- Ripple CTO David Schwartz and Dimitri Restaino discussed how AI and blockchain convergence may create a $20 trillion economic opportunity by 2030.
- They emphasized how supply chain management, healthcare, and finance are already changing as a result of the convergence of blockchain and artificial intelligence.
In a recent episode of Ripple’s Block Stars podcast, Ripple CTO David Schwartz and AWS Senior Solutions Architect Dimitri Restaino talked about the possibilities of integrating artificial intelligence (AI) and blockchain. During their discussion, they highlighted how the integration of these two technologies can unleash a $20 trillion economic opportunity across sectors by 2030.
During the conversation, Schwartz posed a question: “What are some ways that AI can improve blockchain or blockchain can improve AI?” Restaino replied that at first blush, blockchain and AI seem like they’re opposites. AI is automation and intelligent decision-making and typically operates unseen. Blockchain, he said, is all about openness, making things verifiable and tamper-proof.
But he pointed out that these two technologies have a tendency to complement one another in different ways. Blockchain enhances AI by providing an unalterable, secure, and decentralized repository of information such that AI systems can employ datasets with high integrity that are verifiable and secure.
On the contrary, AI pushes blockchain ahead with increased functionality in content generation, customized experience, and NFTs. In addition, AI devices like language models (LLMs) enable inquiry of blockchain information through identifying crypto transaction trends, and suggesting bordering accounts using available blockchain data.
AI’s Role in Blockchain Data Analysis
Restaino offered an example of how AI is affecting blockchain analysis. Users are now able to pose advanced blockchain questions in natural language instead of composing sophisticated SQL queries, thanks to AI-based models. He illustrated this by saying, “I could potentially have an AI and say, ‘These 10 Bitcoin accounts are known to belong to exchanges. Show me some other accounts that look like they might belong to exchanges.”
AI understands these requests, creates appropriate search commands, retrieves relevant blockchain data, and even filters down its results according to follow-up prompts. This capability takes blockchain analytics and fraud detection to the next level, allowing for more sophisticated tracking of crypto transactions. Doubling down on cryptocurrency, AI enhances predictability, automates trades, and enhances risk management. It is not all good news, though; AI can introduce challenges such as data privacy and market manipulation.
Can AI and Blockchain Release $20 Trillion?
Schwartz referred to a report in 2024 by Bitwise that estimated the intersection of AI and blockchain could contribute $20 trillion to global GDP by 2030. While acknowledging the aspirational nature of this forecast, Restaino said the industry is seeing record investment and growth. According to the report, “The world’s four largest cloud companies, Amazon, Google, Meta, and Microsoft, are expected to spend almost $200 billion on data center build-outs in 2025 alone, in large part to serve growing AI demand.”
Dimitri further stated that in just the first half of this year, AI-related crypto projects have attracted $750 million in investments. The effect of these technologies is bringing about new business models, enhanced security solutions, and smarter automation solutions.
Although Restaino was also skeptical of the exact $20 trillion figure, he provided a look at how AWS is supporting this convergence. AWS enhances blockchain development with AI through Amazon Q Developer for smart contract coding, AI-driven security analysis to detect vulnerabilities, and infrastructure optimization for performance and cost-efficiency.
