How AI and Blockchain Are Already Working Together Today

In 2024, global investment in AI and blockchain infrastructure exceeded $1.5 billion. This capital came from financial institutions, technology companies, and venture funds that are beginning to treat this convergence not as an experiment, but as a foundation for the next generation of financial systems.

Before AI and Blockchain Worked Together

Think about every time you interact with financial services, whether it is applying for a loan, transferring money across borders, or executing a business agreement.

Most processes still rely on intermediaries, take several days to complete, and involve recurring fees. More importantly, when something goes wrong, it can be difficult and time-consuming to trace the source of the issue.

Now consider what happens when AI is introduced into this system.

In blockchain-based transactions, AI can significantly improve both speed and accuracy. However, this introduces a new question. Who can trust the AI, and to what extent can its decisions be verified if there is no transparent system that explains how those decisions are made?

This is where blockchain becomes critical.

What Happens When AI and Blockchain Work Together

1. AI and blockchain in credit systems under regulatory frameworks

The EU AI Act in 2024 classifies AI systems used for credit scoring as high-risk systems that require clear documentation and auditability. Research published on arXiv in 2025 suggests that blockchain is one of the most suitable tools for creating immutable audit trails for AI decision-making, especially in consumer-facing applications.

Source: EU AI Act / arXiv: Blockchain as AI Transparency Platform

2. Blockchain-based payment systems without intermediaries

In September 2025, SWIFT announced the integration of a blockchain-based shared ledger into its infrastructure, with participation from more than 30 banks. Institutions such as UOB have indicated plans to use this system for ASEAN and cross-border payments, enabling real-time, 24/7 settlement.

Source: SWIFT press release, Sep 2025

3. AI-powered smart contracts for crop insurance

Projects involving Etherisc, Lemonade Crypto Climate Coalition, Chainlink, and Hannover Re have launched blockchain-based crop insurance in Kenya, covering over 7,000 farmers. When drought conditions are detected through environmental sensors, payouts are triggered automatically through smart contracts. AI-powered parametric systems can settle claims within 48 hours, compared to an average of 19 days in traditional systems.

Source: ItisPay / Insurnest

4. Data transparency for AI training

Ocean Protocol has developed a marketplace where data providers can tokenize their datasets and receive compensation each time their data is used to train AI models. In 2024, Ocean merged with Fetch.ai and SingularityNET to form the Artificial Superintelligence Alliance, with a combined valuation exceeding $7.5 billion. This reflects a growing recognition of data as a core asset in the AI economy.

Source: AI Git / Blockchain Council

Signals from Blockchain Industry Leaders

Industry leaders are increasingly aligned on the importance of this convergence.

– CZ, founder of Binance, sees AI and blockchain as one of the most important technological convergences of this decade, particularly in identity and automated financial systems.

– Vitalik Buterin, co-founder of Ethereum, raises a deeper question about trust. How can AI systems be made verifiable at a fundamental level? His direction points toward using cryptographic proofs, the same foundation that makes blockchain trustworthy, to validate AI processes.

Both perspectives point in the same direction. AI becomes significantly more powerful in financial systems when it is verifiable, and blockchain provides that verification layer.

How SIX Network Sees This Opportunity

From the examples above, it is clear that AI and blockchain are no longer just future concepts. They are already being applied in real financial infrastructure, from credit systems and payment networks to data management and insurance. Together, these developments point to a broader shift, where systems that are automated, accurate, and verifiable are becoming the new standard for the industry.

SIX Network has not only recently started exploring this space. At its core, what we have been building has always been infrastructure designed to support real-world assets, which is exactly where the integration of AI and blockchain can create the most practical and impactful use cases. This includes areas such as on-chain transaction verification, AI-assisted smart contract execution, and the development of systems that can operate autonomously at the infrastructure level.

Whether it is transaction verification on-chain, AI-assisted smart contract execution, or other operational layers, these are areas where real use cases are already emerging.

In the context of RWA tokenization, including real estate, funds, and securities, key questions remain. Can risk be assessed accurately enough? Can compliance be automated reliably? Can systems respond to market conditions in time? 

SIX is actively studying how AI can be integrated into financial infrastructure, not to appear innovative, but because infrastructure that supports institutional-scale projects must be intelligent, automated, efficient, accurate, and trustworthy at the same time.

The Road Ahead for SIX

There are still technical challenges to address. The integration of AI and blockchain at scale within the SIX Network ecosystem will take time.

At this stage, SIX is actively researching how AI can be applied in real blockchain operations to maximize efficiency, both within the SIX ecosystem and in collaboration with partners and future projects.