AI
TLDR: LONDON—Netomi CEO Puneet Mehta says AI will expand customer experience spending from about $500 billion to $5 trillion by 2030, boosting stablecoin demand for 24 7 settlement. He argues autonomous AI agents will move money and assets faster than legacy banking can settle, making instant crypto rails essential.
Key Takeaways:
- Customer experience work today sits in disconnected systems, driving only limited automation across sales, conversion, and support.
- Mehta predicts the market could grow from about $500 billion annually to $5 trillion by 2030, while AI agents need stablecoins for instant rails.
- If 24 7 blockchain settlement becomes standard for AI commerce, stablecoin usage may rise without a zero sum fight for venture capital.
Mehta is basically arguing that AI will not politely request payment approvals. It will just transact, and stablecoins look built for that kind of pace.
Mehta is basically arguing that AI will not politely request payment approvals. It will just transact, and stablecoins look built for that kind of pace.
Q&A
If banks can speed up settlement, does the AI agent stablecoin thesis weaken?
It depends on whether faster rails also provide 24 7 access, programmable execution, and low friction for autonomous software. If legacy upgrades do not match those requirements, stablecoins stay attractive.
What would “connected enterprise” change for customer experience teams day to day?
Instead of handoffs between tools for support, sales, and upselling, an integrated layer could let decisions and actions flow across functions with shared context.
Why might AI payments demand start with B2B treasury flows before it reaches consumers?
B2B has clearer cost centers, faster onboarding for counterparties, and more direct links to automation. Companies can pilot with controlled volumes and cross border settlement needs.
What obstacles could slow blockchain rails adoption even if AI agents want instant payment execution?
Regulatory uncertainty, accounting and compliance integration, liquidity fragmentation, and enterprise procurement cycles can delay deployment even when the technical case is strong.
How does Mehta’s “not zero sum” argument affect crypto funding and partner strategies for AI vendors?
It frames stablecoin infrastructure as complementary to AI software budgets, which could broaden partnerships with cloud, payments, and enterprise platforms rather than forcing investors to choose sides.
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