This Startup Is Trying to Make Peace Between AI Companies and Creatives

Why It Matters

Clear, pre‑negotiated licensing could curb costly copyright disputes and give creators a revenue stream as generative AI scales.

Key Takeaways

• Anthropic paid $1.5 billion to settle copyright lawsuit over 500k books
• Grammarly’s parent Superhuman faces lawsuit for AI mimicking journalists without consent
• Created by Humans aims to license author rights for AI training
• Major publishers launched joint initiative requiring consent and compensation for AI use
• U.S. Copyright Office’s AI report stresses need for clear generative‑AI training rules

Pulse Analysis

The rise of generative AI has exposed a legal gray zone where tech firms scrape massive text corpora without clear permission. Recent high‑stakes litigation—most notably Anthropic’s $1.5 billion settlement—demonstrates that the cost of retroactive licensing can quickly eclipse the benefits of unregulated data harvesting. For AI developers, the uncertainty hampers model training pipelines and raises compliance risk, prompting a search for systematic solutions that balance innovation with intellectual‑property rights.

Enter Created by Humans, a venture that leverages Trip Adler’s experience at Scribd to create a marketplace for AI‑ready licenses. By aggregating author, publisher, and agent permissions into a single, negotiable contract, the platform promises to eliminate the need for AI firms to chase down millions of individual agreements. This model not only streamlines the onboarding of high‑quality, legally vetted content but also establishes a transparent royalty framework, turning what was once a legal liability into a recurring revenue stream for creators.

The broader industry is taking note. Five of the largest U.S. publishers have announced a unified stance that mandates consent, disclosure, and standardized compensation for any work used in AI training. Coupled with the U.S. Copyright Office’s evolving AI reports, these moves signal a shift toward formalized governance of generative‑AI data. Companies that adopt clear licensing early will likely gain a competitive edge, while those that ignore the emerging standards risk costly lawsuits and reputational damage.