Trust in AI systems has become a boardroom concern across most sectors, but the mechanisms for establishing that trust remain contested. A new study commissioned by OVHcloud, the European cloud provider, suggests that blockchain may have a larger role to play than its current enterprise adoption would imply.
The research, which surveyed 100 blockchain professionals in the UK, found that 70% consider blockchain essential for the future of trustworthy AI, primarily through its capacity to verify data validity in AI processes. Two thirds (67%) said blockchain's inherent transparency could help verify transactions and establish audit trails for AI decision-making.
Practical applications, not theoretical ones
The use cases are practical rather than theoretical. Omar Abi Issa, Global Lead for Blockchain, Web3 and AI at OVHcloud, pointed to supply chain optimisation and agricultural AI as examples where blockchain can verify provenance without relying on a third party.
Blockchain and AI are inextricably intertwined. Consider AI used for optimising crop harvests, or for supply chain route optimisation; blockchain is essential for reliably providing food or product traceability, ensuring product quality, provenance or its ethical status.
Credibility remains the barrier
The study also surfaced the obstacles. More than half (61%) of respondents said organisational concerns about blockchain's credibility, frequently rooted in its association with cryptocurrency speculation, had prevented deeper integration with AI systems. A further 54% cited a straightforward lack of industry understanding about what blockchain could offer.
There is a generational split in the data. Among respondents aged 25 to 34, confidence in blockchain's role was notably higher, with 81% calling it essential for AI trust. The over-55 cohort was more cautious, though the sample sizes at the edges of the age range were not disclosed.
Abi Issa argued that the relationship runs in both directions, noting that AI agents can automate many operations in the public blockchain, helping systems to function more independently. He also acknowledged the credibility problem directly, stating that these barriers are usually based on outdated perceptions or a lack of understanding about how blockchain has evolved.
OVHcloud, which operates 46 data centres across four continents and positions itself as a sovereign alternative to US hyperscalers, has a commercial interest in the convergence of blockchain and AI. The company's infrastructure underpins blockchain nodes and AI workloads for European customers seeking data residency guarantees. The research should be read with that context in mind, though the findings are consistent with broader industry surveys on AI governance gaps.
The full report is available from OVHcloud. Survey fieldwork was conducted among UK blockchain professionals; methodology details were not published alongside the advance findings.
Editor's note
Trust is the thread that runs through every meaningful technology conversation right now. What makes this research interesting is that it reframes blockchain not as a speculative asset class but as infrastructure for accountability. If we're serious about building AI systems that organisations and citizens can rely on, we need verifiable transparency baked in from the start, not bolted on afterwards. Blockchain's potential contribution to that goal deserves far more attention than it currently receives.
