The Marketing & AI Podcast: The MAP
The Marketing & AI Podcast: The MAP
Podcast Description
‘The Marketing and AI Podcast: 'The MAP’ will help marketers navigate the new World driven by Artificial Intelligence. We believe AI will liberate marketers from time-consuming drudgery, freeing us to focus on the inspirational strategic and creative work that matters.
In 'The MAP,' we’ll talk with senior marketers already working with AI, to explore how it is transforming their work, their roles and their lives.
Because together, as a marketing community, we’ve got this.
Podcast Insights
Content Themes
The podcast emphasizes the transformative impact of AI on marketing roles, strategies, and education. Notable episodes include discussions on enabling AI readiness in British business led by Helen Ritchie, exploring AI-driven media ecosystems with Pete Robins, and training the next generation in AI for the workplace with Alan Mulrooney. Focus areas include digital transformation, AI insights from consumer behavior, and enhancing marketing strategies through technology.
‘The Marketing and AI Podcast: ‘The MAP’ will help marketers navigate the new World driven by Artificial Intelligence. We believe AI will liberate marketers from time-consuming drudgery, freeing us to focus on the inspirational strategic and creative work that matters.
In ‘The MAP,’ we’ll talk with senior marketers already working with AI, to explore how it is transforming their work, their roles and their lives.
Because together, as a marketing community, we’ve got this.
IKEA didn’t use AI to cut headcount. It used AI to unlock €1.3 billion in new revenue. So why are so many businesses still getting this wrong?
In this episode, Hal and Nick are joined by Guy Meisl, Operations Director at Radley, to ask some uncomfortable questions about AI’s impact in the real engine room of business: operations, logistics, and supply chain. Why did Uber burn through its entire 2026 AI budget in just four months — and what does that tell us about the hidden cost of AI at scale? Why, despite decades of digital transformation, is the spreadsheet still the bedrock of demand planning and logistics? And what can Starbucks’ decision to scrap its AI stock-counting system after nine months teach every business leader about the gap between the promise and the reality?
Plus: Nick hears back his own case study from his work at Unilever on ice cream as a best practice example of using AI for demand planning!
Guy Meisl is Operations Director at Radley and can be found on LinkedIn here: https://www.linkedin.com/in/guymeisl/
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