AIMS project
AI Incidents in Marketing
AI Incident Database // Generative AI & Emotional Fit

McDonald’s Netherlands and the AI Christmas ad pullback

McDonald’s Netherlands reportedly pulled an AI-made Christmas commercial after criticism, highlighting the risk of using generative AI when festive advertising depends on warmth, familiarity, and emotional resonance.

Incident typeGenerative AI, synthetic advertising, AI-generated creative
Date2025
RiskBrand reputation, emotional mismatch, creative quality, consumer trust

McDonald’s Netherlands became part of the wider debate on AI-generated advertising after an AI-made Christmas commercial drew criticism and was reportedly pulled. The incident is a useful marketing example because the issue was not primarily technical, but related to how audiences perceived the use of AI by a major brand.

Holiday campaigns often rely on warmth, familiarity, humor, and trust. When AI-generated characters or scenes feel unsettling or artificial, audiences may interpret the execution as careless rather than innovative or bold.

For a mass-market brand, this mismatch can quickly turn creative novelty into a reputational issue. The case therefore illustrates how an advertisement can appear technically plausible and production-ready while still failing to create the emotional response the campaign is intended to evoke.

What went wrong

The campaign appears to have underestimated the gap between producing a plausible festive scene and producing a scene that feels emotionally right. AI-generated imagery can be coherent enough to pass internal review while still feeling strange to the audience.

The key governance issue is therefore not limited to visual defects. A festive campaign can fail even when the generated imagery is technically acceptable if the tone, atmosphere, or characters do not feel appropriate for the brand and moment.

This use case sends an important message to marketing specialists: AI-generated creative should be evaluated for emotional reception as well as for speed, cost, and visual novelty.

Governance questions

  1. Was there a human creative review with authority to stop the launch?
  2. Were audience reactions tested with people outside the production team?
  3. Did the brand define when generative AI is appropriate for festive and family-oriented messaging?

Learning outcomes

After discussing this case, participants should be able to:

  1. Explain why technically plausible AI-generated advertising can still fail because of tone or emotional mismatch.
  2. Identify reputational risks that can emerge when generative AI is used in emotionally sensitive brand communications.
  3. Distinguish between reviewing creative for visual quality and reviewing it for audience reception.
  4. Describe why human creative oversight should include the authority to stop or revise an AI-generated campaign.
  5. Assess when audience testing may be necessary before launching AI-generated advertising.

Discussion questions

  1. Was the main problem the use of generative AI itself, or the way the final advertisement felt to viewers?
  2. What kind of audience testing would have been most useful before launch?
  3. Should brands apply stricter review standards when generative AI is used for festive, family-oriented, or emotionally important campaigns?