Former CEO of cryptocurrency derivatives exchange BitMEX and current Maelstrom family office manager Arthur Hayes shared with his blog readers a suggestion that bitcoin, with its inherent anti-censorship nature and limited supply, could be an ideal asset to use in artificial intelligence (AI) systems.<br
According to Hayes, the cost of AI services is directly related to the computing power consumed. In this case, bitcoin can act as a monetary equivalent, the closest in representation to the cost of pure energy. Because the value of VTS is inextricably linked through mining to the cost of electricity, it will be able to provide efficient and predictable value retention for AI systems over time.
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“AI will need a digital payment system that is resistant to censorship, with clear and transparent rules that apply regardless of who makes the transactions or what is paid for on the network. Bitcoin is resistant to censorship because the only way to change the rules is to submit a public proposal to the entire network and pass a majority decision. Proven scarcity and resistance to censorship gives the VTS an advantage for use in AI-based technologies over other forms of assets,” Hayes wrote.
Hayes predicts that the AI economy could account for 5% to 50% of global GDP in the next two to three years, laying the groundwork for a potential $760,000 increase in the value of VTS.
Earlier, Lightning Labs, the company behind the Level 2 Lightning Network solution, unveiled a set of tools that will make it easier for AI systems to work with the Bitcoin blockchain and the Lightning Network itself.