AI Tokens To Democratize Access to AI Models

Decentralized AI

The global AI market is set to soar to $1,057.47 billion by 2030, fueling a surge in AI-related stocks like Nvidia, which has seen a staggering 1,900% increase in shares over the past five years. Despite this growth, challenges persist in the centralized nature of AI, prompting calls for decentralized solutions. Dan Thomson, CEO of Sensay, advocates for AI tokens to democratize access to AI technology, while John Arrow, Co-Founder of FreedomGPT, highlights their role in incentivizing user participation and powering decentralized AI networks.

A Centralized Industry Sees Growth

Artificial Intelligence (AI) is poised to become one of the most transformative technologies of the
century, with the global AI market projected to reach approximately $1,057.47 billion by 2030,
according to a report from This potential has led to significant growth in AI-
related stocks, with companies like Nvidia seeing their shares surge by nearly 1,900% over the past
five years.

However, despite these advancements, AI remains highly centralized, presenting challenges such as
high entry barriers, including the need for substantial computational resources, specialized
knowledge, and concerns about data privacy. Dan Thomson, CEO and Founder of Sensay, a
blockchain-based AI project, highlights these challenges and emphasizes the need for decentralized AI
solutions to address them.

Utility of AI Tokens

Thomson explains that AI tokens, which are assets tied to AI services or platforms, can democratize
access to AI technology, fostering innovation and inclusivity in its development and application. These
tokens facilitate transactions, access to services, and incentivize behaviors within AI-driven
ecosystems. For example, Sensay’s AI token allows users to access the platform, pay for services, and
participate in the development of AI models.

John Arrow, Co-Founder of FreedomGPT, further elaborates on the utility of AI tokens, which can also
act as rewards for user participation in advancing AI ecosystems. FreedomGPT’s token, the “freedom
network token,” is used to reward users for providing computing power to run AI models on a
decentralized network.

“This could range from activities like incentivizing users to provide Real Life Human Feedback (RLHF) for a new LLM, to rewarding users who make their computer available for running AI inference,” said Arrow.

He elaborated that FreedomGPT’s token – known as the “freedom network token” – will help the platform run on a completely decentralized computing network.

“FreedomGPT previously had its centralized web hosting canceled due to some of our AI Models giving unbiased answers,” said Arrow.

Increased Demand for AI Tokens

As AI projects gain popularity, Arrow predicts an increase in the development of AI tokens. He
believes that as AI continues to advance, traditional finance ecosystems will be pressured to allow
payments for censor-free and private AI companies. Some crypto exchanges have already reported
significant increases in trading volume for AI tokens.

Despite the potential for growth, challenges such as regulatory concerns and the need to replace the
economic role of advertisers may slow adoption. However, Thomson envisions a future where AI
tokens facilitate decentralized AI markets, enabling individuals and businesses to securely buy, sell, or
trade AI services and data.

AI tokens hold the promise of democratizing access to AI technology and driving
innovation in its development and application. While challenges remain, the intersection of AI and
blockchain technology presents opportunities for transformative change in various industries.

Author: Grace

Grace likes gardening. She holds some BTC and ETH.