EU AI Act High-Risk AI in Critical Infrastructure: Energy, Transport, Water (2026) | MmowW

Critical Infrastructure AI Under the EU AI Act

The EU AI Act identifies AI systems deployed in critical infrastructure as presenting significant risks to health, safety, and fundamental rights. Annex III, Section 2 specifically lists AI systems intended to be used as safety components in the management and operation of critical digital infrastructure, road traffic safety, and the supply of water, gas, heating, and electricity. These systems are classified as high-risk and must meet the comprehensive requirements set out in Title III, Chapter 2 of the Regulation.

This classification reflects the potential for AI failures in critical infrastructure to cause cascading harm across interconnected systems, affecting large populations and essential services. The EU's approach recognises that AI in these sectors operates in environments where errors can have irreversible consequences.

Scope: Which AI Systems Are Covered

Energy Systems

AI systems used in the management of electricity grids, gas distribution networks, and heating systems fall within scope when they serve as safety components. This includes AI used for grid balancing and load management, predictive maintenance of energy infrastructure, automated fault detection and isolation in distribution networks, demand forecasting systems that directly control supply allocation, and emergency response automation in energy facilities.

The classification focuses on systems where AI decisions directly affect the safe operation of energy infrastructure. AI tools used for administrative purposes, such as customer billing or energy market analysis, are not classified as high-risk under this provision unless they directly influence safety-critical operations.

Transport Systems

AI systems used as safety components in road traffic management are explicitly covered. This includes traffic signal optimisation systems that directly control vehicle and pedestrian flows, autonomous vehicle safety systems, AI-based monitoring of transport infrastructure condition, automated incident detection and emergency response on motorways, and AI systems managing railway signalling or air traffic coordination where these interface with road traffic systems.

Note that AI in autonomous vehicles is also addressed through sector-specific EU legislation, including the General Safety Regulation (EU) 2019/2144. The AI Act applies in addition to these sector-specific requirements.

Water Supply Systems

AI systems managing water treatment, distribution, and quality monitoring are covered when they serve as safety components. This includes automated water treatment process control, contamination detection and response systems, pressure management in distribution networks, and flood prediction systems that directly trigger infrastructure responses.

Requirements for High-Risk Critical Infrastructure AI

Providers of high-risk AI systems in critical infrastructure must comply with the requirements set out in Articles 8 through 15 of the AI Act. These requirements are designed to ensure that AI systems operate safely, reliably, and under appropriate human control.

Risk Management System (Article 9)

Providers must establish and maintain a continuous risk management system throughout the AI system's lifecycle. For critical infrastructure, this includes identifying risks specific to the operational environment, including cascading failure scenarios, environmental factors, and interaction with legacy infrastructure systems. The risk management system must be regularly updated to reflect operational experience and emerging risks.

Data Governance (Article 10)

Training, validation, and testing data must meet quality standards appropriate to the system's intended purpose. For critical infrastructure AI, this includes ensuring that training data adequately represents the operational conditions the system will encounter, including rare but high-consequence scenarios such as extreme weather events, equipment failures, and demand surges.

Human Oversight (Article 14)

AI systems in critical infrastructure must be designed to allow effective human oversight. This is particularly important in sectors where automated decisions can have immediate physical consequences. Human oversight measures must enable operators to understand the AI system's outputs, to intervene or override the system in real time, and to safely disengage the system without compromising infrastructure safety.

The level of human oversight must be proportionate to the risks and the degree of autonomy of the AI system. Fully automated systems that directly control safety-critical functions require more robust oversight mechanisms than advisory systems that support human decision-making.

Accuracy, Robustness, and Cybersecurity (Article 15)

Critical infrastructure AI systems must achieve appropriate levels of accuracy, robustness, and cybersecurity throughout their lifecycle. Given the potential for cyberattacks on critical infrastructure, the cybersecurity requirements are particularly significant. Systems must be resilient against attempts to manipulate inputs or exploit vulnerabilities, and must be designed to fail safely when operating outside their normal parameters.

Conformity Assessment

Most high-risk AI systems in critical infrastructure are subject to conformity assessment procedures based on internal control, as described in Annex VI. However, where the AI system is a safety component of a product covered by existing EU harmonised legislation listed in Annex I, the conformity assessment procedure for that legislation applies, with AI Act requirements integrated into the assessment.

For example, an AI system that is a safety component of a machine covered by the Machinery Regulation (EU) 2023/1230 would undergo conformity assessment under the Machinery Regulation, with the AI Act requirements assessed as part of that process.

Sector-Specific Considerations

Critical infrastructure operators should be aware that the AI Act operates alongside existing sector-specific legislation. The NIS2 Directive (EU) 2022/2555 imposes cybersecurity obligations on operators of essential services, including energy, transport, and water. The Critical Entities Resilience Directive (EU) 2022/2557 establishes resilience requirements for critical infrastructure operators. AI systems must comply with both the AI Act and applicable sector-specific requirements.

Operators should also consider the interaction between the AI Act and product safety legislation, including the General Product Safety Regulation (EU) 2023/988 and sector-specific directives covering electrical equipment, pressure equipment, and machinery.

Preparing for Compliance

Operators and providers of AI systems in critical infrastructure should begin preparing for compliance well ahead of the August 2026 deadline. Key steps include conducting an inventory of AI systems currently deployed in safety-critical roles, assessing each system against the high-risk classification criteria in Annex III, and initiating risk management and conformity assessment processes for systems that meet the classification threshold.

Start your AI compliance journey to assess your critical infrastructure AI systems against EU AI Act requirements.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.