The European AI Act is the first comprehensive artificial intelligence regulation in the world. Approved by the European Parliament in 2024 and already in full force in 2026, it establishes a legal framework that classifies AI systems according to their level of risk and imposes concrete obligations on those who develop, deploy, or use them. What many companies in Argentina and LATAM still don't know: if they operate or sell in Europe, or if they use European AI providers, the rule reaches them directly.

In this article we explain what the AI Act regulates, how the risk classification works, what it implies for developers and companies in the region, and what opportunities it opens for those who specialize in AI compliance.

What the European AI Act is and why it's important

The AI Act (the European Union's Artificial Intelligence Regulation) is a law with extraterritorial reach: it applies not only to European companies, but to any organization that markets or deploys AI systems in EU territory, regardless of where it's headquartered. The regulatory model is similar to that of the GDPR data protection regulation, which also impacted Latin American companies that operate in Europe.

According to TechCrunch, the first compliance deadlines are already active and European authorities have begun issuing interpretation guidelines for specific sectors. Regulatory pressure will grow throughout 2026.

How the AI Act classifies risk

The central architecture of the AI Act is a pyramid of four risk levels:

1. Unacceptable risk (prohibited)

These are AI systems that are directly prohibited in the EU. Some examples:

• Social scoring systems of people by governments

• Emotion recognition in work and educational environments (with exceptions)

• Remote biometric identification in real time in public spaces (except for security exceptions)

• Subliminal manipulation of human behavior

2. High risk

These are systems that can have a significant impact on people. They require a conformity assessment, registration in an EU database, and exhaustive technical documentation. They include:

• AI in personnel selection

• AI in access to credit or insurance

• AI in education (automatic grading of students)

• AI in critical infrastructure (energy, water, transport)

• AI in medical diagnosis

3. Limited risk

Includes chatbots and generative systems. The main obligation is transparency: the user must know they are interacting with an AI. It also applies to deepfakes: they must be clearly labeled.

4. Minimal risk

Most AI applications fall into this category: spam filters, recommendation systems, video games with AI. They don't have additional specific obligations under the AI Act.

How it impacts companies and startups in Argentina and LATAM

The most direct impact occurs in three scenarios:

Companies that sell software services in Europe

If your software product has AI components and you sell it in the EU (whether it's a SaaS, an app, or an API service), the AI Act applies. You need to classify your system according to the risk level and comply with the corresponding obligations. Many fintech and legaltech companies in LATAM that export to Europe are already in this scenario.

Developers who work with European AI models

If you integrate AI models from providers established in Europe (there are several in France, Germany, and Spain), you may be covered by the rule as a "deployer". This entails documentation and human supervision obligations in high-risk systems.

Companies with European clients or data of European citizens

Similar to the GDPR: if you process data of people in the EU to train or use AI systems, the AI Act may apply to that data and those systems.

To better understand the context of the investments and decisions that the big AI companies are making globally, you can read about how Anthropic and other leading companies are expanding their computing infrastructure in CoderLibrary.

What developers who work with AI should do

If you work in developing AI systems and your company operates or has clients in Europe, these are the concrete steps:

1. Identify the risk level of each AI system your company develops or deploys.

2. Document the system: architecture, training data, performance metrics, intended use cases.

3. Implement logging and human supervision in high-risk systems.

4. Label AI-generated content visibly to the end user.

5. Review contracts with AI providers: the AI Act assigns specific responsibilities to "providers" and "deployers".

The official AI Act portal has the complete text and updated compliance guides that are the starting point for any conformity analysis.

Opportunities the AI Act opens in LATAM

The regulation creates demand for new profiles and services:

• AI Compliance Officer: companies need someone who understands both AI and regulatory frameworks. The profile barely exists in LATAM.

• AI systems auditing: the AI Act requires independent conformity assessments for high-risk systems. It's a nascent market.

• Responsible implementation consulting: helping companies classify their systems, document them, and comply with the AI Act requirements.

• Legal tech with a focus on AI: interpreting the AI Act for concrete cases requires combined expertise in law and technology.

Recommended Coderhouse courses

To build the technical profile that the AI Act makes more valuable, these Coderhouse programs are the starting point:

• Introduction to Artificial Intelligence Course: to understand how the AI systems the AI Act regulates work, with a focus on concepts applicable to the world of work.

• AI Engineering Course: for developers who need to implement AI systems with the documentation and governance standards the AI Act requires.

• AI Agents Course: autonomous agents are one of the systems most regulated by the AI Act. Learning to build them with a compliance mindset is a differential advantage.

Frequently asked questions

Does the AI Act apply to Argentine companies that don't have a presence in Europe?

It applies if you offer products or services with AI to users in the EU, even if you don't have offices in Europe. The criterion is the same as the GDPR's: if you have European users or clients, the rule reaches you.

What are the fines for non-compliance with the AI Act?

The sanctions are progressive according to severity. Non-compliance with absolute prohibitions can cost up to 35 million euros or 7% of annual global turnover. Non-compliance in high-risk systems reaches up to 15 million euros or 3% of turnover.

Are generative AI models like GPT or Claude regulated?

Yes. The AI Act has a specific chapter for general-purpose models (GPAI, like LLMs). The providers of these models must publish technical documentation, respect copyright law, and, if the model has "systemic impact", undergo additional assessments.

When do the requirements for high-risk systems come into force?

The deadlines are staggered. The absolute prohibitions came into force in February 2025. The requirements for high-risk systems apply from August 2026. The obligations for general-purpose models have been in force since August 2025.

What is a "deployer" under the AI Act?

It's any company that uses an AI system developed by third parties in a professional context. If your company integrates an AI API into its product, you are a deployer and have specific obligations: human supervision, incident logging, and use consistent with the purpose declared by the provider.