Puneet Mehta, CEO of Netomi and a veteran Wall Street engineer, argues that the explosion of enterprise AI software creates a structural demand catalyst for stablecoins and blockchain infrastructure.
Mehta frames the opportunity within a $5 trillion addressable market for AI-powered customer experience platforms. As companies automate service operations with large language models and AI agents, they need faster settlement layers and programmable money rails. Traditional payment systems introduce friction and latency that AI-driven workflows cannot tolerate.
The thesis rests on a simple mechanic. Enterprise AI systems operate at machine speed. They process thousands of transactions per second and need immediate, deterministic settlement without human intervention. Stablecoins enable this velocity at scale. A bank transfer takes days. A blockchain stablecoin transfer settles in seconds.
Mehta's background matters here. He spent years at major financial institutions building data infrastructure, giving him credibility on both Wall Street and crypto perspectives. His claim bridges the perpetual gap between enterprise adoption narratives and actual blockchain use cases. Customer experience automation represents one of the few verticals where stablecoin velocity actually solves a real problem.
The AI customer experience sector already moves billions annually. Companies like Salesforce, Zendesk, and OpenAI-powered platforms handle customer interactions at scale. Adding blockchain rails would theoretically let these platforms settle payments, refunds, and agent-to-supplier transactions without touching legacy banking infrastructure.
However, Mehta's argument faces practical hurdles. Most enterprise customers operate in regulated jurisdictions where stablecoin adoption remains cautious. The SEC, Federal Reserve, and global regulators have not blessed stablecoins as preferred settlement layers for commercial transactions. Additionally, enterprises already use APIs and ACH networks that, while slow by crypto standards, work reliably for most use cases.
The narrative aligns with broader crypto industry positioning. As bitcoin and ether volatility persists and regulatory clarity stalls, stablecoins emerge as the most defensible blockchain asset class. Companies like Circle, Tether, and Paxos dominate this space. If enterprise AI adoption accelerates stablecoin demand even marginally, it reshapes the entire tokenomics equation.
Mehta's frame also reflects a shift in crypto discourse away from retail speculation toward institutional infrastructure. The blockchain industry has spent years chasing decentralization narratives. Enterprise AI provides a practical, non-ideological justification for blockchain adoption.
Whether $5 trillion in AI customer experience spending actually converts to stablecoin demand depends on regulatory approval and enterprise appetite for crypto-native infrastructure. For now, Mehta's thesis remains speculative but addresses a legitimate timing question around when mainstream companies begin routing transactions through blockchain.