×
Coca-Cola’s AI holiday ads signal creative shift for brands
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI technology is making significant inroads into mainstream advertising, as demonstrated by Coca-Cola’s latest holiday campaign that employs AI-generated video content to reimagine their classic 1995 commercial.

The groundbreaking initiative: Coca-Cola has released three new AI-generated holiday advertisements using advanced video models like Runway and Luma Dream Machine, marking a significant step forward in AI-generated commercial content.

  • The new ads draw inspiration from the company’s iconic 1995 “The Holidays Are Coming” commercial
  • The campaign represents a notable advancement in photorealistic AI-generated video
  • Initial reactions have been mixed, with creators criticizing the “AI sheen” and perceived lack of realism in generated elements

Technical challenges and legal considerations: The advertising industry currently faces specific hurdles before fully embracing AI-generated video content.

  • Industry experts indicate that current video tools like Sora, Runway, and Dream Machine require quality improvements
  • Legal indemnification remains a critical concern for widespread adoption
  • Adobe’s upcoming Firefly Video model promises to address legal concerns by training on properly licensed content

Strategic implementation and balance: Coca-Cola’s approach demonstrates how AI-generated content can be integrated into broader marketing strategies.

  • The AI advertisements are part of a comprehensive holiday campaign that includes traditional TV commercials
  • The campaign also features a multi-city truck tour, AI digital experiences, and on-package promotions
  • This mixed approach exemplifies what Forrester terms “Intelligent Creativity,” combining machine automation with human intuition

Consumer response and transparency: Initial testing reveals interesting dynamics between consumer perception and AI disclosure.

  • System1’s creative testing showed high consumer ratings (5.9 out of 6) when viewers were unaware of AI involvement
  • Creator communities have expressed concerns about job security and impact on their craft
  • Marketing experts emphasize the importance of maintaining transparency about AI use in advertising

Cost implications and effectiveness: Organizations implementing AI in marketing are seeing notable efficiency gains.

  • Some agencies report 25% or greater cost reductions in campaign development
  • Success requires significant investment in training, experimentation, and system optimization
  • Effectiveness depends on proper model training and understanding of brand values and audience preferences

Looking ahead: Balancing innovation and responsibility: The advertising industry stands at a crucial juncture where the promise of AI efficiency must be weighed against ethical considerations and brand trust.

  • While tempting to downplay AI involvement, maintaining transparency remains crucial for long-term brand trust
  • Success with AI-generated content requires careful consideration of brand equity and consumer relationships
  • The focus should remain on creating engaging, effective content rather than purely pursuing cost reduction
Coca-Cola’s AI-Generated Holiday Ads Approach A Creative Tipping Point

Recent News

7 ways to optimize your business for ChatGPT recommendations

Companies must adapt their digital strategy with specific expertise, consistent information across platforms, and authoritative content to appear in AI-powered recommendation results.

Robin Williams’ daughter Zelda slams OpenAI’s Ghibli-style images amid artistic and ethical concerns

Robin Williams' daughter condemns OpenAI's AI-generated Ghibli-style images, highlighting both environmental costs and the contradiction with Miyazaki's well-documented opposition to artificial intelligence in creative work.

AI search tools provide wrong answers up to 60% of the time despite growing adoption

Independent testing reveals AI search tools frequently provide incorrect information, with error rates ranging from 37% to 94% across major platforms despite their growing popularity as Google alternatives.