This paper investigates the risk spillovers among AI ETFs, AI tokens, and green markets using the R2 decomposition method. We reveal several key insights. First, the overall transmission connectedness index (TCI) closely aligns with the contemporaneous TCI, while the lagged TCI is significantly lower. Second, AI ETFs and clean energy act as risk transmitters, whereas AI tokens and green bond function as risk receivers. Third, AI tokens are difficult to hedge and provide limited hedging ability compared to AI ETFs and green assets. However, multivariate portfolios effectively reduce AI tokens investment risk. Among them, the minimum correlation portfolio outperforms the minimum variance and minimum connectedness portfolios.

AI tokens are gods crypto tokens related to a supposedly decentralized project that makes use of intelligent algorithms to perform some function. These projects are based on an intelligent algorithm that collects and processes news, or information, or other types of data, to make them available to users and companies that they pay for the service through the AI token on duty. In these systems there are actors who sell data and others who buy data, with the guarantee for all of a pseudo anonymity given by decentralized protocols. In practice the alleged blockchain platform is used for ensure the origin of the data processed by artificial intelligence, or to guarantee the pseudo anonymity of the users who upload the information or who use it for a fee paid with the AI token. Some of these tokens are tied to real ones public marketplaces where you can sell and buy data processed by AI.

Year in, and year out, there is a new technological trend moving ahead of the curve. And in recent years, we’ve seen the crypto market fill this spot through various innovative projects, features and functionalities worthy of all the buzz. However, with the bear rally affecting the crypto market cap in 2022 and the emergence of mind-blowing AI technologies, there is another wave of ricochet building globally. That new wave is AI technology. The possibilities of Artificial intelligence are endless, and that’s evident in some recent projects we’ve seen. One major one is Chatgpt, the famous chatbot launched by openAI in 2022. It…

The growth experienced by the technological age has been unimaginable, with blockchain and artificial intelligence (AI) playing a huge part in recent times as the hype surrounding the emergence of AI becomes so much interest for many. Artificial intelligence and blockchain can bring so much growth and opportunities. Still, in the long run, many are skeptical of how the emergence of AI will affect so many daily activities and render some jobs irrelevant. Recently, there has been so much debate on how harnessing the ideas of artificial intelligence and blockchain technologies would bring extensive growth and opportunities to the blockchain space as its technologies aim to cut across Metaverse, gaming, and Non-fungible Tokens (NFT), and decentralized Identity. Let's focus on some of these AI tokens and how they have implemented some great ideas in the blockchain space.

Not too long ago, crypto, blockchain and web3 were incessant buzzwords that seemed to gain more traction each day. Traders scooped up digital currencies at soaring prices. Venture capitalists poured billions of dollars into nebulous startups raising funds at epic valuations. Companies like Nike, Starbucks and even RadioShack tried to glom on to the crypto craze with NFT offerings. But following a series of scandals that culminated in the spectacular implosion of crypto exchange FTX, coin prices have plummeted from their all-time highs, VC funding for digital asset startups has dramatically declined and NFTs sales remain far below their previous record-setting heights.

By Nidhi Bhardwaj: Artificial intelligence (AI)-related cryptocurrency tokens saw an increase in prices after OpenAI's ChatGPT was initially made available on 30 November last year, revealed a recent report from CoinGecko, a crypto analysis platform. After OpenAI debuted the premium version of ChatGPT on 11 January, the move rekindled the investor's interest in AI chatbots and led to a positive shift in the prices of AI tokens once more after ChatGPT's launch. Recent data from CoinGecko also showed that the AI tokens like SingularityDAO (SDAO) and Artificial Liquid Intelligence (ALI), have also experienced consistent rises over the past month. While comparing the prices of AI tokens from 13 February 2022 to 30 November 2023, an increase of value by 16 times was recorded. This surge was directly related to growing investors' interest in the AI narrative, the report highlighted.

AIPAD.TECH, is an example of a decentralized AI launchpad that launches AI tokens, allows businesses and organizations to develop, test, and deploy AI models in a decentralized manner, and also mint, distribute and trade AI tokens. These tokens represent a certain AI model, algorithm or dataset and can be used to buy and sell access to them. For example, a company that specializes in image recognition technology could use AIPAD.TECH to mint tokens that represent their AI model. They could then sell access to the model by distributing these tokens to other businesses or organizations. These businesses could then use the tokens to access the image recognition technology and integrate it into their own systems.