Content Tokenization Could Be the Next Biggest AI Trend 🦾 Experts from @iotex_io, @o_fndn & @ar_io_network explain that decentralized tools could offer greater transparency, fairness, and control for content creators. Will tokenization and DAOs reshape the future of AI training data? 👇

1/ NYT–Amazon Licensing Deal Major media orgs like The New York Times now sign licensing deals with AI giants safeguards IP, opens a new revenue stream, and gives AIs access to trusted content.

2/ The Rise of Licensing Deals AI firms are racing to secure data while avoiding lawsuits. “In recent years, many big tech projects have encountered numerous legal challenges and fines. For example, Google has faced over €8 billion in fines from the EU in the past decade due to poor data practices,” -Ahmad Shadid, CEO of @o_fndn

3/ Can Decentralization Bring Transparency? What if licensing wasn’t private, but public, automated, and open to all? “Smart contracts can enforce terms and automatically handle payments. This makes it easier for independent creators or smaller organizations to participate. It also creates more transparency around who’s using the data and how,” said @DePIN_aaron of @iotex_io

4/ Securing Intellectual Property Through Blockchain Blockchain and watermarking can protect content from theft and misuse. “Watermarking tools play a key role in preventing copyright infringement, data theft, and wrongful claim of ownership... These techniques bring a tougher game for the data thieves and hackers in order to provide data integrity, fairness, and ethics,” Ahmad Shadid CEO of @o_fndn

5/ Licensing vs. Decentralization: Which Model Will Shape AI’s Future? Opaque licensing deals may patch legal gaps but they still leave creators in the dark. “Closed models win short-term sprints. Decentralized models win the marathon. Trust reigns supreme alongside transparency and auditability,” said @ar_io_network’s founder Phil Mataras.

The future of AI isn’t just about better models — it’s about better systems. Will content creators embrace tokenization and DAOs or stay sidelined by closed AI? Read @c_grigera's full report here 👇🏻