Artificial Intelligence-Powered Tokens Show Resilience Amid Controversy


Artificial Intelligence-Powered Tokens Show Resilience Amid Controversy
courtesy of cointelegraph.com

Trading Volume of AI Tokens Remains Steady

Recent trading data from Kaiko reveals that artificial intelligence-powered tokens (AI tokens) have shown resilience in the face of controversy surrounding the launch of Worldcoin. Despite the buzz and concerns surrounding Worldcoin, the trading volume of AI-related tokens has remained stagnant in the past month. Last month, the trading volume of AI tokens reached approximately $870 million, up from $570 million in July. However, compared to the beginning of the year, there has been a significant decrease.

Enthusiasm for AI Tokens Declines

Analysts have observed a decrease in enthusiasm for AI tokens, particularly in July, due to a change in global risk sentiment. The total open interest for major AI tokens such as FET, GRT, RNDR, OCEAN, and ROSE has dropped from $170 million in February to $60 million in August, according to Kaiko data.

Worldcoin Debut and Recent Performance

Worldcoin (WLD) made its debut on July 24, 2023, causing a stir in the cryptocurrency community. The attention surrounding this crypto is largely attributed to its co-founder and CEO of OpenAI, Sam Altman. However, the current trading price of Worldcoin (WLD) has experienced a decline in the past 24 hours, resting at $1.09.

Worldcoin's Objective and Concerns

The primary objective of Worldcoin is to create a network consisting only of genuine individuals, excluding automated bots. The San Francisco-based firm plans to issue 'World IDs' to people worldwide, envisioning a future where individuals can interact with websites without revealing personal information such as names, phone numbers, or email addresses, through a "global identity verification" system. However, global regulators and privacy advocates have expressed significant concerns about the initiative. They point to a lack of clarity in Worldcoin's data gathering procedures, raising apprehensions about data privacy given the aggregation of extensive personal data by a single entity.






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