AI in Brazilian companies: the gap between talk and adoption

Everyone in Brazil claims to be “using AI.” Most aren’t. 72% of Brazilian companies are still at the start of AI adoption, according to a Brivia survey reported by Exame. And among companies with 10 or more employees — the ones that already have the structure, budget, and people to do this properly — only 13% actually use AI, per CETIC.br’s TIC Empresas 2024 study, cited in the same report.

I spent two decades building enterprise search before founding Arvor. I’ve watched this movie before: every new technology goes through a phase where everyone talks about it at conference panels and almost nobody puts it into real production. With generative AI and agents, the gap is even wider, because the cost of “playing” with the technology dropped to near zero — any analyst opens a ChatGPT tab and feels like “the company already uses AI.” Using a tool in a browser tab is not the same as running AI inside your business process, on your own data, with governance and a measurable outcome.

That’s the gap the CETIC.br numbers expose. It’s not a lack of interest. It’s a lack of execution.

The talk is already ahead

Here’s what’s interesting: nobody at the C-level level doubts this matters anymore. 88% of executives believe AI will be the main driver of competitiveness by 2030, according to an IDC study done in partnership with Microsoft. The conviction is there. The budget is moving too — IDC projects US$4.2 billion in AI investment in Brazil in 2026 alone, via a report from Ideas Hub.

Money going in, conviction high, real adoption still tiny. That combination is exactly the pattern that precedes either a genuine productivity leap for whoever moves first, or a pile of abandoned AI pilots — which is the most common fate when a company buys tooling without rethinking process.

Why adoption stalls

In practice, the bottleneck is almost never the model. It’s everything around it: data scattered across silos with no structure to become reliable context, nobody on the team who knows how to design where an agent fits into a workflow without turning it into an expensive toy, and the absence of a memory layer that lets the system learn from the company’s own history instead of answering from scratch every single time.

The companies that solve this join the small group moving from “start of adoption” to real production. The ones that don’t keep buying tool licenses and writing “we’re using AI” in the board deck, while actual usage barely moves off the page.

None of this is a Brazil-specific quirk. It’s the standard pattern in any market where the expectation curve rises faster than the installed technical capability. The difference is that in Brazil, the gap between 88% executive conviction and 13% real, structured usage is wide enough to become a genuine competitive edge for whoever crosses it first — and it gets more expensive to close with every quarter spent talking instead of building.

What Arvor is building around this

We’re not here to sell AI hype to the Brazilian market. We’re building the infrastructure that separates “we installed an AI tool” from “we have an agent system running inside our operation, with memory and governance.” That’s what we do through agentic consulting and BRAIN MAKER, our service for building corporate brains — the structured memory layer missing from most AI projects that stall after the pilot.

If your company is among the 72% still at the starting line, or the 87% not yet using AI for real despite having the structure to do it, reach out. The gap between talk and adoption only closes for companies that treat AI as an engineering project, not a slide deck.