AI Expert: The Next AI Gold Rush Has Started

AI Expert: The Next AI Gold Rush Has Started
The Next AI Gold Rush Has Started

As artificial intelligence becomes increasingly dependent on high-quality data, a growing debate has emerged around ownership, attribution, and the economic value generated by data contributors. While most AI platforms rely on centralized repositories and proprietary systems, a new generation of blockchain-powered AI infrastructure projects is attempting to create transparent and verifiable markets for data, models, and AI applications.

In this presentation at Tokenized Capital Summit 2026 Hong Kong, the founder of an AI infrastructure platform outlines a vision for decentralized AI development built around data ownership, on-chain attribution, and transparent reward mechanisms. He explains how blockchain technology can be used to coordinate data contributors, train specialized AI models, and create economic incentives for participants across the AI value chain.

Keynote speaker:
• Ram Kumar, Co-Founder of OpenLedger

They discuss:
• Why data ownership is becoming one of the most important issues in the future of artificial intelligence
• The limitations of centralized AI and data platforms when it comes to attribution and contributor rewards
• How traditional AI marketplaces often fail to compensate users directly for the data they provide
• The challenge of verifying data provenance and contribution history within centralized systems
• Why blockchain infrastructure can provide transparent and auditable attribution mechanisms for AI training data
• The concept of proof-of-attribution as a foundation for decentralized AI ecosystems
• How on-chain verification enables contributors to track and validate the value of their data
• Why transparent reward systems may create stronger incentives for large-scale data contribution
• The vision of building a foundational infrastructure layer for AI agents, applications, and specialized models
• How decentralized AI platforms can enable anyone to participate in data collection and model creation
• The role of community-driven datasets in training domain-specific artificial intelligence systems
• Why specialized AI models may outperform general-purpose models in many vertical markets

00:00 Intro
00:08 Why AI Data Should Be Owned
03:38 Building the App Store for AI Models

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Music provided by Soundridemusic
Watch: https://www.youtube.com/watch?v=y5gkdmmnRls&t=6s

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