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NZ Marketers: AI's Dual Role in Media Buying and Brand Narrative
The retail brand Duluth leverages AI agents for programmatic media bidding and optimisation, demonstrating a clear distinction in AI application. While embracing AI for efficiency in ad buying, they maintain human oversight for brand storytelling and creative development. This highlights a strategic approach to AI integration, balancing automation with authentic brand voice.
What Happened
- •Duluth, a retail brand, has integrated AI agents into its media buying processes.
- •AI agents are primarily used for programmatic bidding, ad buying, and creative optimisation tasks.
- •The brand explicitly draws a line, keeping human teams responsible for core brand storytelling and creative development.
- •This approach allows AI to handle data-intensive, repetitive tasks, freeing human resources for strategic and creative work.
- •The distinction reflects a broader industry debate on the appropriate scope of AI in marketing.
- •Source: Digiday, 12 May 2026.
Why It Matters for NZ Marketers
- •NZ marketers can learn from Duluth's pragmatic approach to AI adoption, distinguishing between tasks suitable for automation and those requiring human creativity.
- •Local agencies and brands can explore AI agent solutions for optimising media spend and improving campaign performance without sacrificing brand authenticity.
- •The emphasis on human-led storytelling resonates in the NZ market, where genuine connections and local narratives are highly valued by consumers.
- •This model offers a pathway for smaller NZ marketing teams to scale operations and enhance efficiency by delegating routine media tasks to AI.
- •It prompts a review of existing marketing workflows to identify areas where AI can drive efficiency versus where human expertise is irreplaceable.
- •NZ businesses can use this as a case study to develop clear AI governance policies for their marketing departments.
Strategic Implications
- •Develop a hybrid marketing strategy that integrates AI for data-driven efficiency while preserving human creativity for brand building.
- •Invest in training marketing teams to effectively manage and interpret outputs from AI-driven media buying platforms.
- •Prioritise AI tools that offer transparency and control, allowing marketers to understand and refine AI's decision-making.
- •Allocate resources strategically, leveraging AI to automate low-value tasks and redirecting human talent to high-impact creative and strategic initiatives.
- •Establish clear guidelines for AI's role in content generation, ensuring brand voice and values are consistently upheld.
- •Evaluate potential ROI from AI agent implementation in media buying against the investment in human creative talent.
Future Trend Signals
- •Increasing specialisation of AI tools, with agents becoming highly proficient in specific marketing functions like bidding or optimisation.
- •Continued evolution of hybrid human-AI marketing teams, where collaboration is key to maximising effectiveness.
- •Greater demand for 'AI whisperers' or prompt engineers who can effectively guide AI for creative and strategic tasks.
- •Ethical considerations around AI-generated content and brand authenticity will become more prominent.
Sources
Editorial note: This analysis is original, AI-assisted editorial content. All source material is attributed with links. No full articles are reproduced. Short excerpts are used under fair dealing principles.
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