Can artificial intelligence and blockchain really make a great complementary pair?

Artificial intelligence has become almost impossible to ignore. Businesses are using it to automate workflows and improve decision-making in very amazing ways. At the same time, blockchain has been gradually moving beyond cryptocurrency, finding practical applications across industries that value secure and transparent data. These two technologies are usually discussed separately, but a growing number of organizations are beginning to ask whether they can achieve even more by using them together.

Binance CEO Richard Teng weighed in on this matter, saying “crypto is the currency for AI.” And these conversations are becoming more familiar to everyday customers as well. Someone checking the BTC price might not really be doing so because they’re planning to buy Bitcoin. They could just as easily be following broader developments in digital assets or keeping an eye on technologies shaping the future of finance.

After all, blockchain has become part of a much bigger discussion that now includes artificial intelligence, with businesses increasingly exploring how the two can work together to solve real-world challenges.

Well, of course, AI and blockchain have different purposes. One helps organizations become smarter, while the other helps them become more trustworthy. But did you know that combining these technologies is actually becoming a thing for many businesses? It’s a big part of why Fortune Business Insights believes the global blockchain-AI market could jump from $1.1 billion in 2026 to over $7.5 billion by 2034.

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Artificial intelligence is only as reliable as the data it receives

You’ve heard of the familiar phrase, “Garbage in, garbage out.” Well, it’s no different with artificial intelligence. Yes, this technology can process enormous volumes of information in a short period of time. However, that strength comes with an important limitation. If the data is inaccurate or manipulated, the AI system can produce equally unreliable results.

And this doesn’t matter how you’re using the technology; confidence in the underlying data matters just as much as the algorithms themselves. Better algorithms without reliable data won’t give you the right outcomes. Actually, you’ll just be making poor predictions, but now at scale. Unfortunately, according to the Tech Talks network, only about 1 in 10 businesses trust their AI data.

Blockchain helps address this issue by creating records that are difficult to alter without consensus across the network. You won’t just be relying on a single database that’s prone to modification. No, the decentralized infrastructure ensures you can maintain transparent records showing exactly when data was created and whether it has been changed over time.

Blockchain can make AI decisions more transparent

Black boxes are another major concern among AI-based systems. A system could generate recommendations, but users may struggle to understand how those conclusions were reached. If you’re an HR personnel, you’ve probably encountered this. Imagine using AI to screen hundreds of job applications. The system recommends a shortlist within minutes, but one qualified candidate wants to know why they were overlooked.

If there’s no clear record of the data used or the version of the model that made the recommendation, answering that question becomes much harder.

Finance is also another sector where the same concern is becoming increasingly relevant. Think about a bank using artificial intelligence to assess loan applications. The system might approve one applicant and reject another within seconds. But how do you explain to both the customer and regulators how the technology arrived at that decision? Without reliable records showing which data informed the model, reviewing the outcome can be complicated.

Thankfully, blockchain can provide a verifiable history of the information associated with important decisions. Businesses can confirm which dataset was used, identify the model version involved and establish when a particular output was generated. And if you work in an industry where compliance and accountability are a must, you’ll likely be drawn to this level of record-keeping.

That’s why it’s not a surprise that more organizations are placing greater emphasis on AI governance. Just last year (2025), roles in AI-specific governance grew by 17% while the percentage of businesses without responsible AI policies dropped from 24% to 11%, according to Stanford HAI.

Fraud detection is where the partnership earns its keep

One great application of artificial intelligence is fraud detection. Because it can analyze behavioral patterns across millions of transactions in real time, it can flag anomalies long before a human reviewer notices anything is wrong. Interestingly, according to Mastercard, this feature enabled 42% of issuers and 26% of acquirers to save more than $5 million against fraud attempts.

But identifying suspicious activity is just one part of the equation. You also want reliable records that you can review later. If a transaction is challenged, it helps to know exactly what happened and when. That’s where blockchain adds another layer of value. Because it creates records that are far more resistant to tampering, it enables investigators and regulators to trace events with greater confidence.

But remember, decentralized systems are also vulnerable to attacks. According to Business News Nigeria, malicious actors stole over $970 million worth of crypto between January and June 2026 alone. Against numbers like that, manual review doesn’t scale. Blockchain throughput continues to increase, so monitoring suspicious activity in near real time now requires machine-scale defenses. And thanks to AI’s real-time detection capabilities, organizations can respond more quickly to suspicious activity.

Smart contracts are becoming smarter

The idea of an agreement that executes automatically when conditions are met, without needing an intermediary to verify or enforce it, is genuinely powerful. The limitation, however, is rigidity. A traditional smart contract does exactly what it was coded to do, nothing more. If conditions on the ground change, the contract can’t adapt. It just keeps following its original instructions.

But with artificial intelligence, these contracts can now respond to real-world data in ways that weren’t previously possible. Think of it as a supply chain contract automatically adjusting pricing when an AI model detects a demand spike. Or even better, a DeFi protocol rebalancing exposure based on risk signals that an autonomous agent is monitoring around the clock. Those contracts still execute on-chain, but now with more responsiveness.

Blockchain and AI into the future

Therefore, the honest answer to whether blockchain and AI make a great complementary pair is that they already do. The technologies fill each other’s gaps in very practical ways. AI brings the intelligence. Blockchain brings the accountability. And as the regulatory environment tightens around explainable, auditable AI, the case for keeping them together only gets stronger.

Marcus Chen is a senior editor at Tech Insider, where he leads coverage of the US online gaming market, including sweepstakes and social casinos, alongside consumer technology. He evaluates operators on their published terms, licensing and RNG certifications, stated redemption policies, and corroborating independent reporting, and writes plainly about what the evidence supports. Tech Insider does not run first-party money tests and does not gamble with reader funds. Marcus has reported on the technology and online-gaming industries for more than a decade.