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n a recent interview on CNBC's "Squawk Box," Palantir Technologies co-founder Joe Lonsdale made an interesting statement about the future of artificial intelligence (AI) and its potential usage of cryptocurrencies. Lonsdale asserted that AI agents will "probably" use crypto when making transactions. This statement raises intriguing questions about the intersection of AI and the crypto market.

A robot seeing bitcoin
AI will probably use Crypto

The Potential Influence of AI on Crypto Market Dynamics

During the interview, Lonsdale responded to the suggestion that early investors in Bitcoin made a wise move by entering the market at its early stages. He mentioned the potential emergence of an unexpected buyer: autonomous AI agents. According to Lonsdale, AI agents that coordinate with incentive systems are likely to use cryptocurrencies. He emphasized the role of AI agents in various consumer areas and how it could impact the crypto market.

The Preference of AI Agents for Specific Cryptocurrencies

When asked about which cryptocurrencies AI agents would likely use, Lonsdale mentioned Ethereum and Solana as potential choices. He suggested that these cryptocurrencies, along with Bitcoin, are likely to be correlated in the end. This observation highlights the importance of understanding the preferences of AI agents when it comes to crypto transactions.

The Advantages of AI and its Potential Impact on Profit Margins

Lonsdale also discussed the tangible advantages of AI. He specifically pointed to the healthcare billing sector, where AI has the potential to double profit margins. This means that AI could significantly reduce spending in this area, leading to a more efficient and cost-effective healthcare system.

The Convergence of AI and Crypto according to Grayscale

Grayscale, a leading crypto asset manager, has also weighed in on the growing convergence between AI and crypto. In a recent study, the company highlighted the potential benefits of the relationship between artificial intelligence and cryptocurrencies. They suggested that this convergence could help mitigate future societal challenges related to AI, such as deepfakes, data privacy concerns, and the concentration of power.

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