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HOME/THE A16Z SHOW/Stablecoins, AI Agents, and The…
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// EPISODE
THE A16Z SHOW

Stablecoins, AI Agents, and The Future of Global Banking

DATE May 28, 2026SOURCE THE A16Z SHOWPARTICIPANTS ANGELA STRANGE, DALIP TASMAN
// KEY TAKEAWAYS3 ITEMS
  1. 01Stablecoins Are Already Real Infrastructure in Emerging Markets
  2. 02Difficulty Is Defensibility
  3. 03AI Is Compressing the Headcount-to-Revenue Ratio Dramatically
In this episode

Podcast: The a16z Show | Participants: Angela Strange (a16z), Dalip Tasman (Jeeves CEO)


1. Key Themes

Stablecoins Are Already Real Infrastructure in Emerging Markets — Not Theory

The Latin America opportunity for stablecoins isn't hypothetical. It's a mass-adopted, lived reality that most U.S.-centric investors underestimate. Jeeves is riding this wave not by educating customers on crypto, but by embedding stablecoins invisibly into enterprise financial products.

"In Argentina, 60% of the population use stablecoins. That's not something you have to train people how to use. In the U.S., it's a little more like, okay, why would I use stablecoins? I think Americans don't quite get it. A lot of countries don't have that stable U.S. currency." — Dalip Tasman [00:15:18]

"Our international payments, more than 50%, 60% settles directly on stablecoin. And that's been powering a lot of the growth that we've seen in the last year." — Dalip Tasman [00:04:08]

Difficulty Is Defensibility — Infrastructure Depth Creates Unassailable Moats

Jeeves deliberately chose the hardest path: building local issuing licenses, maintaining their own ledger across 25 countries, and becoming a full principal member with Mastercard in each market. This infrastructure depth — painful to build — is now nearly impossible to replicate and directly enables margin expansion from 40% to 80%+.

"Internally, we have the saying: difficulty is very defensible. Because it's difficult, it's actually defensible... Our margin has expanded from 40% two years ago to north of 80% right now. You cannot do that unless you own the infrastructure and unless you have the regulatory coverage." — Dalip Tasman [00:05:19] and [00:09:21]

AI Is Compressing the Headcount-to-Revenue Ratio Dramatically

Jeeves is the clearest live example of a pre-AI company successfully going AI-native. Revenue 10x'd while headcount dropped from 200 to 140 people. The underwriting team — one of the most critical and historically labor-intensive functions — is 4 people managing $2–3B in TPV. This is the new operating model.

"Our underwriting team today is four people, and that team is doing two to three billion in TPV. That just wouldn't have been possible two and a half years ago. You need 15 people just to get that off the ground. That's what's changed." — Dalip Tasman [00:00:38]

"If you are not AI-pilled, you're not going to make it." — Dalip Tasman [00:00:38]


2. Contrarian Perspectives

Don't Market Stablecoins — Sell the Business Outcome Instead

Most crypto/stablecoin companies lead with the technology. Jeeves deliberately hides it. They brand stablecoin rails as "Jeeves Instant Pay" to enterprise CFOs. The non-obvious insight: enterprise adoption of stablecoins will be driven by companies who never say the word "stablecoin" in their pitch.

"When we sell it to these enterprises, we actually don't pitch stablecoin directly. We actually pitch it as Jeeves Instant Pay. But the inside is stablecoin. When you talk to a CFO at an enterprise company, they don't care as much on the technology side. They care: can I trust you? Is the money going to show up?" — Dalip Tasman [00:16:38]

Start With Enterprise, Not SMBs — The Conventional FinTech Wisdom Is Wrong

The standard playbook in fintech is to start with small businesses because they're easier to close, and earn your way up to enterprise. Jeeves proved the opposite: SMBs are costly to service and generate little margin. The hard early decision to debank small customers and focus entirely on mid-market/enterprise was the inflection point.

"We were realizing that we were just not making that much money in terms of revenue from smaller businesses. And we needed the same support for them... I don't think we'd be here today if we didn't make that hard call in 2023." — Dalip Tasman [00:10:32]

Emerging Markets Are More Financially Sophisticated Than the U.S. in Key Ways

Conventional investor wisdom treats LATAM as an unsophisticated, high-risk market. Brazil's financial ecosystem — instant settlement, full digitization, no cash — is actually ahead of the U.S. in operational sophistication. This reframes the risk/reward entirely.

"Brazil has an incredibly sophisticated financial ecosystem. I would say in some sense even more sophisticated than the U.S. There's no cash. Everything is digitized. It's instant. In fact, when they come to the U.S. and ACH takes two days, it's almost like, what are you guys doing?" — Dalip Tasman [00:13:17]

CEOs Cannot Outsource AI Adoption — It Must Be Personal

The contrarian stance here is that hiring a Chief AI Officer is insufficient. The CEO must personally set the pace and demonstrate the capability. Dalip built Jeeves' first internal OpenAI tool himself. This is not a strategy most executives would accept as their personal responsibility.

"That energy, that pace has to come from the CEO. You can't outsource this. You can't hire a chief AI person... if you don't show that you can build it and someone can tag it in a WhatsApp channel, then people just don't feel like they can do it themselves." — Dalip Tasman [00:34:06]

Pre-AI Companies Must Move at 20x Just to Keep Up With AI-Native Competitors

This is directionally obvious but the magnitude is not. Dalip's framing: if native AI companies move at 10x, a legacy company moving at 3x still loses badly. You need to overshoot to 20x just to remain competitive. Most incumbents believe gradual adoption is sufficient.

"If you think you're fast at 3x, there are native AI companies that are moving at 10x. So you're still slow. And you need to be 20x just to keep up with the 10x." — Dalip Tasman [00:34:06]


3. Companies Identified

Jeeves Global financial operating system (stablecoin-native), targeting mid-market and enterprise companies across 25 countries. Mentioned as the central subject — notable for its infrastructure depth, stablecoin-first architecture, dramatic AI-driven operational leverage (140 people, 10x revenue growth, $3B TPV scaling to ~$6B), and first-mover in stablecoin-native enterprise banking in LATAM.

"We are a stablecoin-native financial operating system for global enterprises... Today, our international payments, more than 50%, 60% settles directly on stablecoin." — Dalip Tasman [00:04:08]

Sardine Fraud detection and compliance infrastructure company. Referenced as a key partner in Jeeves' card authentication and fraud detection stack, indicating it is trusted by sophisticated enterprise fintech operators.

"We also do some of the fraud detection components, obviously, with partners like Sardine. But all of that sits directly with us." — Dalip Tasman [00:08:10]

Nubank Brazilian digital bank operating in Brazil, Mexico, Colombia. Referenced as a Jeeves enterprise customer using both corporate spend and travel card products — notable as validation that Jeeves can win sophisticated, tech-forward enterprise financial clients.

"When you think about Nubank, you have corporate spend and then you have travel. So those are the two areas that we kind of work with them on." — Dalip Tasman [00:14:35]

Hotmart Brazilian digital products platform. Referenced as a customer using Jeeves' seamless multi-country card infrastructure, underscoring the product's enterprise-grade UX consistency.

"For companies like a Hotmart, for a Burger King, it's seamless... you don't have to train the team three times for three different logins for three different countries." — Dalip Tasman [00:07:21]

Payoneer Global payment platform, taken public. Referenced indirectly — Jeeves' CFO took Payoneer public, a signal of institutional finance credibility brought into Jeeves' leadership.

"Our CFO took Payoneer public." — Dalip Tasman [00:31:41]


4. People Identified

Dalip Tasman Founder & CEO of Jeeves. Engineering background (two degrees), master's thesis on genetic algorithms for money markets in 2006 (a precursor to LLMs). Previously built and sold Power Inbox for $106M. Stanford GSB alum. Grew up across Nigeria, Qatar, and Florida. Identified for his rare combination of technical depth, global lived experience, and deliberate operational discipline in building a genuinely complex, multi-country financial infrastructure business — while remaining personally hands-on in AI adoption.

"My master's thesis was actually on using genetic algorithms to mimic money markets. And that was basically LLMs... This was in 2006. It's amazing seeing that full circle 20 years later." — Dalip Tasman [00:02:22]

"I feel so unblocked as an ex-engineer now with AI because I feel like I can actually start building." — Dalip Tasman [00:34:34]


5. Operating Insights

The "One or Two Metrics That Matter" Principle for Early-Stage Focus

Dalip's operating philosophy at founding was to identify the one or two metrics that define survival and ignore everything else — not revenue, not margin, just the single leading indicator of product-market fit. This is the "monkey with a stick" approach to early-stage execution.

"When you start, your job is to focus on one or two maximum metrics that matter. And then you need to be like a monkey with a stick — how do you move that metric? And everything else doesn't matter. When we started, our number one metric is spend. It's not revenue." — Dalip Tasman [00:28:31]

The CEO as Rotating Functional Expert

Dalip explicitly describes the CEO job as rotating through whichever function is the company's current bottleneck — finance during the 2023 rate crisis, product/engineering now during the stablecoin build-out. The skill is knowing when to rotate and when to hand off to a hired expert.

"As a CEO, as a founder, your job is to do whatever job is needed for the company to get to the next stage... Two years ago, it was finance because we were navigating 23 and interest rates had shot up 600%... Now we have an amazing CFO. So now I don't need to spend that much time there." — Dalip Tasman [00:29:16]

Hiring "Local GMs" as the First Move in Any New Market

Rather than trying to scale centrally into new geographies, Jeeves always hires a local general manager first — someone native to the market who lives there. This is the operational unlock before any product or sales motion begins.

"In Argentina, we just hired what we call a local GM. They have to be local. They have to know the market. They have to live there because I'm not the one selling on the ground. So that's always the first hire." — Dalip Tasman [00:30:15]


6. Overlooked Insights

On-Chain Collateralization of Receivables Could Reinvent B2B Fintech Capital Efficiency

Dalip briefly mentioned — almost in passing — a vision to collateralize Jeeves' $1–3B in receivables directly on-chain to access USDC liquidity at 60–70% LTV. This is a non-obvious structural shift: it would allow a fintech to supplement or even partially replace traditional credit facilities with decentralized on-chain capital. If this works at scale, it fundamentally changes the unit economics of any lending or charge-card business operating in markets with stablecoin infrastructure — and nobody in the conversation stopped to unpack it.

"Is there a world where we can start collateralizing that on chain? So we basically take the receivables, put it on chain, get 60, 70 percent against that on USDC. It doesn't remove our existing capital sources, but it helps supplement that with on-chain USDC." — Dalip Tasman [00:25:44]

Stablecoins Collapse the Cost of Country Launches — Opening the Long Tail of "Uneconomic" Markets

Tucked into the Argentina discussion was an insight with massive investment implications: stablecoins have eliminated the $500K–$700K + 8-month cost to launch a new country for fintech. Jeeves can now launch in Peru — a market previously too small to justify — with just 2–3 sales headcount. This means every emerging market that was previously sub-scale for fintech infrastructure is now potentially addressable. The TAM for global SME financial services just quietly expanded by an order of magnitude, and almost no one is building for it yet.

"Nobody's going to launch an expense management suite for Peru. It's too small a TAM. Now we can. I basically have to staff two salespeople in Peru. They'll sell this product out there. I can onboard 10 companies and it can still be a profitable market. The cost has completely collapsed." — Dalip Tasman [00:21:42]