New Frontier (AI & Ecommerce) artwork

How to Build Effective Teams in an AI Workforce, with Shannon Curley

New Frontier (AI & Ecommerce) · with Martin Schwartzman · April 11, 2025 · 41 min

Summary

This episode explores how AI is fundamentally reshaping business models and ecommerce. It highlights the shift of power from retailers to AI-controlled decision layers, emphasizing the need for brands to focus on strong products, differentiated data, and superior end-to-end experiences to thrive in an agentic commerce future. Ecommerce operators will learn how AI-powered shopping journeys and emerging technologies are disrupting traditional retail and advertising, demanding a strategic pivot toward data-driven differentiation and optimized customer experiences.

Key takeaways

Themes

agentic commerceai and business model disruptionai in marketing and advertisingfuture of retail

Topics covered

agentic commerce protocolsai answer engine optimizationai in procurementai wearablesai-powered shopping journeysalibaba accioamazon rufusdigital pr in ai searchsponsored promptssynthetic content

Episode description

In this episode of The New Frontier, Max and Jo reunite after a busy conference season, to welcome Shannon Curley, a seasoned marketing leader with deep expertise in brand storytelling, content strategy, and audience engagement—most recently the Director of Marketing at Carbon6, which was acquired for $210 million.The conversation dives deep into the future of building effective teams in an AI-powered workforce. Shannon challenges the idea that teams must justify human roles by first proving AI can't do the job, instead flipping the script to focus on how humans can add more value. She emphasizes AI as a collaborative tool—an "intern" of sorts—not a replacement. Drawing from her leadership experience, she shares how to encourage AI adoption, train creative teams, and maintain morale, especially in the face of automation anxiety. They explore the balance between efficiency and creativity, how AI agents can support (but not supplant) team culture, and the importance of retaining human oversight and strategic thinking.Shannon also addresses the broader implications of AI on workforce dynamics, particularly its potential impact on junior roles and hiring practices. She advocates for skill-based recruitment over traditional role-based models and underscores the need for hiring managers to rethink what qualifies as relevant experience in an AI-enhanced workplace. From upskilling strategies and agent integration to preserving creativity in content work, Shannon offers a clear-eyed yet optimistic vision for how organizations can thoughtfully and responsibly build the teams of tomorrow.This podcast is brought to you by ⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠&lt

Frequently asked about this episode

What does this episode say about agentic commerce?
Agentic commerce shifts purchasing power from brands to consumer AI, requiring brands to differentiate through product quality, unique data, and seamless experiences rather than relying on search algorithm gaming or paid traffic.
What does this episode say about ai and business model disruption?
Amazon's Sponsored Prompts signal a new era of AI-driven advertising where ads are native, customer-friendly, and appear as follow-up queries within AI responses; optimizing existing ad targeting and listing content is crucial for influence.
What does this episode say about ai in marketing and advertising?
The rise of AI intermediaries like Rufus necessitates a focus on digital PR and reputable media to gain visibility in AI-powered search engines, as AI increasingly prioritizes credible sources over 'AI slop'.
What does this episode say about future of retail?
Prepare for a significant increase in synthetic content (30-40% of social media by year-end), triggering a renewed demand for authentic human-made content and premium community engagement.
What does this episode say about agentic commerce?
AI sourcing agents like Alibaba's Accio streamline supplier discovery, market research, and product design, offering both automation ('do it for me') and data-driven insights ('teach me more') for efficient procurement.

Listen