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[Experience Action Podcast] AI in the Employee Experience

Ever wondered how artificial intelligence could reshape the way we work? Join us for an exciting conversation as Jeannie Walters answers a question from former Crack the Customer Code podcast partner and current friend Adam Toporek about the transformative power of AI on the employee experience. Gain insights into how AI can boost efficiency, sharpen decision-making, and foster personalized skill development. You’ll hear stories about the good, the bad, and the ugly, as we navigate the potential for role displacement and the crucial need for leaders to focus on reskilling and upskilling their teams.

We’ll also dive into the ethical maze of AI integration, especially its impact on remote work environments. From concerns about surveillance and privacy to the irreplaceable value of human empathy in customer and employee interactions, listen in as we discuss strategies to support employees who may feel anxious about AI and automation, and how to create moments that make them feel truly valued. Packed with practical tips and forward-thinking strategies, this episode is a must-listen for anyone interested in the future of work.

Resources Mentioned:
Experience Investigators Learning Center

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Want to ask a question about this episode – or another CX issue? Leave Jeannie a voicemail at askjeannie.vip – and remember to follow her on LinkedIn!

Curious about how Jeannie Walters, CCXP, and the Experience Investigators team can help you Create Fewer Ruined Days for Your Customers™? Let’s talk!

About Jeannie Walters, CCXP, CSP

Jeannie Walters CCXP CSP small square photoJeannie is an award-winning customer experience expert, international keynote speaker, and sought-after business coach who is trailblazing the movement from “Reactive Customer Service” to “Proactive Customer and Employee Experience.” More than 500,000 people have learned from her CX courses on LinkedIn Learning, and her insights have been featured in Forbes, The Chicago Tribune, The Wall Street Journal and NPR

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