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AI Capability Gap: ADMA Podcast Highlights Urgent Need for Marketer Upskilling
ADMA's new podcast episode underscores the critical role of AI in marketing's future, emphasizing the need for marketers to develop AI competencies. It addresses current skill deficits and promotes responsible AI integration, drawing insights from their recent AI Talent & Trust Report.
What Happened
- •ADMA launched a new podcast episode on 17 March 2026, focusing on AI's application in marketing.
- •The episode discusses how marketers can effectively leverage AI tools and strategies.
- •It specifically addresses existing capability gaps within the marketing profession regarding AI.
- •Insights from ADMA's AI Talent & Trust Report were featured to support the discussion.
- •The importance of responsible AI adoption and ethical considerations was highlighted.
Why It Matters for NZ Marketers
- •NZ marketers face similar AI adoption challenges and capability gaps as their Australian counterparts.
- •Proactive engagement with AI tools is crucial for maintaining competitive advantage in the NZ market.
- •Local talent development initiatives are needed to equip NZ marketers with essential AI skills.
- •Ethical AI frameworks are increasingly important for NZ brands to build and maintain consumer trust.
- •Understanding global best practices, as discussed by ADMA, helps NZ marketers benchmark their own progress.
Strategic Implications
- •Prioritise investment in AI literacy and upskilling programs for marketing teams.
- •Develop clear internal guidelines for ethical and responsible AI use in campaigns and data analysis.
- •Evaluate current marketing tech stacks for AI integration potential and future-proofing.
- •Foster a culture of experimentation and continuous learning around emerging AI technologies.
- •Collaborate with educational institutions or industry bodies to address the talent pipeline for AI-savvy marketers.
Future Trend Signals
- •AI will become an indispensable core competency for all marketing professionals, not just specialists.
- •The focus will shift from simply adopting AI to mastering responsible, ethical, and impactful AI application.
- •Organisational structures will evolve to integrate AI expertise across marketing functions.
- •Talent acquisition will increasingly prioritise candidates with demonstrable AI understanding and experience.
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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