Decentralized AI Creates Real Value, Kava Labs Co-Founder Says Amid NFT Hype

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AI Tokens Show Potential for Longevity Beyond Trends

Scott Stuart, co-founder of Kava Labs, asserts that artificial intelligence tokens are poised for long-term success, unlike the transient nature observed with non-fungible tokens (NFTs). In a recent conversation with CoinDesk, he remarked on the initial wave of AI projects, highlighting examples like Fetch, which proposed mergers but failed to deliver tangible outcomes, and projects such as Virtuals and AI16z that experienced dramatic declines in value after initial success. “It was an unhappy outcome,” Stuart expressed, reflecting on the volatility within the sector.

Market Performance of AI Tokens

Recent market analysis indicates a steep decline in the value of certain AI-related tokens since the start of the year. The Virtuals Protocol’s native token has plummeted by nearly 85%, while Fetch.ai’s token has seen a drop of 60%. Conversely, KAVA, Kava Labs’ token, has performed relatively well with only a 5% decrease, outperforming the CoinDesk 20 index, which has fallen by 29%.

Kava’s Strategic Shift to Decentralized AI

Initially recognized for its decentralized finance (DeFi) offerings based on the Cosmos network, Kava has shifted its focus towards decentralized AI to differentiate itself during a period of consolidation in the cryptocurrency market. This transition has enabled Kava to roll out its Kava AI platform and marketplace, including a blockchain-native chatbot similar to ChatGPT, which utilizes DeepSeek’s R1 large language model, as well as the autonomous AI agent Oros and decentralized GPU infrastructure.

Decentralized AI’s Value Proposition

Stuart believes that this strategic pivot was essential as altcoins struggle to maintain relevance without a strong narrative. He emphasizes that decentralized AI’s clear utility and value proposition provide it with a level of resilience that speculative trends like NFTs lack. “Unlike speculative bubbles such as NFTs, decentralized AI’s fundamental utility ensures its resilience,” he stated, contrasting the volatility of meme-based trends with the stability offered by meaningful technology.

Building Transparent AI Infrastructure

Kava Labs is committed to developing a decentralized AI infrastructure that prioritizes auditability, transparency, and open-source principles. Given its recent performance in a challenging market, the company clearly seems to be heading in a promising direction. Stuart commented on the nature of AI technology, noting that it often serves as a mechanism for corporations to present information and can be manipulated in ways that are not always visible to the end user.

Concerns Over Closed-Source AI

He also raised significant concerns about the implications of closed-source AI systems, which can modify their models in undisclosed ways, potentially prioritizing corporate or governmental interests over individual user benefits. Simon Kim, CEO of Hashed, echoed similar sentiments in a prior CoinDesk interview, likening closed-source AI to a machine that has achieved a god-like status, with its operations remaining largely opaque yet critical to societal functions.

Kava’s Commitment to Openness

In contrast, Kava Labs advocates for an “open-weight” methodology, enabling verification of AI model parameters akin to Ethereum’s transparent smart contracts. Stuart highlights the growing importance of AI transparency, particularly in light of regulatory perspectives that view it as a strategic asset for the U.S. He sees an opportunity to construct a decentralized AI infrastructure that is distinctly “made-in-the-U.S.A.” and supported by open-source funding initiatives.

The Future of AI: A Decentralized Vision

Stuart perceives a shift in policy direction that favors domestic infrastructure development, contrasting it with previous trends of offshoring. “Now it seems they’re serious about reversing that, and we’re using this shift as an opportunity to strengthen U.S.-based infrastructure,” he noted. He concluded by asserting that the future of AI should not be under corporate dominance but rather should be characterized by openness, transparency, and decentralization, with Kava positioning itself at the forefront of this evolution.