This is the Electi review. Today, blockchain and AI. Not a revolution, a receipt. The pitch you keep hearing is that combining blockchain and artificial intelligence will transform your business. The article from Electi says something more useful and less exciting. In most cases, that combination produces more slides than value. But dismissing it entirely is also wrong. Here is the actual argument. AI systems make decisions, risk alerts, forecasts, scoring outputs, that increasingly enter formal regulated processes. When they do, someone will eventually ask, which model version produced this? When? With what inputs? And if the only answer is trust the vendor's internal logs, you have a verifiability problem. Blockchain, the article argues, is not a magic fix. It is a digital notary. It records model versions, input hashes, execution timestamps, and policy changes in a ledger that multiple parties can independently verify. That is the narrow, specific case where it earns its place. Gartner forecasts that by 2027, 30% of high-risk AI systems will require traceability mechanisms, such as blockchain, to meet audit and regulatory compliance requirements, including the European AI Act. That is not a mandate for every company. It is a signal that AI output verifiability is moving from nice to have to contractual obligation. The article offers a clean test. If you remove the blockchain, does the system still work just as well? If yes, you probably don't need it. The cases where it holds up, supply chain traceability across multiple parties, fraud detection in crypto transactions where the ledger is the native data source, share one trait. Multiple independent actors who cannot simply trust each other's internal records. The GDPR tension is real and unresolved. Blockchain's immutability conflicts with the right to erasure. The practical answer is to keep personal data off-chain and record only hashes and verifiable references on the ledger. For SMEs, the practical takeaway is this you do not need to build blockchain infrastructure. You need to start asking your AI suppliers how they document model versions, data sources, and audit trails. In regulated industries, that question is about to become a contract clause, not a technical curiosity. That's the review.