a month ago 5 min read

Will AI Blockchain Emerge In 2023 as Next Cryptocurrency Trend?

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Recently, the ideas of AI and blockchain have combined, making them tough to look for. Although though these two ideas are distinct, they might not seem unusual when combined, but since AI Blockchain is still a relatively new notion, not everyone is familiar with this development. So what precisely is AI in cryptocurrency? What is their origin? What advantages do they offer? Have they a future? Using the article we have today, let's learn more in depth.

What Are Blockchain and AI?

Artificial intelligence, or AI, is what it stands for. AI technology makes it possible to replicate human behaviors, learning processes, and mental processes in machines.

A sophisticated database system called blockchain technology allows for transparent information sharing inside a company network. Data is kept in blocks that are connected together in blockchain databases. Because to the inability to delete or amend the chain without network consensus, the data remains chronologically consistent. As a result, using blockchain technology, you may build an immutable ledger to record orders, payments, accounts, and other transactions. The system contains built-in safeguards that stop unlawful transaction submissions and ensure that the overall picture of these transactions is consistent.

AI Blockchain combines blockchain technology and artificial intelligence technology. The majority of the time, AI crypto projects are AI platforms that let users build and use AI-powered applications. As a result, users can develop and employ sophisticated algorithms to automate trading, manage cryptocurrency assets more effectively, and make better investment decisions.

What is the Origin of Trend AI Blockchain?

ChatGPT and OpenAi are the first two AI trends. Sam Altman is the CEO of OpenAI, which is regarded as a tycoon in the AI development sector. In 2015, this business unveiled ChatGPT, a bot that it had created. Yet ChatGPT was not made available until November 2022. With more than 1 million users since its debut, this AI chatbot system offers automated chat services with consumers. Microsoft recently revealed plans to invest $ 10 billion in ChatGPT.

The crypto community is interested in learning more about the ChatGPT artificial intelligence (AI) product that the OpenAI tycoon is developing and launching at the end of November 2022.

The most well-known AI products from OpenAI last year were the ChatGPT chatbot and the Dall-E 2 visualization software. In light of this, OpenAI can produce bots that aid in Web3 development in addition to producing attractive user interfaces.

The product, however, has received conflicting feedback, and customers did not have a great experience. Analysts nonetheless believe that this is a significant advancement and the foundation for many more future advances.

The announcement that Microsoft sought to spend $10 billion in OpenAI in exchange for a 49% ownership in the firm sparked the rise of the AI trend. Prior to this, in order to directly compete with rival Google, Microsoft invested $1 billion in OpenAI in 2019 and established itself as the chosen partner to commercialize innovative technologies for the Bing search engine and Microsoft Design design program.

This happening serves as a milestone for a recent development. Several AI-based cryptocurrency initiatives drew interest and funding right away. Particularly, in tandem with the bitcoin market's overall recovery, AI projects saw a significant uptick, thanks to several investors searching for patterns. Among the top prospects for 2023 are crypto and possible AI currencies.

The Advantages of Combining AI and Blockchain

Blockchain Improvements with AI

Mining cryptocurrency uses a lot of energy and processing resources. Distributed ledgers compromise efficiency while preserving features like censorship resistance and immutability. AI is highly good at minimizing energy use, which can be useful for enhancing mining algorithms.

The extraordinarily high energy requirements of blockchain systems are one of the key objections to their use. Computational activities that are not necessary are introduced by cryptoeconomics and security characteristics. Lowering the use of Proof of Work blockchains will be advantageous to the entire sector and can promote blockchain adoption in general.

With AI, blockchain's storage requirements can be reduced. The distributed ledger can expand quickly since the transaction history is stored across all nodes. The entry barrier increases with larger storage requirements, which may result in less network decentralization. Blockchains can become smaller and data can be stored on them more effectively thanks to new database partitioning techniques that AI can introduce.

Decentralized Data Economy

Data is a resource that is becoming more and more valuable and that must both be exchanged and stored safely. Data, which some blockchains can store with incredibly high dependability, is a critical component of effective AI systems.

A blockchain is simply a safe, distributed database that each network member shares. Each block that makes up its data is cryptographically connected to the block before it. This makes it possible to change data that has been saved without compromising network consensus, such as through a 51% attack.

The goal of decentralized data exchange is to establish a new data economy on the blockchain. Anyone (or anything) can access and store data thanks to these exchanges. AI algorithms can use a broader set of external input data and learn more quickly when they are connected to this data economy. Algorithms can also be traded in these markets on top of that. This can hasten their development and make them more approachable to a wider audience.

Data storage could undergo a revolution thanks to decentralized data exchange. In essence, anyone can charge a fee to rent out their local storage (paid in tokens). As a result, current providers of data storage services will need to enhance their offerings to remain competitive.

While being young, some of these data markets are already operational. AI systems will gain from encouraging data and storage providers to uphold high data integrity.

Monetization of Data

AI training calls for a lot of processing power as well as high-quality data from which algorithms can learn. Artificial neural networks are a form of computer system that are frequently used in AI algorithms (ANN). An ANN learns how to do things by studying several instances. These ANNs often need a lot of processing capacity to process millions of parameters in order to complete a given task.

Why not exchange processing power on a blockchain network if data can? In some blockchain implementations, users can share their computers' processing power with others on a peer-to-peer (P2P) marketplace in order to help them with computationally intensive tasks. As users offer their processing power, they receive tokens in return.
Using modern computer platforms, AI systems may be trained much more effectively and inexpensively. The primary application cases at first are those involving 3D computer graphics rendering, although they might eventually shift to AI.

Companies who provide computing power may face increased competition as these Decentralized Applications (Dapps) expand. Most of it will be used more effectively if people are given the option to make money by renting out their unused computing power. Every CPU or GPU in the world might theoretically function as a node in a decentralized supercomputer when not in use.

Verify AI Choices

Humans may find it challenging to comprehend AI decisions. These algorithms have access to a wealth of data that makes it impossible for a person to review and replicate their choices.

Decisions produced by AI systems can be more trusted if they are logged against each data point and subjected to a transparent human review procedure.


These are the shares we made on the blockchain and AI concepts. It is evident that a lot of AI Blockchain projects are currently being developed. It is true that they offer exceptional advantages when coupled in terms of information, storage, and verification. By utilizing blockchain technology and AI simultaneously, new breakthroughs can be found as both technologies advance.

It is challenging to predict the possible effects, but it is fairly certain that they will improve many facets of our economy. While AI Blockchain may become popular in the future, it might take some time before this technology reaches the general public, and especially cryptocurrency consumers.

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