If you use ChatGPT, Microsoft Copilot or other artificial intelligence in the workplace, the EU AI Act is already relevant to you and your employer.
The important distinction is that the EU AI Act does not create a separate regulatory category called “employee.” Most obligations fall on organizations acting as providers or deployers of an AI system. Employees matter because they are often the people who use AI tools, enter data, interpret outputs, apply recommendations or are affected by an AI-supported employment decision.
For an employer, the use of AI at work can therefore involve:
- AI literacy and employee training;
- recruitment and employment practices;
- human oversight;
- AI discrimination and algorithmic bias;
- personal data and privacy;
- transparency;
- AI governance;
- high-risk AI systems.
For an employee, the practical questions are more immediate:
What AI tools can I use? What information can I enter? When should I verify an answer? Can AI make decisions about my employment? What does my employer need to tell or teach me?
This guide explains how the EU AI Act applies to those questions.
For the wider legal framework, read our complete guide to the EU AI Act.
What Employees Need to Know About the EU AI Act
The EU AI Act already regulates important aspects of AI in the workplace, although different requirements apply on different dates.
The main points for employees and employers are:
- The EU AI Act is the European Union’s risk-based AI law.
- The regulation entered into force on August 1, 2024.
- Article 4 on AI literacy has applied since February 2, 2025.
- A much larger part of the AI regulation became applicable in August 2026.
- The European Commission expressly discusses employees using ChatGPT when explaining AI literacy.
- Employers do not have to prove that every employee reaches one fixed level of AI literacy.
- Certain uses of AI in recruitment, hiring and worker management can qualify as high-risk AI systems.
- The main Annex III obligations affecting those employment systems apply from December 2, 2027.
- Certain emotion-recognition AI practices in the workplace are already prohibited, subject to limited exceptions.
- GDPR compliance does not automatically equal EU AI Act compliance.
- The AI Act does not replace national employment law.
The core principle is that the Act regulates the use of AI, not simply whether software contains artificial intelligence.
Regulating AI in the Workplace: What Does the EU AI Act Do?
The EU AI Act regulates AI according to the purpose of the system and the level of risk created by its use.
It does not prohibit employers from using AI tools in general.
Instead, the legislation distinguishes between different AI practices and systems. Some uses carry relatively limited regulatory requirements, while others are prohibited or treated as high risk.
In a workplace, AI can be used for many different purposes:
- drafting and summarizing documents;
- analyzing data;
- customer service;
- internal automation;
- recruitment;
- résumé screening;
- candidate evaluation;
- employee monitoring;
- performance assessment;
- workforce management.
These uses are not treated identically.
Using generative AI to summarize meeting notes is fundamentally different from using an AI system to rank job applicants or influence whether someone receives a promotion.
This risk-based approach is how the EU chooses to regulate AI in the workplace.
Who Does the EU AI Act Apply To at Work?
The AI Act primarily places obligations on organizations and other defined operators rather than individual employees.
Important categories include:
- providers of AI systems;
- deployers of AI systems;
- importers;
- distributors;
- providers of general-purpose AI models.
An employee normally does not become a provider or deployer simply because they use an AI tool at work.
An employer, however, can be a deployer when it uses an AI system under its authority as part of a professional activity.
For example, an employer might use AI to:
- help employees write documents;
- summarize meetings;
- analyze company information;
- screen job applicants;
- assess candidates;
- allocate work;
- monitor performance.
The employee may then be the person operating the technology or the person affected by its output.
This is why both employers and employees need to understand how the AI Act applies even though their legal roles are different.
What Does the EU AI Act Require From an Employer?
There is no single list of obligations that applies to every employer using artificial intelligence.
The requirements depend on:
- what the AI system does;
- how it is used;
- whether the employer is acting as a deployer;
- the level of risk;
- whether another part of EU or national law also applies.
For many organizations, the most immediately relevant employer duties include:
- supporting AI literacy among relevant staff;
- identifying the AI systems being used;
- checking for prohibited AI practices;
- identifying potentially high-risk employment systems;
- defining appropriate human oversight;
- protecting personal and confidential data;
- establishing AI governance and internal policy;
- preparing for future high-risk requirements.
An employer does not need to stop all AI use.
It needs to understand and govern the use of AI systems appropriately.
Article 4: AI Literacy for Employees Who Use AI
Article 4 of the EU AI Act requires providers and deployers to take measures supporting AI literacy among staff and other people who use AI systems on their behalf.
The requirement has applied since February 2, 2025.
The European Commission’s official AI literacy guidance explains that organizations should take account of factors such as:
- technical knowledge;
- experience;
- education;
- training;
- the AI technology being used;
- the context in which the AI system is used.
This means an employer should not treat AI training as identical for every employee.
A marketing professional using generative AI to develop a first draft has different needs from an HR manager using an AI hiring tool.
What changed in 2026?
The original legislation referred to ensuring a “sufficient” level of AI literacy.
That wording changed in 2026.
An employer is no longer required to guarantee that every individual reaches one specific level of AI literacy.
The obligation is instead to take measures that support the development of appropriate knowledge and understanding.
For more detail, read our guide to AI literacy and Article 4 of the EU AI Act.
Does an Employer Have to Provide AI Training?
The EU AI Act does not require one specific course, certificate or standardized training program.
However, an employer acting as a deployer must take appropriate measures to support AI literacy where Article 4 applies.
Those measures can include:
- structured AI training;
- online courses;
- practical workshops;
- internal policies;
- approved-tool guidance;
- tool-specific instructions;
- documentation;
- refresher sessions;
- role-specific training.
What matters is whether the approach is appropriate to the use of AI systems within the organization.
For example:
An employee who uses Microsoft Copilot to summarize meetings should understand confidentiality, data handling and verification.
An employee involved in recruitment may need additional understanding of AI discrimination, algorithmic bias, human oversight and employment law.
The two employees do not necessarily need the same training.
Generative AI in the Workplace: ChatGPT, Copilot and Other AI Tools
The European Commission specifically uses employees working with ChatGPT as an example when explaining the AI literacy obligation.
For many employees, generative AI is therefore the most immediate form of artificial intelligence they encounter at work.
Common workplace uses include:
- drafting emails;
- summarizing information;
- generating reports;
- researching topics;
- creating presentations;
- translating text;
- analyzing documents;
- generating ideas;
- assisting with software or data work.
These uses are not automatically high risk.
But employees still need to understand the limitations of generative AI tools.
1. AI Can Produce Incorrect Information
An AI model can generate false or misleading information that sounds convincing.
Before using an AI-generated answer in:
- a report;
- a proposal;
- a presentation;
- a customer communication;
- research;
- an important decision;
consider whether the information needs independent verification.
The more significant the potential impact, the stronger the need for human review.
2. Not All Data Should Be Entered Into AI Tools
The ability to paste information into an AI tool does not mean the employer has authorized that use.
Employees should be particularly careful with:
- personal data;
- employee information;
- customer data;
- confidential company information;
- contracts;
- commercially sensitive information;
- intellectual property.
The organization’s AI policy, privacy rules and security requirements should determine what information can be used.
3. Employees Should Use Approved AI Tools
An employer should define which AI tools are approved and under what conditions.
Using an enterprise account with organizational controls is not necessarily equivalent to entering company information into a free public service.
Employees should know:
- which tools are permitted;
- which account they should use;
- what data can be entered;
- what uses require approval;
- who to ask when they are unsure.
4. Human Oversight Still Matters
Using AI does not transfer professional responsibility to the software.
Employees should understand:
- when an output needs checking;
- when a recommendation can be challenged;
- when a human must make the final decision;
- when an issue should be escalated.
The level of human oversight should reflect the risk and importance of the task.
AI Employment Decisions: Recruitment, Hiring and Worker Management
The use of AI in employment is one of the areas specifically addressed by the EU Artificial Intelligence Act.
Certain systems used in employment practices can qualify as high-risk AI systems.
Examples include AI systems used for:
- recruitment;
- filtering résumés;
- evaluating applicants;
- ranking candidates;
- determining access to employment;
- promotion;
- decisions affecting working conditions;
- allocation of tasks based on personal characteristics or behavior;
- monitoring worker performance;
- employee evaluation.
This does not mean every piece of HR software is high risk.
The specific function matters.
For example:
Using AI to rewrite a job description
is not equivalent to:
using an automated employment decision tool to score applicants and determine who receives an interview.
The second use directly influences an employment decision and therefore creates a very different risk profile.
When Is an AI Employment System High Risk?
An employment AI system may fall within the EU AI Act’s high-risk framework when it significantly affects applicants or employees.
Examples can include systems used to influence:
- hiring;
- candidate selection;
- promotion;
- task allocation;
- performance assessment;
- worker management;
- termination-related decisions.
An applicant tracking system does not automatically become high risk simply because it uses artificial intelligence.
The organization needs to understand what the AI functionality actually does.
If software only stores résumés, that is different from an AI system that evaluates them and recommends which applicants should progress.
That distinction is central to responsible AI employment practices.
When Do the High-Risk AI Employment Rules Apply?
The principal Annex III high-risk requirements for employment systems apply from December 2, 2027.
The timetable changed following the 2026 Digital Omnibus on AI.
The European Commission maintains the current AI Act implementation timeline.
Depending on the AI system and the organization’s role, future requirements can include:
- risk management;
- data governance;
- technical documentation;
- logging and traceability;
- information for the deployer;
- human oversight;
- accuracy;
- robustness;
- cybersecurity.
Employers should not interpret the 2027 deadline as permission to ignore these systems until then.
Other obligations already apply, including AI literacy and prohibited AI practices.
Employment law, GDPR and other laws and regulations may also already affect the same use.
AI Discrimination, Algorithmic Bias and Employment Law
An employer remains responsible for understanding the risks of an AI-supported employment process.
Artificial intelligence can reproduce or amplify problems contained in:
- historical data;
- training data;
- selection criteria;
- performance measures;
- the design of an algorithm;
- assumptions made during implementation of AI.
This creates the possibility of algorithmic bias.
For applicants and employees, the concern is whether AI affects access to work, promotion, evaluation or other employment outcomes unfairly.
For an employer, this means efficiency cannot be the only consideration when adopting an AI system.
The organization should consider:
- what information the AI system uses;
- whether historical data contains bias;
- what factors influence its output;
- whether a human can challenge the result;
- whether an AI recommendation is being treated as automatically correct.
AI discrimination can therefore become an issue involving employment law, data protection, fundamental rights and regulatory compliance as well as technology.
EU AI Act and AI Employment Law: How the Rules Fit Together
The EU AI Act does not replace existing employment law.
Instead, AI regulation adds another legal layer to the employment relationship.
Depending on the workplace and jurisdiction, the same AI use may need to comply with:
- the EU AI Act;
- national employment law;
- anti-discrimination law;
- data protection law;
- health and safety law;
- collective agreements;
- employment contracts;
- workplace policies.
This means there is no single standalone body of AI employment law that replaces existing labor and employment rules.
An employer needs to understand how the development and use of AI interacts with the wider legal environment.
Emotion Recognition and AI Surveillance in the Workplace
The EU AI Act bans certain AI systems intended to infer emotions in the workplace, subject to narrow medical or safety exceptions.
The same prohibition applies in educational institutions.
This matters as organizations consider technologies involving:
- biometrics;
- facial analysis;
- behavioral monitoring;
- surveillance;
- automated worker evaluation.
Not every facial recognition system is an emotion-recognition system.
The purpose and functionality matter.
Employers should therefore assess what a technology actually does before introducing it into the workplace.
Commercial availability does not automatically mean that a particular use is permitted.
EU AI Act and GDPR: Different Rules for AI and Data
The EU AI Act and the General Data Protection Regulation are separate laws.
GDPR
The GDPR governs the processing of personal data.
EU AI Act
The AI Act regulates certain AI systems and AI practices based on function and risk.
Both frameworks can apply to the same workplace process.
For example, if an employer uses AI to analyze job applications, it may need to consider:
- whether the AI system falls into a high-risk category;
- what personal data it processes;
- the legal basis for processing;
- what applicants are told;
- whether sensitive information is involved;
- how long data is retained;
- the contract with the AI provider;
- algorithmic bias;
- security;
- human oversight.
Therefore:
GDPR compliance does not automatically equal AI Act compliance.
And AI Act compliance does not eliminate GDPR responsibilities.
AI and Data Protection: Questions Employees Should Ask
Before using an AI tool with personal or corporate information, ask:
- Has my employer approved this AI tool?
- What information will the system process?
- Where will the data be processed or stored?
- Does the provider use inputs to improve or train AI models?
- Am I entering personal data?
- Does the content contain confidential information?
- Does it contain employee or customer information?
- Is there an AI policy governing this use?
- Does a human need to review the result?
- Who should I contact if I am unsure?
If the answer is unclear, the safer approach is to ask before introducing sensitive information.
What Should an Employer Ask an AI Provider?
Good AI governance also requires employers to understand third-party AI technology.
Useful questions include:
- What exactly does the AI system do?
- What data does it process?
- Does the provider use organizational data to train AI models?
- What limitations has the provider identified?
- What security controls are available?
- How can a human review or override the output?
- What documentation is available regarding the EU AI Act?
- Does the system rely on a general-purpose AI model?
- What administrative controls are available?
- Can the system influence an employment decision?
Employers should document important answers rather than assume responsibility sits entirely with the software provider.
Transparency Rules When Employees or Customers Interact With AI
Certain transparency requirements under the EU AI Act have applied since August 2026.
Where an AI system is designed to interact directly with people, disclosure may be required if it is not otherwise obvious that the person is interacting with AI.
This can matter for:
- customer-service chatbots;
- digital assistants;
- automated support;
- public-facing AI systems.
It does not mean every internal email partly drafted with ChatGPT needs an AI label.
Transparency requirements depend on the system and its actual use.
What About General-Purpose AI Models?
Many workplace AI tools are built on general-purpose AI models.
The providers of those models have their own requirements under the EU AI Act relating to matters including:
- technical documentation;
- information for downstream providers;
- copyright;
- information about training content.
The European Commission provides separate guidance on obligations for general-purpose AI model providers.
Those requirements apply to the model provider.
Employees who use AI systems powered by those models do not become model providers.
Likewise, an employer that uses a third-party generative AI product does not automatically become responsible for the obligations applying to the underlying general-purpose model.
Its own role and use still need to be assessed.
Can an Employee Refuse to Use AI at Work?
The EU AI Act does not create a general right to refuse to use AI simply because a task involves artificial intelligence.
Whether an employee can refuse a particular use may depend on:
- applicable employment law;
- the employment contract;
- collective agreements;
- internal policy;
- data protection requirements;
- health and safety;
- discrimination;
- whether the requested activity itself is lawful.
For example, refusing to enter protected or confidential information into an unauthorized AI tool is not the same question as refusing to use an approved productivity tool.
Specific disputes depend on the applicable national law and circumstances.
Can an Employer Dismiss Someone for Refusing to Use AI?
The EU AI Act does not create a special rule allowing or preventing dismissal because an employee refuses to use AI.
Any employment decision would still need to comply with the applicable employment law.
Relevant issues may include:
- the reason for the refusal;
- whether the employer’s instruction was lawful;
- contractual duties;
- workplace policy;
- discrimination;
- health and safety;
- collective rights;
- national employment protections.
The AI Act therefore forms only one part of the legal analysis.
How Employers Should Implement AI in the Workplace
Employers should govern AI based on actual use, risk and impact rather than trying to create one generic rule for every AI technology.
A practical implementation framework is:
1. Inventory the AI Tools Being Used
Identify the AI systems used throughout the organization.
Include:
- officially purchased software;
- ChatGPT and other generative AI tools;
- Microsoft Copilot;
- HR systems;
- automation platforms;
- specialist AI applications.
Shadow use matters too. Employees may already use AI outside centrally approved systems.
2. Map Each AI System to Its Use Case
Do not record only the product name.
Document:
- what the system does;
- who uses it;
- what information it receives;
- what output it generates;
- what process it supports.
3. Identify Employment Decisions
Pay particular attention where AI affects:
- recruitment;
- hiring;
- candidate evaluation;
- promotion;
- employee assessment;
- allocation of work;
- monitoring;
- performance management.
4. Assess the Regulatory Risk
Check whether the AI use involves:
- a prohibited AI practice;
- a potentially high-risk AI system;
- transparency requirements;
- personal or sensitive data;
- algorithmic bias;
- material effects on applicants and employees.
5. Establish an AI Policy
A practical AI policy should make clear:
- approved AI tools;
- prohibited uses;
- data-handling requirements;
- when human oversight is required;
- how employees should report problems;
- who owns AI governance internally.
6. Develop AI Literacy
Training should reflect:
- employee role;
- experience;
- AI tools used;
- risk;
- responsibility.
AI literacy should be connected to real workplace use rather than treated as a generic compliance exercise.
7. Review AI Providers
Understand:
- functionality;
- data use;
- security;
- model limitations;
- documentation;
- human oversight;
- compliance information.
8. Keep Appropriate Evidence
Depending on the use case, employers may document:
- AI systems;
- policies;
- training;
- risk assessments;
- provider reviews;
- approvals;
- governance decisions.
9. Review AI Use Regularly
AI adoption changes quickly.
New features or new ways of using the same software can alter the regulatory risk.
The implementation of AI should therefore be treated as an ongoing governance process.
What Should Employees Do When Using AI at Work?
Employees do not need to become lawyers or AI engineers.
They do need enough understanding to use AI responsibly.
A practical employee checklist is:
- use AI tools approved by your employer;
- understand what information you can enter;
- follow company policy;
- verify important AI-generated outputs;
- understand when human review is required;
- do not treat an AI recommendation as automatically correct;
- report unexpected or harmful results;
- ask when the rules are unclear.
Responsible AI use depends on judgment as much as technical knowledge.
Is an Employer Breaking the AI Act Simply by Using AI?
No. The use of artificial intelligence in the workplace is not itself prohibited.
The question is whether the particular AI practice complies with the rules that apply to it.
Employers should already be checking:
- prohibited AI practices;
- Article 4 AI literacy;
- applicable transparency obligations;
- GDPR and data protection;
- employment practices involving AI;
- potentially high-risk systems ahead of the 2027 deadline.
The correct position is therefore neither:
“All workplace AI is prohibited.”
nor:
“Nothing matters until 2027.”
Different obligations under the AI Act have different implementation dates.
Frequently Asked Questions About the EU AI Act for Employees
Does the EU AI Act apply directly to employees?
Employees are not a primary regulated operator category like providers or deployers. However, the Act directly affects how organizations manage people who use AI systems on their behalf.
Does my employer have obligations if employees use ChatGPT?
Potentially, yes. The European Commission specifically uses employees working with ChatGPT as an example when explaining Article 4 AI literacy.
Does an employer have to provide AI training?
Article 4 requires providers and deployers to take measures supporting AI literacy. It does not mandate one specific course or certification.
Do all employees need the same AI training?
No. Training should reflect the employee’s role, knowledge, experience, context and the AI tools they use.
Is AI recruitment considered high risk?
Certain AI systems used for recruitment, candidate screening and candidate evaluation can fall within the high-risk employment category under Annex III.
Can an automated employment decision tool be high risk?
Yes. If an AI-powered tool evaluates applicants or materially influences an employment decision, its specific function may bring it within the high-risk framework.
When do the main high-risk employment rules apply?
The principal Annex III requirements apply from December 2, 2027.
Can an employer use AI to recognize employees’ emotions?
Certain AI systems intended to infer emotions in the workplace are prohibited, except for specific medical or safety exceptions.
Can I use personal data in ChatGPT at work?
It depends on the tool, account, employer policy, purpose and applicable data protection requirements. Technical capability does not equal authorization.
Can I refuse to use AI at work?
The AI Act does not establish a general right to refuse AI. Other employment, contractual, data protection or worker rights may be relevant depending on the situation.
Can my employer fire me for refusing to use AI?
The AI Act itself does not create special dismissal rules. The legality of any employment decision depends on the applicable national employment law and circumstances.
Are the EU AI Act and GDPR the same law?
No. GDPR governs personal data. The EU AI Act regulates certain AI systems and practices according to their function and risk.
Does Article 4 compliance mean an employer complies with the whole AI Act?
No. AI literacy is one requirement within a much broader regulatory framework.
Build Practical AI Literacy for Employees and Employers
Artificial intelligence is already part of everyday work.
The objective is not to prevent people from using AI or turn every employee into a technical specialist.
It is to ensure people understand:
- what their AI tools can do;
- where those tools can fail;
- what information can be used;
- what needs to be verified;
- when human oversight is necessary;
- when a decision should be escalated.
For a deeper explanation of the training requirement, read our guide to AI literacy and Article 4 of the EU AI Act.
Organizations that need to develop these skills systematically can explore the Founderz AI Literacy program, designed to help professionals and teams develop practical AI skills and responsible workplace use.
For the broader regulatory picture, see our complete EU AI Act guide.
Disclaimer: This article is provided for informational and educational purposes only. It does not constitute legal advice or determine whether a particular employer, AI system, employment practice or use case complies with the EU AI Act, GDPR, national employment law or other applicable legislation.