AI Literacy Training Under Article 4: What Employers Must Provide

Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures supporting the AI literacy of their staff and anyone else dealing with AI systems on their behalf. Since the Digital Omnibus amendment entered into force in mid-July 2026, the obligation no longer specifies a “sufficient” level of literacy, but the duty to act itself remains, and national market surveillance authorities began enforcing it from August 2, 2026. For employers, this means AI literacy requirements under Article 4 are a live, enforceable obligation today, not a future compliance item.

This guide covers what Article 4 actually says, what changed under the Digital Omnibus, who counts as in scope, and the practical steps the European Commission itself recommends. For organizations managing multiple AI systems, these requirements also sit within a wider EU AI Act compliance process that can include risk assessment, governance, documentation, and readiness activities.

This guide covers everything you need to know about AI literacy training under Article 4. For deeper detail on specific areas, see:

• EU AI Act Article 4 Explained: AI Literacy Requirements
• Who Needs AI Literacy Training Under the EU AI Act?
• AI Literacy Training Checklist for Companies
• How to Create an EU AI Act AI Literacy Program
• AI Literacy Documentation: What Should Companies Record?

What Does Article 4 Actually Say?

Article 4(1) of the EU AI Act, in its original form, read: “Providers and deployers of AI systems shall take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf, taking into account their technical knowledge, experience, education and training and the context the AI systems are to be used in, and considering the persons or groups of persons on whom the AI systems are to be used.”

AI literacy itself is defined separately, in Article 3, point 56: skills, knowledge, and understanding that allow providers, deployers, and affected persons to make an informed deployment of AI systems, and to gain awareness of the opportunities, risks, and possible harm AI can cause.

Two things stand out in this definition. First, Article 4 is not limited to high-risk AI systems, it applies to AI literacy broadly, across whatever AI an organization provides or deploys. Second, the obligation is explicitly contextual: the measures a company needs to take depend on staff members’ existing technical knowledge, experience, education, and training, and on the specific AI systems and purposes involved. This contextual approach is also relevant when organizations conduct EU AI Act risk assessment activities and determine what different teams need to understand about the systems they use.

What Changed Under the Digital Omnibus

This is the detail that has shifted significantly in 2026, and it is where a lot of existing commentary on Article 4 has gone out of date.

The European Commission proposed the Digital Omnibus on AI on November 19, 2025, as part of a wider effort to simplify the EU’s digital rulebook. Among its targeted amendments was a change to Article 4 itself. According to the Commission’s own AI Literacy Q&A, last updated July 27, 2026, Article 4 was amended to ensure AI literacy remains an obligation for providers and deployers, but no specific, or “sufficient,” level of AI literacy is mandated.

In practical terms, the word “sufficient” and the specific standard it implied have been removed from the operative text. What remains is the duty to take measures supporting AI literacy development, without a fixed bar that regulators or courts can point to as “the” required level.

This did not remove the obligation. The Commission’s Q&A is explicit that AI literacy “remains an obligation for providers and deployers of AI systems.” It also confirms that for organizations deploying high-risk AI systems, the separate obligation under Article 26 to ensure staff are trained for human oversight remains fully in place and is unaffected by the Article 4 amendment.

Before and After: What the Amendment Changed

Element	Before Digital Omnibus	After Digital Omnibus (current)
Core obligation	Take measures to ensure AI literacy	Take measures to support AI literacy development
Standard required	“Sufficient level” of AI literacy	No specific or “sufficient” level mandated
Scope of AI systems covered	All AI systems, not just high-risk	Unchanged
High-risk deployer training (Article 26)	Separate, in force	Unchanged, still in force
Commission/Member State role	General support	Must publish compliance examples via the Single Information Platform
AI Board role	Not specified	Must adopt recommendations on common objectives (Article 4(3))

Who Actually Needs to Be Covered?

Article 4 reaches further than many employers assume. The Commission’s FAQ clarifies that “other persons dealing with the operation and use of AI systems on behalf of providers/deployers” are not limited to employees. This phrase is understood broadly to include anyone under the organization’s remit who interacts with its AI systems, which can include contractors, service providers, and in some circumstances, clients.

The reasoning connects to Article 3, point 56 and recital 20 of the Act, which frame AI literacy as something that should also reach affected persons, people whose rights or interests are shaped by an AI-assisted decision, where the context makes that relevant. A customer affected by an AI-driven credit or recruitment decision is a different category from an employee operating the tool, but the underlying logic of informed, risk-aware AI use runs through both.

One practical example the Commission addresses directly: if employees use a general-purpose tool like ChatGPT for tasks such as drafting advertising copy or translating text, the organization is expected to have informed them about the specific risks involved, hallucination being the example the Commission names explicitly.

The Commission’s Minimum Compliance Framework

Rather than mandating a single training format, the European Commission’s AI Literacy Q&A sets out four steps organizations should work through to comply with Article 4:

1. a) Build a general understanding of AI within the organization. What is AI, how does it work, what AI is actually in use, and what are its opportunities and dangers in this specific context.
2. b) Identify the organization’s role. Is the company developing AI systems (a provider), or only using systems built by someone else (a deployer)? This distinction shapes which measures are proportionate.
3. c) Assess the risk level of the AI systems involved. What do employees working with a given system need to know, what risks exist, and what mitigation do they need to be aware of. This makes EU AI Act risk assessment an important part of understanding the training needs associated with different AI systems.
4. d) Build concrete literacy actions from that analysis. This should account for differences in staff members’ existing technical knowledge, experience, education, and training, as well as the sector, purpose, and the people the AI system affects.

The Commission notes that these four considerations, together, should also connect to legal and ethical aspects, meaning a genuine Article 4 program should touch on understanding of the AI Act itself, not just operational mechanics of a given tool. For organizations working toward EU AI Act readiness, this creates a practical connection between AI literacy, risk management, governance, and evidence.

Is Formal Training Mandatory, or Are Other Measures Acceptable?

Article 4 does not mandate a specific training format, and no certificate is required. The Commission’s FAQ states plainly that there is no one-size-fits-all approach, and that the right measures depend on the four-step analysis above, along with any future recommendations the AI Board issues under Article 4(3).

That said, the Commission also cautions that simply pointing staff to a system’s instructions for use is often not enough on its own. A practical AI literacy training checklist helps translate this into concrete, repeatable steps: training and guidance appropriate to each target group’s actual starting knowledge and the context of use, not a single generic notice everyone is expected to read once.

Documentation requirements are deliberately light. Organizations do not need a certificate to demonstrate compliance; an internal record of trainings or other guiding initiatives is sufficient under the current framework. Similarly, no specific AI governance structure, such as a dedicated AI officer, is mandated by Article 4 itself, unlike the GDPR’s Data Protection Officer requirement.

For organizations managing several AI tools, an EU AI Act compliance platform can also help connect AI governance activities with risk information, documentation, and training records rather than keeping each activity in separate systems.

Enforcement: Who Checks This, and From When

Article 4 entered into application on February 2, 2025, meaning the underlying obligation to support staff AI literacy has applied since that date. Supervision and enforcement, however, is handled differently from how the AI Office oversees other parts of the Act.

According to the Commission’s own FAQ, enforcement of Article 4 sits with national market surveillance authorities in each member state, not the AI Office directly, and those authorities began supervising and enforcing the rules as of August 2, 2026. For organizations operating in Germany, that routes through the Bundesnetzagentur as the default market surveillance authority under KI-MIG, alongside sector-specific regulators such as BaFin for financial services, the national implementation we cover in detail in our guide to Germany’s EU AI Act competent authorities.

Penalties for non-compliance are based on national laws that member states were required to adopt, and the Commission is explicit that enforcement follows a proportionate approach: any sanction must reflect the nature, gravity, and intentional or negligent character of the specific infringement. The Commission notes that proof of an actual incident linked to inadequate staff training or guidance makes enforcement action more likely.

Separately, the AI Act does not create a general right for an employee to sue their employer for compensation over inadequate Article 4 training. Private enforcement under the Act works through the normal route of a person who suffers harm pursuing a claim under applicable national law, rather than a standalone right created by Article 4 itself.

A Note for Employers in Germany

German employers face an additional, distinct layer that Article 4 itself does not address: co-determination rights. Under Section 96 and following of the German Works Constitution Act (Betriebsverfassungsgesetz), works councils have defined rights regarding employee training measures. Legal commentary on Article 4 implementation in Germany notes that any AI literacy training rolled out to satisfy Article 4 needs to account for these existing co-determination obligations, not just the AI Act’s own requirements. This is a genuinely separate legal track running alongside Article 4 compliance, and one that is easy to miss if AI literacy planning is treated as a purely EU-level question.

What Should Employers Document?

Given the light-touch documentation standard the Commission has confirmed, a practical record for Article 4 purposes should still capture enough to demonstrate the four-step reasoning behind your approach:<

• Which AI systems are in use across the organization, and by whom
• The organization’s role for each system, provider, deployer, or both
• The risk assessment behind each system, and what staff were told about it
• What training or guidance was actually delivered, to which groups, and when
• How the approach differs for high-risk systems subject to the separate Article 26 human oversight training duty

Keeping this connected to your actual AI inventory matters more than producing a single standalone policy document, since the obligation is explicitly tied to the specific systems and people involved, not a generic company-wide statement. This also gives organizations a stronger basis for demonstrating EU AI Act readiness as their AI portfolio and associated training requirements evolve.

How AnnexOps Helps

Tracking AI literacy obligations becomes genuinely difficult once an organization has AI systems spread across several departments, each with different staff, different risk profiles, and different training needs. AnnexOps’ AI Literacy & Training Tracker connects training records directly to the AI systems and people they relate to, so the four-step reasoning the Commission describes, understanding the system, confirming the organization’s role, assessing risk, and building appropriate literacy measures, stays documented and auditable rather than scattered across spreadsheets, emails, and HR systems that don’t talk to each other.

As AnnexOps AI Compliance Software, AnnexOps also supports broader AI compliance operations around system inventories, risk context, governance, documentation, and evidence. Its compliance workflow can help organizations connect AI literacy activities with the wider processes used to prepare for the EU AI Act.

For organizations that need to understand changing AI risk across their systems, an AI risk classification tool EU AI Act workflow can also help connect system-level risk information with the people and controls associated with those systems. Where ongoing oversight is required, an AI based continuous monitoring platform can provide another layer of visibility across AI compliance operations.

Related Reading

• EU AI Act Article 4 Explained: AI Literacy Requirements
• Who Needs AI Literacy Training Under the EU AI Act?
• AI Literacy Requirements for Employers in Europe
• AI Literacy Training Checklist for Companies
• How to Create an EU AI Act AI Literacy Program
• AI Literacy Documentation: What Should Companies Record?
• How to Assess Employee AI Literacy

This article reflects Article 4 as amended by the Digital Omnibus and the European Commission’s guidance as published. The AI Board’s recommendations under Article 4(3) and further national enforcement guidance continue to develop; confirm your organization’s specific position with legal counsel before relying on this for a compliance decision.

Author: Nitin Grover

Nitin Grover is an AI compliance strategist and writer focused on EU AI Act compliance, AI governance, Annex IV documentation, AI risk management, and AI compliance operations for AI startups, SaaS companies, and enterprise AI teams across Europe.