In today’s marketing landscape, Artificial Intelligence is no longer a futuristic promise; it is the operational engine behind modern engagement strategies. However, with the immense potential of data comes an increasing level of responsibility. The enforcement of the European Union’s AI Act has established a clear boundary between what is technically possible and what is ethically and legally permissible.
Approved after years of debate, this framework is not merely a technical regulation: it is an ethical and operational revolution affecting every sector, especially loyalty marketing. For those managing rewards programs and loyalty apps, understanding this regulation is not just a compliance obligation—it is a strategic opportunity to build a competitive advantage rooted in transparency, trust, and accountability.
What is the AI Act?
The AI Act is the world’s first comprehensive legal framework for Artificial Intelligence. It adopts a risk-based approach, classifying AI applications into four categories:
- Unacceptable Risk (Prohibited): Real-time facial recognition in public spaces, social scoring, and subliminal manipulation.
- High Risk: Systems used for HR profiling, credit scoring, and critical infrastructure, requiring rigorous compliance assessments.
- Limited Risk: Chatbots and deepfakes, which carry a mandatory “AI-generated” disclosure obligation.
- Minimal Risk: Generic recommendation engines and video games, which face no specific new regulations.
The objective is to ensure that AI systems used within the EU are safe, transparent, traceable, and respectful of fundamental rights. In the context of retail and loyalty, this means any algorithm analyzing purchasing behavior or automating promotional decisions must meet strict criteria for human oversight and technical clarity.
The Impact on Loyalty: From Profiling to Relationships
Modern loyalty relies on the app acting as the nerve center of the customer journey. The AI Act directly influences this mechanism through three fundamental pillars:
1. Transparency and Awareness
The consumer of 2026 is highly informed. The AI Act mandates that users must know when they are interacting with AI—such as an in-app support chatbot—or when their data is being utilized to generate personalized offers.
2. Limits on Invasive Profiling
The regulation places strict limits on social classification and behavioral profiling that could be deemed manipulative. For loyalty programs, this means gamification and instant-win algorithms must be fair and transparent. If a system excludes a user from a prize based on sensitive data or discriminatory variables, the company faces heavy sanctions. Loyalty must remain equitable, inclusive, and accessible.
3. Data Protection as Brand Value
The AI Act works in synergy with the GDPR. In 2026, a brand’s value is measured by its ability to protect the information assets of its customers. An app implementing secure, certified AI systems ensures that participation does not expose the user to data breaches or the misuse of their consumption habits.
Retailers and Shopping Centers: A New Regulatory Era
The impact on shopping centers and retailers is profound. It transforms video surveillance and behavioral analysis from simple operational tools into highly regulated systems, especially when intersected with marketing activities.
In this scenario, loyalty apps represent a fundamental tool. Because they are controlled environments based on explicit and voluntary consent, they allow brands to build a clearer, more measurable relationship with the user. Those who adapt quickly to the AI Act will communicate security, reliability, and respect for privacy—values that are central to brand reputation in 2026.
Build Your Compliant Loyalty Strategy
At LiberActa, we pay close attention to these shifts, providing our clients with compliant, up-to-date solutions consistent with evolving regulations. If you are looking for a partner to future-proof your loyalty program, you are in the right place.
Contact us at info@liberacta.com or visit our website to request a demo.