28 April 2026 3 min read Emerging Markets

Why emerging markets can lead the agentic AI era.

Whoever builds AI to operate in a chaotic, constrained environment builds something more robust than whoever solved it for a predictable world.

There is a comfortable assumption that the next wave of AI innovation will be born in the usual suspects, the big technology centers of the northern hemisphere, and only then trickle down to the rest of the world. I believe that in the agentic era this logic can invert. And Brazil is a good place to explain why.

The argument starts with a counterintuitive idea: sometimes the absence of legacy infrastructure is an advantage. Mature markets carry decades of old systems, crystallized processes and investments nobody wants to admit have aged. Every accumulated layer of technology becomes a weight when it is time to change. Emerging markets, having never built all that inheritance, manage to skip entire stages. That is how Brazil skipped the check and the card straight to instant payments, and became a world reference in something richer economies are still trying to catch up with.

Agentic AI opens exactly that kind of window. When intelligence stops being a dashboard someone operates and becomes an agent that executes, the adoption barrier stops being capital and becomes context. You do not need an army of expensive specialists to extract value from an agent that reasons in natural language over the data of the operation. That democratizes a capability which, in previous technology waves, stayed concentrated in whoever had more resources.

Whoever builds for the hard case earns the right to compete in the easy one.

Add to that the nature of local problems. Tax complexity, logistics chains of continental scale, informality, economic volatility. These are hard problems, and a hard problem is the best fuel for real innovation. Whoever solves AI to operate in a chaotic environment full of constraints builds something more robust than whoever solved it for a predictable world. The harshness of the context becomes a school that comfortable markets do not have.

This is not naivety. There are real barriers: concentrated talent, higher cost of capital, data infrastructure still uneven in many companies. I am not saying the path is easy. I am saying the starting distance is shorter than in any previous technology wave, because agentic AI reduces the dependence on heavy structure and rewards whoever deeply understands the problem.

And here comes a strategic responsibility. If the window exists, it does not stay open forever. Emerging markets have a habit of importing finished technology instead of building their own, and in doing so they hand outside the value they could have captured. The agentic era is a rare chance to invert that pattern, to build intelligence locally that solves local problems, and then export it to the world, rather than the other way around.

I see Brazil less as a market waiting for AI to arrive and more as a laboratory where agentic AI can be proven under the most demanding conditions.

The question I leave you with: are your country, your company, your team waiting for the next AI wave to arrive from abroad, or organizing to be its origin?

#IA #AgenticAI #Brasil #Inovação #EnterpriseAI

Marcio Steffen is an Enterprise AI Executive and founder of Mars Innovation & Technology.

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