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How AI is transforming banking in LATAM

Latin America isn't catching up in banking anymore. With Pix reaching 93% of Brazilian adults and Nubank at 135M customers, here we explain how AI is collapsing the modernization curve for the region's banks.


Latam isn't catching up in Banking anymore. AI removed the last excuse to move slowly.

A few years ago, "Latin American banking technology" was a punchline in global fintech circles.

Today, the region is quietly running one of the most aggressive modernization cycles on the planet — and AI is pouring fuel on it.

Here's what most people outside the region still don't understand.

For decades, the story about banking in Latin America was a story about *gaps*. Gaps in access. Gaps in infrastructure. Gaps in trust. As recently as 2011, fewer than 4 in 10 adults in the region even had a financial account. Tens of millions of people paid for everything in cash and stood in line at a branch to move money that should have moved in seconds.

That gap was real. But here's the part the old narrative missed:

A gap is also a head start.

When you don't have a forty-year-old mainframe to protect, you don't spend a decade arguing about whether to touch it. You just build the modern thing. While much of the developed world has been carefully renovating a house it can't afford to demolish, parts of Latin America have been building on open ground.

The results are no longer subtle. Look at the numbers.

Account ownership in the region jumped from 39% of adults in 2011 to 70% in 2024 (World Bank Global Findex) — one of the fastest financial-inclusion leaps anywhere on earth.

Brazil's instant-payment system, Pix, now reaches over 170 million people — roughly 93% of the adult population — just five years after launch. It has processed more than 196 billion transactions since 2020 and crossed 7 billion *per month* in late 2025, with a five-year compound growth rate north of 200%. There is no payment rail in the developed world that scaled like that.

And the institutions are now giants. Nubank, founded in 2013, serves about 135 million customers across Brazil, Mexico, and Colombia — more customers than most century-old banks on the planet. Mercado Pago crossed 72 million monthly active fintech users in 2025, with a credit portfolio up 83% year-over-year to roughly $11 billion. Across Mexico, Colombia, Argentina, and beyond, fintech is no longer the scrappy challenger — it's setting the standard incumbents now have to match.

So why did this happen here, and why now?

Because the demand was never the problem. The cost of change was

A young, mobile-first population was ready for digital banking long before the banks were — mobile-money account ownership alone jumped 15 points to 37% of adults between 2021 and 2024. The constraint was never demand. It was that modernizing a regulated financial institution is slow, expensive, and risky. Core migrations measured in years. Compliance reviews that stall good ideas. Talent that's hard to find and harder to keep.

That's the wall every bank in the region has hit. And that's exactly the wall AI is now knocking down.

This is the shift I'm watching happen in real time, working with banks across the region: AI is collapsing the catch-up curve.

What used to be a three-year modernization roadmap is becoming an eighteen-month one — and sometimes less. Not because anyone is cutting corners on security or compliance, but because AI is compressing the slowest, most expensive parts of the work:

Legacy code, finally legible. AI can read, document, and help untangle decades-old systems that no one on staff fully understands anymore — turning the scariest part of any migration into something a team can actually plan around.

Engineering velocity, multiplied. The same modernization team now ships meaningfully more, because AI handles the repetitive scaffolding and frees senior people to make the decisions only humans should make.

Customer experience, reinvented. Fraud detection, credit decisioning, and 24/7 service in Spanish and Portuguese that actually understands local context — these used to be aspirations on a roadmap. Now they're features that ship this quarter.

Inclusion, at scale. AI-driven underwriting can responsibly extend credit to people with thin or no traditional credit history — which in this region isn't an edge case. With roughly 30% of adults still unbanked, it's hundreds of millions of people stepping into the formal economy for the first time.

Put those together and you get something genuinely new: a region that doesn't have to follow the developed world's playbook, because it's writing a faster one.

I want to be clear-eyed about this. None of it is automatic. AI doesn't fix a broken strategy, and it certainly doesn't replace the discipline that regulated banking demands. The institutions pulling ahead aren't the ones chasing AI as a headline. They're the ones treating it as what it actually is — leverage on top of solid fundamentals. Clean data. Sound architecture. Real security. Teams that know what they're doing.


The banks that win the next five years in Latin America won't be the ones with the biggest budgets or the longest history. They'll be the ones that recognize the unfair advantage they're sitting on — less legacy weight, hungrier customers, and a technology curve that finally bends in their favor — and move while that window is open.

The gap that once defined banking in this region is becoming the reason it's about to lead.

The only question left for any institution here is the one I keep asking the leaders I work with:

You no longer have to choose between moving fast and moving safely. So what are you waiting for?

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*At Develative, we work with banks across Latin America to modernize their technology — and lately, to do it faster than they thought possible. If your institution is staring at a modernization roadmap that feels too long, let's talk about how much shorter it can be.*

About the author

Marcos Ocon

COO & VP of Enterprise AI

Marcos leads Enterprise AI at Develative. He oversees day to day operations and manage multiple key accounts. Outside of work he loves to play golf.