The $20 Trillion Economic Opportunity of AI and Blockchain Integration

Updated
April 15, 2025
Gambar The $20 Trillion Economic Opportunity of AI and Blockchain Integration

Jakarta, Pintu News – In the latest episode of Ripple’s Block Stars podcast, Ripple CTO David Schwartz and AWS Senior Solutions Architect Dimitri Restaino discuss the potential integration between artificial intelligence and blockchain.

They revealed that the combination of these two technologies could unlock $20 trillion worth of economic opportunities across various sectors by 2030. The discussion delved deeper into how AI can enhance blockchain and vice versa, promising innovations that can transform various industries.

AI and Blockchain Interaction

Restaino explained that at first glance, AI and blockchain seem like two contradictory technologies. AI focuses on automation and intelligent decision-making that is often invisible, while blockchain emphasizes openness and data security. However, these two technologies turn out to be complementary.

Blockchain provides a secure and immutable database, which is very useful for AI systems to use high-integrity datasets that are secure and verifiable. AI, on the other hand, drives blockchain progress by enhancing functionality in content generation, customized experiences, and non-fungible tokens (NFTs).

Large language models (LLMs) developed with AI can facilitate the use of blockchain data, such as identifying crypto transaction trends and suggesting related accounts that use available blockchain data.

Read More: Market Volatility: Mantra Token Plummets 90% in an Hour, Here’s the Explanation

The Role of AI in Blockchain Data Analytics

Restaino gave a concrete example of the influence of AI in blockchain analysis. Today, users can ask advanced questions about blockchain in natural language without the need to write complex SQL queries. “Someone can use AI to say, ‘This Bitcoin account is known to belong to an exchange.

Show me some other accounts that might belong to the exchange,'” he said. The AI then understands the query, creates the appropriate search commands, retrieves the relevant blockchain data, and filters the results according to the advanced query. This capability elevates blockchain analytics and fraud detection to a higher level, enabling more sophisticated tracking of crypto transactions.

AI also increases predictability, automates trading, and improves risk management in the crypto space. However, challenges such as data privacy and market manipulation remain a concern.

Potential Liberation of $20 Trillion by AI and Blockchain

Schwartz referred to a report from Bitwise in 2024 that estimated that the crossover between AI and blockchain could contribute up to $20 trillion to global GDP by 2030. While Restaino acknowledged the aspirational nature of these estimates, he emphasized that the industry is experiencing unprecedented investment and growth.

According to the report, the world’s four largest cloud companies-Amazon, Google, Meta, and Microsoft-are expected to spend nearly $200 billion on data center construction alone by 2025, mostly to support the growing demand for AI. Restaino also mentioned that in the first half of this year alone, AI-related crypto projects have attracted $750 million in investment. These technologies bring new business models, better security solutions, and smarter automation solutions.

Conclusion: The Bright Future of Integrated Technology

The integration between AI and blockchain not only opens up huge economic opportunities but also promises to revolutionize the way data is managed and security is enhanced. While there are still challenges to overcome, the potential for transformation of industry sectors is immense. With growing investment and continued innovation, the future of AI and blockchain looks very promising.

Also Read: Will the Ripple vs SEC Case Be Resolved Soon? Check out the Expert Review!

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*Disclaimer

This content aims to enrich readers’ information. Pintu collects this information from various relevant sources and is not influenced by outside parties. Note that an asset’s past performance does not determine its projected future performance. Trading crypto carries high risk and volatility, always do your own research and use cold hard cash before investing. All activities of buying andselling Bitcoin and other crypto asset investments are the responsibility of the reader.

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