AI in the Workplace: What Irish Employers Need to Know About the 2026 Rules

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Your managers are using ChatGPT to draft emails. Someone in HR is using AI to help write job descriptions. Your recruitment software may already be using automated tools to screen or rank candidates.

For many Irish employers, AI is already part of the workday, even if the business has never formally decided how to use it.

That is where the risk starts to grow. New requirements under the EU AI Act are changing how businesses must approach AI, particularly where it is used in recruitment, employee management, and other decisions that can affect people at work.

This does not mean employers need to stop using AI. It does mean they need to know where it is being used, which tools carry greater compliance risks and whether the right policies and safeguards are in place.

In this guide, we explain what the 2026 AI rules mean for Irish employers and what businesses should be doing now.

What Changed for Employers in 2026?

The EU AI Act is being introduced in stages, so 2026 is not the starting point for every AI-related responsibility. Some rules are already in place, including requirements around AI literacy and restrictions on certain prohibited AI practices.

However, 2026 brings the next major phase of the legislation and puts greater focus on how higher-risk AI systems are managed. This is particularly relevant for employers because certain AI systems used in recruitment and employee management can fall into the high-risk category.

For Irish employers, the key change is how they must manage AI in the workplace. Businesses need to understand what AI systems they use, what those systems actually do and whether they influence decisions about employees or job candidates.

The more influence an AI system has on someone’s employment, the more carefully its use must be considered.

You May Already Be Using AI in the Workplace

One of the biggest challenges for employers is that AI is not always introduced as a standalone system. It is increasingly built into software that businesses already use.

You may already be using workplace AI if your systems:

  • Screen, rank or shortlist job applicants.
  • Use chatbots to communicate with candidates.
  • Analyse employee performance or productivity.
  • Recommend shifts, workloads or task allocation.
  • Flag employees for further review.
  • Support promotion or recruitment decisions.
  • Generate HR documents, policies or employee communications.
  • Analyse employee behaviour or workplace data.

That is why an AI review should start with the tools already in use across the business, rather than only obvious platforms such as ChatGPT.

The key question is not simply whether a system uses AI, but what it is used for and whether its output can influence decisions about employees or candidates.

AI Literacy: What Employers Should Already Be Doing

One requirement employers should already be considering is AI literacy. This part of the EU AI Act has been in force since February 2025. It requires organisations using AI systems to take steps to ensure staff have an appropriate level of AI knowledge and understanding.

This does not mean every employee needs formal AI training or technical expertise. The level of knowledge should reflect how AI is being used and the risks involved.

For example, an HR manager using AI to support recruitment decisions may need a greater understanding of bias, data protection and human oversight than an employee using generative AI to help draft an internal email.

Employers should therefore consider who is using AI, what they are using it for and whether those employees understand both the capabilities and limitations of the tools.

Which Workplace AI Uses Create the Biggest Risk?

Not every use of AI creates the same level of risk. Drafting an internal email with AI is very different from using a system to decide which candidate gets an interview or to assess an employee’s performance.

For employers, there are three broad areas to understand.

AI Practices That Are Prohibited in the Workplace

Some uses of AI are prohibited altogether. One of the most relevant for employers is using AI to infer a person’s emotions in the workplace.

This means employers generally cannot use AI systems that claim to determine how an employee is feeling from characteristics such as facial expressions, voice or behaviour. Limited exceptions apply where the system is used for medical or safety reasons.

High-Risk AI Used for Employment Decisions

Certain AI systems used in recruitment and employee management can be classed as high risk. This can include systems used to:

  • Recruit, screen or select candidates.
  • Influence decisions about promotions or termination.
  • Allocate tasks based on individual behaviour or characteristics.
  • Monitor or evaluate employee performance and behaviour.

These systems receive greater scrutiny because their output can directly affect someone’s employment and career.

Lower-Risk Everyday AI

Many everyday uses of AI will not fall into these categories. Using generative AI to draft an email, summarise meeting notes or generate ideas, for example, is generally different from using AI to make employment decisions.

However, employers still need to consider issues such as confidentiality, accuracy, employee data, and how staff use these tools.

What Do Employers Need to Do When Using High-Risk AI?

Where AI is being used in higher-risk areas such as recruitment or employee management, employers need greater oversight of how the system is used and how its output affects decisions.

Depending on the system and how it is being used, this can include:

  • Following the instructions provided by the AI system’s provider.
  • Making sure employees responsible for using the system have appropriate training.
  • Putting suitable human oversight in place.
  • Monitoring how the system performs in practice.
  • Keeping relevant records and logs where required.
  • Informing employees when certain high-risk AI systems are being used in the workplace.
  • Taking action where the system produces unexpected results or creates a potential risk.

Human oversight is particularly important. A manager should not reject a candidate, deny a promotion or take action against an employee simply because an AI system recommended it.

The person reviewing the output needs to understand what the system is telling them, consider other relevant information and be prepared to question or override the recommendation where appropriate.

Don’t Assume Your AI Supplier Handles Compliance

Employers may assume that if an AI tool comes from an established software provider, the supplier is responsible for making sure its use is compliant. In practice, responsibilities can fall on both the system provider and the employer.

Before introducing AI into recruitment or employee management, employers should understand:

  • What the system is designed to do.
  • What employee or candidate data it uses.
  • How its recommendations or scores are produced.
  • What controls and human oversight are available.
  • What information and documentation the supplier provides.
  • Whether the tool is being used for the purpose intended by the provider.

This makes supplier due diligence particularly important when purchasing HR, recruitment, monitoring or performance-management software.

A reputable supplier can provide useful safeguards, but employers still need to understand how the technology is being used within their own workplace.

AI, GDPR and Employment Equality

Complying with the EU AI Act does not replace an employer’s existing responsibilities under data protection and employment equality law. Where AI uses information about employees or candidates, those existing rules still apply.

AI and Employee Data

AI systems used in recruitment, monitoring or employee management can process significant amounts of personal data.

Employers need to consider:

  • What employee or candidate data the system uses.
  • Whether there is a lawful basis for processing it.
  • Whether employees have been properly informed about how their data is used.
  • Whether a Data Protection Impact Assessment is required.
  • Whether the system uses sensitive or special category data.
  • Whether decisions are being made solely through automated processing.

The more significant the decision, the more important it is that employers understand how the AI system uses personal data and what human involvement exists.

AI and Employment Equality

Using AI does not remove an employer’s responsibility to make fair and non-discriminatory employment decisions.

For example, a recruitment system trained on historical hiring data could unintentionally favour or disadvantage particular groups. Similar risks can arise when AI influences promotion, performance or other employment decisions.

Employers should therefore be able to explain how they reached important decisions, rather than relying on an AI-generated score or recommendation that nobody in the business can properly justify.

What Should Irish Employers Be Doing Now?

Employers should start by finding out where AI is already being used across the business. From there, they can decide which tools need stronger controls and where policies or training need updating.

A practical AI review should include:

  • Creating an inventory of AI tools used across the business.
  • Identifying AI features built into existing HR and recruitment software.
  • Checking whether any systems fall into prohibited or high-risk uses.
  • Reviewing AI suppliers and the information they provide about their systems.
  • Assessing how employee and candidate data is processed.
  • Completing Data Protection Impact Assessments where required.
  • Introducing or updating a workplace AI policy.
  • Providing appropriate AI literacy training for employees and managers.
  • Ensuring meaningful human oversight for employment decisions.
  • Keeping appropriate records of how higher-risk systems are used.
  • Creating a process for employees to raise concerns about AI use.

Employers should also clarify who within the business is responsible for approving new AI tools. Without that oversight, new systems can quickly enter the workplace without HR or management understanding how they are being used.

How HR Team Can Help

AI is creating useful opportunities for employers, but it also introduces new responsibilities around how technology is used to make or influence workplace decisions.

HR Team can support employers with:

  • Reviewing how AI is being used across HR and people-management processes.
  • Developing or updating workplace AI policies.
  • Reviewing recruitment, performance management and employee monitoring procedures.
  • Updating relevant HR policies and documentation.
  • Helping employers introduce appropriate human oversight.
  • Training managers and HR teams on responsible workplace AI use.
  • Supporting employee concerns or disputes involving AI.
  • Helping businesses prepare for changing AI and employment requirements.

If AI is already being used across your business, now is the time to make sure your HR policies and processes have caught up. Contact HR Team for practical support in managing AI in the workplace and preparing your business for the new requirements.

Frequently Asked Questions

Does the EU AI Act Apply to Employers in Ireland?

Yes. The EU AI Act applies across the EU, including Ireland. The requirements that affect an employer depend on the type of AI system being used and what it is being used for. Employers using AI in areas such as recruitment, employee monitoring or performance management need to pay particular attention to the rules.

Are Employers Allowed to Use AI for Recruitment?

Yes, but certain AI systems used to recruit or select candidates can be classed as high risk under the EU AI Act. Employers using these systems need to understand how they work, maintain appropriate human oversight and consider their obligations under data protection and employment equality law.

Can Employers Use AI to Monitor Employee Performance?

AI can support some forms of employee monitoring and performance management, but employers need to consider the purpose, proportionality, and impact of the system. Certain AI systems used to monitor or evaluate workers can also fall into the high-risk category, bringing additional requirements.

Can AI Make Decisions About Hiring or Dismissing Employees?

Employers should be particularly careful about allowing AI to make significant employment decisions without meaningful human involvement. AI can support decision-making, but GDPR rules on automated decision-making may apply where decisions are made solely through automated processing and produce legal or similarly significant effects.

Is Emotion Recognition AI Allowed in Irish Workplaces?

Generally, no. The EU AI Act prohibits AI systems that infer a person’s emotions in workplace settings. Limited exceptions exist where the technology is used for medical or safety reasons. Employers should therefore be particularly cautious about tools that claim to analyse employees’ emotions from facial expressions, voices, or behaviour.

Do Employers Need to Train Staff Who Use AI?

Employers using AI systems need to take measures to ensure an appropriate level of AI literacy among the people operating or using them. This does not mean every employee needs technical AI training. Training should reflect the person’s role, the AI tools they use and the potential risks involved.

Does Every Employer Need an AI Workplace Policy?

The EU AI Act does not require every employer to have a standalone AI workplace policy. However, clear rules on approved tools, employee data, confidentiality, human oversight, and acceptable AI use can help employers manage their broader legal and HR responsibilities.

Does GDPR Still Apply When Employers Use AI?

Yes. Using AI does not replace an employer’s GDPR obligations. Where an AI system processes employee or candidate personal data, employers still need to consider matters such as lawful processing, transparency, data minimisation, security, Data Protection Impact Assessments and the rules around automated decision-making.

 

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