Blog/Legal Analysis
Legal AnalysisFebruary 17, 2026·4 min read

What Are the 4 Risk Categories of the AI Act?

The EU AI Act classifies every AI system into one of four risk categories. It's the most widely referenced AI regulation framework in the world — and it works nothing like Texas law.

If you're deploying AI that touches both European and Texas markets, understanding the structural difference between these two approaches isn't optional. Here's how both work.

The 4 Risk Categories of the EU AI Act

1. Unacceptable Risk — Banned

AI systems that pose a clear threat to fundamental rights are prohibited entirely. This includes:

  • Government social scoring systems
  • Real-time remote biometric identification in public spaces (with narrow law enforcement exceptions)
  • AI designed to manipulate human behavior through subliminal techniques
  • AI exploiting vulnerabilities of specific groups (age, disability)

2. High Risk — Permitted with Strict Obligations

AI systems used in sensitive domains are allowed but carry heavy compliance requirements: risk management systems, data governance, technical documentation, human oversight, accuracy monitoring, and conformity assessments. High-risk categories include:

  • AI in hiring, recruitment, and workforce management
  • Credit scoring and insurance pricing
  • Medical devices and diagnostic AI
  • Law enforcement and border control
  • Education admissions and assessment
  • Critical infrastructure management

3. Limited Risk — Transparency Only

AI systems that interact with people must disclose they are AI. No further compliance requirements beyond transparency. This covers chatbots, AI-generated content, and deepfake generators.

4. Minimal Risk — No Specific Obligations

The vast majority of AI systems — spam filters, recommendation engines, video game AI — fall here. No compliance requirements under the EU AI Act.

How Texas Does It Differently

Texas TRAIGA (HB 149) doesn't use risk categories at all. It regulates AI by intent — defining 7 specific practices that are prohibited regardless of the AI system's risk classification.

DimensionEU AI ActTexas TRAIGA
Regulatory modelRisk-based (4 tiers)Intent-based (prohibited practices)
ClassificationAI system categorized by use caseAI system screened against 7 prohibited intents
Compliance triggerRisk tier determines obligationsDeployer type determines obligation stack
Legal defenseConformity assessmentNIST AI RMF alignment (codified safe harbor)
EnforcementNational authorities + €35M penaltiesTexas AG only + $200K/violation
Cure periodNone specified60-day cure window

Why This Matters for Multi-Jurisdiction Deployers

If your AI system is classified as “minimal risk” under the EU AI Act, you might assume compliance is handled. But that same system could trigger a TRAIGA violation in Texas if it was designed or deployed with prohibited intent — regardless of its EU risk classification.

The reverse is also true: an AI system that clears all 7 TRAIGA prohibited practice screens could still require full high-risk conformity assessment under the EU AI Act based on its use case.

EU compliance does not equal Texas compliance. They regulate different things using different logic. Organizations operating in both jurisdictions need separate compliance architectures for each.

The Texas Advantage: Clarity

The EU AI Act's risk classification system is broad and subject to interpretation — determining whether your system qualifies as “high risk” can require legal analysis. Texas is more binary: your AI system either has prohibited intent or it doesn't. You either haveNIST AI RMF documentation or you don't.

That clarity makes Texas compliance more automatable — and the60-day cure window gives deployers a structured path to remediation that the EU AI Act doesn't offer.

For organizations navigating both frameworks, the practical starting point is the same: inventory your AI systems, document your governance processes, and build your evidence trail before enforcement asks for it.

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