Marketing’s AI dilemma:
Efficiency, ethics, and earning trust

Artificial Intelligence (AI) sits by now at the very center of how brands engage, persuade, and retain customers. From personalized product recommendations and predictive analytics to automated content creation and conversational chatbots, AI promises marketers unprecedented efficiency, precision, and scalability. Yet as highlighted in Embedding AI in Society: Ethics, Policy, Governance, and Impacts (Pflanzer et al., 2023), AI is not a neutral technology. It reshapes human relationships, redefines ethical boundaries, and raises new regulatory challenges. For marketing leaders, this means that adopting AI is not just about boosting ROI but embedding trust, fairness, and responsibility into every customer interaction.

Human–AI relationships in marketing

AI alters not only workflows but also human interactions. In marketing, this plays out in how customers perceive their relationships with brands. AI-powered personalization engines can strengthen loyalty by creating experiences that feel tailored. Yet they also risk diminishing authentic human engagement, replacing creativity with algorithmic optimization.

AI-driven influencers and conversational agents blur the lines between human and machine communication. While they enhance convenience, they also raise fundamental questions: Do customers know when they are interacting with AI? And does that knowledge—or lack thereof—shape their trust in a brand?

Ethical principles in AI-driven marketing

Fairness, transparency, and accountability are recurring ethical concerns, and in marketing, these principles take on urgent practical dimensions:

• Targeting and personalization: Algorithms can unintentionally reinforce bias, excluding or stereotyping entire demographics. For example, ad-targeting systems have been shown to deliver job ads differently based on gender or socioeconomic status.
• Transparency: Customers are increasingly aware that their data fuels AI systems. Yet opaque algorithms often make it difficult for individuals to understand why they are seeing a particular ad or offer.
• Power asymmetry:The report highlights imbalances between AI developers and end-users. In marketing, this manifests as brands knowing far more about consumer behavior...