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In a recent video, Altcoin Daily, a well-known crypto analyst YouTube account, highlighted the top cryptocurrencies that will be instrumental in the rapidly expanding field of artificial intelligence (AI).
The video presented first addressed the view of renowned crypto figure Arthur Hayes who asserted that Bitcoin would be the go-to currency for AI. According to Hayes, AI necessitates a digital, automated, and censorship-resistant payment infrastructure, which traditional banking and fiat currencies fail to deliver.
According to Altcoin Daily, Ethereum’s programmability positions it as a strong contender in the AI industry, with several promising options emerging in the Ethereum ecosystem, such as Optimism (OP) and Polygon (MATIC).
The analyst highlighted that Optimism, a technology utilized by Coinbase’s Ethereum 2 Network, aims to enhance scalability and provide unified liquidity across Ethereum scaling networks. Additionally, while noting that Polygon was initially conceived as a side chain, Altcoin Daily demonstrated that Polygon has grown to become a formidable player in the layer two space.
In the quest for an ideal base layer specifically designed for AI, Altcoin Daily also noted that the possibility of the Avalanche (AVAX) blockchain making a significant impact must be considered. It said Avalanche had attracted major companies like Alibaba, which is building a metaverse launchpad and exploring other ventures on the Avalanche blockchain.
Furthermore, the analyst spotlighted Cardano (ADA), Solana (SOL), Litecoin (LTC), and Fantom (FTM) as contenders in the AI field. Altcoin Daily disclosed that Fantom’s development team takes an evidence-based approach to address blockchain bottlenecks, L2 solutions, and sharding. Fantom is an Ethereum-compatible blockchain for low time to finality, low gas costs, and strong scalability.
The market analyst theorized that Fantom would be at the forefront of the AI revolution by improving blockchain technology’s scalability, energy consumption, security, complexity, and interoperability.
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