In this episode of Unfiltered Stories, HFS Research President Saurabh Gupta sits down with Eric Piscini, CEO of Hashgraph, to explore the real intersection of AI and blockchain and why trust is becoming the defining challenge for both.

While AI is rapidly reshaping enterprise workflows, one question continues to surface. Can we trust it? This conversation dives into how distributed ledger technology is quietly emerging as the trust layer for AI, enabling transparency, control, and accountability in a world driven by autonomous systems.

From stablecoins and tokenization to AI-driven payments and decentralized governance, Eric shares how blockchain is moving beyond hype into real enterprise adoption. If you are thinking about the future of AI at scale, this conversation connects the dots between two of the most important technologies shaping it.

What you’ll learn

• Why trust is the biggest barrier to enterprise AI adoption
• How blockchain can act as a control and audit layer for AI systems
• The real differences between stablecoins, tokenized cash, and CBDCs
• How AI and blockchain are converging to enable new business models
• What asset tokenization means for enterprises and individuals
• How AI-driven payments and autonomous agents will reshape transactions

Key takeaways

• AI and blockchain are complementary technologies, not competing ones
• Blockchain enables transparency and accountability for AI decisions
• Enterprise adoption of blockchain is accelerating due to regulatory clarity
• Tokenization has the potential to unlock new forms of value and access
• AI-driven agents will require trusted payment and transaction systems
• The future of trust in digital systems will be built into the infrastructure