EU AI Act 2026: What companies must now consider
EU AI Act 2026: What companies must now consider
With the entry into force of the first binding regulations, the European Union has ushered in a new phase in the control and management of artificial intelligence. Central bans have already been in place since the beginning of 2025, while further comprehensive obligations will be implemented gradually until 2026 and beyond.
For companies, this means that AI is no longer just a field of innovation – but a clearly regulated legal area with considerable risks.
First bans already active – further rules to follow
Certain applications of artificial intelligence have been completely banned in the EU since February 2025. These mainly affect systems that are classified as particularly risky or socially questionable.
These include, but are not limited to:
- Social scoring (rating people by behavior)
- Emotion recognition in sensitive areas such as the workplace or education
- Real-time biometric surveillance in public spaces
- Manipulative or deceptive AI systems
- Uncontrolled collection of biometric data
The EU is thus pursuing a clear approach: technologies that endanger fundamental rights are to be consistently excluded.
Massive penalties for violations
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Companies that violate the requirements of the EU AI Act risk severe sanctions.
- Up to 7% of global annual turnover Alternatively ,
- several million euros depending on the severity of the infringement
This means that the regulation is at a similar level to the GDPR – with a correspondingly high level of enforcement.
2026: The real pressure begins now
While many companies were still in the preparation phase in 2024 and 2025, a clear trend is emerging in 2026:
The pressure is increasing on two levels at the same time:
- Economic:
AI investments must deliver measurable results (ROI) - Regulatory:
Systems must be legally compliant, transparent and traceable
Many companies are currently caught between these two requirements – and this leads to a structural problem:
- High expectations of AI
- Technical and legal hurdles
at the same timeThe result: Many pilot projects do not make it into productive use.
Data quality becomes a decisive success factor
A central point that is clearly evident in current analyses and market observations:
Without clean data, there is no functioning AI – and no compliance.
Companies must ensure that their data
is - correct and up-to-date ,
- fully integrated ,
- traceable, documented ,
- cleanly structured
.
The topic of data governance is no longer optional, but has become business-critical.
EU law applies worldwide – not only within Europe
A crucial point that is often underestimated:
The EU AI Act has an extraterritorial effect.
In concrete terms, this means
:Companies outside the EU are also subject to regulation if:
- their AI systems are used in the EU
- their results affect EU citizens
- they offer products or services in the EU
Example:
A company from the USA or Asia that uses AI for recruiting in Europe must fully comply with EU rules.
A company from the USA or Asia that uses AI for recruiting in Europe must fully comply with EU rules.
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Companies must act actively now
The most important measure at the moment is a clear inventory:
Where is AI used in the company at all?
Building on this, companies must:
- Identify all AI applications
- Assess risk classes
- Immediately discontinue prohibited systems
- Establish governance structures
- Train
employees in the use of AI The topic of AI literacy in particular is becoming increasingly mandatory.
Employees need to understand:
- how AI works
- What risks exist
- What legal limits apply
Legal complexity is increasing significantly
The EU AI Act does not stand in isolation, but works together with:
- Data protection law (GDPR)
- Copyright
- Anti-discrimination laws
For companies, this creates a complex web of regulations that must be neatly coordinated.
The EU's goal: Control instead of slowing down innovation
Despite the strict rules, the EU is pursuing a clear goal:
creating trust in AI – not preventing innovation.
The approach:
- Increase transparency ,
- minimise risks ,
- protect fundamental rights
At the same time, companies should continue to be able to use AI in an economically sensible way.
Conclusion: AI without a strategy becomes a risk
The time for experiments is over.
2026 clearly shows:
AI is no longer a playground, but a regulated corporate sector.
Companies that do not act now risk:
- high penalties
- Reputational damage Operational
- problems
On the other hand, those who take a structured approach early on can secure a clear competitive advantage.
The decisive question is no longer whether AI is used –
but whether it is used in a legally compliant and controlled manner.
but whether it is used in a legally compliant and controlled manner.
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Author: Tom Weyermann / MF-Redaktion
Source: Invidia News / EU
