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BUSINESS

Jeeves and NEAR build AI agent banking on stablecoins

Monday, June 1, 2026 · from 2 podcasts
  • Stablecoins settle cross-border payments in hours, replacing legacy bank rails that take days.
  • AI agents automate underwriting and back-office tasks, enabling revenue growth with fewer employees.
  • NEAR pivots to become the settlement layer for autonomous agentic commerce, burning token supply.

Stablecoin-powered AI agents are constructing a new global banking infrastructure, moving capital faster and cheaper than legacy systems ever could.

According to Dilip Rao on The a16z Show, Jeeves leverages stablecoins like USDC to bypass correspondent banking. The company converts local currency to USDC for instant settlement, enabling launch in new markets like Peru with minimal overhead. This vertical integration - owning ledger and licenses - expanded margins from 40% to 80%.

"We have four people handling $2-3 billion in TPV. Two years ago, that same task would have required 15 people."

- Dilip Rao, The a16z Show

AI agents automate document ingestion, reconciliation, and GL coding with 99% accuracy, tasks that defined entry-level finance roles. Rao argues CEOs who aren't 'AI-pilled' will lose to native-AI competitors moving at 10x speed.

On Bankless, Sal Ternullo frames NEAR's pivot as a return to its AI-first roots. The protocol aims to be the settlement layer for autonomous agentic commerce via 'Near Intents,' a system for executing complex cross-chain actions.

"Near Intents has processed almost 20 billion in total volume. Its switch in February now directs all fees to buy back and burn the Near token."

- Sal Ternullo, Bankless

Ternullo sees current human usage - wallets like Infinex and Zashi generating over $30 million in fees - as a proving ground for billions of future AI agent transactions. He argues NEAR is currently undervalued, offering a 20-50x opportunity if AI agents adopt its infrastructure.

Both models treat operational complexity and regulatory difficulty as competitive moats. Jeeves builds its own infrastructure stack to avoid the 'as-a-service' trap. NEAR uses a for-profit commercialization partner, Sovere, to execute go-to-market motions non-profit foundations cannot. The race isn't about software alone; it's about who controls the deepest, most defensible layers of the new financial stack.

Source Intelligence

- Deep dive into what was said in the episodes

Stablecoins, AI Agents, and The Future of Global BankingMay 28

  • Dilip Rao says Jeeves's underwriting team is four people handling $2-3 billion in TPV, a task that would have required 15 people two years ago before adopting AI models.
  • The company's headcount fell from 200 to 140 people over two years while revenue grew 10x and volume grew 8x, a change Rao attributes to AI integration across functions like customer service and document ingestion.
  • The firm uses AI agents for transaction reconciliation and GL coding with 99% accuracy, leveraging its own operational complexity as a training advantage.
  • Rao believes a founder must drive AI adoption personally, arguing that pre-AI companies must move at 20x speed to keep up with native AI firms moving at 10x.
  • Launching in Argentina with a stablecoin card that converts pesos to USDC instantly provides currency volatility protection and no FX fees, a model Jeeves plans to replicate in smaller markets like Peru.
Also from this episode: (8)

Startups (2)

  • Jeeves is a stablecoin-native financial operating system offering corporate cards and payments across 25 countries, with core markets in Brazil, Colombia, and Mexico.
  • Rao says Jeeves's gross margin expanded from 40% to over 80% by owning its infrastructure and regulatory licenses, avoiding partner payouts.

Stablecoins (4)

  • Rao argues stablecoins are a practical necessity in markets like Argentina, where 60% of the population uses them, not a theoretical product as in the U.S.
  • Jeeves uses stablecoins for over 50-60% of its international payment settlements, powering growth and enabling instant payouts branded as 'Jeeves Instant Pay' to enterprise customers.
  • The company's TPV increased from $400 million two years ago to over $3 billion currently, with a target of $6 billion this year, largely driven by stablecoin infrastructure.
  • Rao sees the company's entire stack moving on-chain within two to three years, using a single USDC pool for capital and collateralizing receivables to improve efficiency.

Enterprise (2)

  • The company focuses on mid-market and enterprise clients with revenue between $10 million and $100 million, having deprioritized smaller businesses after a strategic shift in 2023.
  • Jeeves maintains its own ledger and is a principal member with MasterCard, issuing cards directly without an intermediary bank to ensure a seamless, localized customer experience.

NEAR’s AI Money Thesis: Intents, Privacy, and Tokenomics | Sal TernulloMay 27

  • Sal Ternullo describes Near as AI money, a settlement layer for agents to transact on behalf of users in the real economy. Intents and Iron Claw are the technical embodiment of this vision.
  • Near Intents has processed almost 20 billion in total volume, generating over 30 million in fees. Its switch in February now directs all fees to buy back and burn the Near token.
  • Near's tokenomics changed in October, reducing protocol emissions to 2.5% annualized inflation. Value accrual to the token is now driven by vertically integrated products like Intents, not base-layer fees.
  • Zashi, Venice AI, and Infinex are prominent third-party integrations using Near's technology. Zashi alone has generated over 3 million in fees from cross-chain swaps and Zcash access.
  • Ternullo argues Near is currently undervalued based on human-driven Intents usage, but offers a 20-50x opportunity if billions of AI agents adopt its settlement and privacy infrastructure.
  • Ternullo sees Layer Zero as Near Intents' primary competitor in chain abstraction, but argues Near offers different design tradeoffs and has captured significant market share.
  • Near enables confidential transactions through NearCON, offering a retail-friendly self-custody solution with privacy toggles for every transaction.
Also from this episode: (2)

Enterprise (2)

  • Ternullo cites cloud infrastructure adoption in regulated finance as an analogy: enterprises resisted shared services until security and compliance controls matured, a cycle now repeating with private, user-owned AI.
  • Sal Ternullo's company, Sovereign, is a NASDAQ-listed Near treasury firm acting as a commercialization partner. It drives adoption by participating in governance and onboarding MPC node operators.