In this episode of The Negotiation, host Todd Embley welcomes Dr. Nici Sweaney, founder of AI Her Way and one of the most compelling voices on ethical AI adoption, gender equity in technology, and responsible AI systems.

Nici has an extraordinary background. She started in butterfly ecology, spent 17 years as a quantitative scientist in academia, and has worked with the United Nations, World Bank, WWF, Hewlett-Packard, and Salesforce. Named one of Microsoft's Top 10 Trailblazing Entrepreneurs in AI, she's now helping organizations across over 20 industries adopt AI in ways that drive efficiency while maintaining ethical standards.

This conversation explores how AI is fundamentally reshaping consumer behavior and brand discovery. Nici breaks down what AI means for marketing strategy, how brands should be thinking about the funnel differently, and where the biggest operational transformations are happening inside consumer businesses.

The discussion also tackles critical equity and representation questions. Nici explains why it matters who builds AI systems, how different global models shape what consumers are exposed to, and the practical implications of bias in training data for brands using AI in customer-facing applications.

Finally, Nici shares systems-level thinking on AI adoption. She walks through how leadership teams should be approaching this strategically, why governance and ethics need to be built in from the start, and where overwhelmed organizations should begin.

This is essential listening for anyone leading AI adoption, building consumer brands, or trying to understand how AI is changing the way people discover, evaluate, and buy products.

Discussion Points

· Nici's journey from butterfly ecology to quantitative science to founding AI Her Way

· What AI Her Way does and who it serves across 20+ industries

· How AI is reshaping consumer behavior, brand discovery, and purchasing decisions

· Marketing transformation: rethinking the funnel, channels, and content creation in an AI-driven world

· Operational impact: where consumer brands are seeing the biggest AI-driven transformations

· Why equity and representation in AI matter for consumer-facing applications

· How different global models (Western vs Chinese vs others) shape what consumers see

· Practical implications of bias in AI training data for brands

· Systems-level thinking: how leadership teams should approach AI adoption strategically

· Building governance and ethical frameworks from the start, not as an afterthought

· Where overwhelmed organizations should start with AI adoption

· Closing the AI gender gap and why women need to help shape AI's future

· Big shifts coming in AI over the next 2-5 years for consumer behavior and brand marketing

· Key takeaway for business leaders and marketers on AI