heavily on top-tier publishers like The New York Times, The Wall Street Journal, and The Washington Post to train their AI models. They’ve intentionally filtered out low-quality content to prioritize high-quality, human-created material. Makes sense—AI models perform better when built on solid foundations. But here’s the issue: While AI companies enjoy massive valuations, many publishers are left uncompensated, battling copyright disputes, or worse, facing layoffs. This dynamic raises thorny questions for media and tech: - How can publishers ensure fair compensation? - Will AI companies improve transparency so consumers know where their AI-generated answers come from? - What’s the future value of premium content in a world flooded with AI-generated text? AI innovation isn’t slowing down, but this tension is already reshaping how content is valued, shared, and monetized. What’s your take? Read more: https://lnkd.in/ew9rRMZs
