Leading Change
Leading Change
Podcast Description
Welcome to Leading Change, where we dive into the real conversations shaping the future of work. Hosted by Ema Roloff, this series brings together business leaders, change-makers, and innovators to explore the intersection of technology, change management, and leadership in today’s evolving workplace.
Each episode is packed with actionable insights, candid stories, and fresh perspectives on navigating transformation—whether it’s leveraging emerging tech, leading through disruption, or building resilient teams.
If you’re passionate about creating meaningful change and thriving in the digital era, this is the podcast for you. Let’s redefine what it means to lead in a world where change is the only constant.
Podcast Insights
Content Themes
The podcast explores themes such as innovation in branding, the psychology of workplace dynamics, and the critical role of change management for business success. Episodes feature discussions like brand-building through innovation with Laura Dinan, the impact of cyber psychology with Tori Paulman, and strategies for overcoming corporate burnout with Meg McKean, showcasing practical approaches to navigating transformation in various sectors.
Welcome to Leading Change, where we dive into the real conversations shaping the future of work. Hosted by Ema Roloff, this series brings together business leaders, change-makers, and innovators to explore the intersection of technology, change management, and leadership in today’s evolving workplace.
Each episode is packed with actionable insights, candid stories, and fresh perspectives on navigating transformation—whether it’s leveraging emerging tech, leading through disruption, or building resilient teams.
If you’re passionate about creating meaningful change and thriving in the digital era, this is the podcast for you. Let’s redefine what it means to lead in a world where change is the only constant.
OpenAI just released its policy vision for the “intelligence age” and at first glance, it sounds promising.
But when you look closer, the story starts to fall apart.
In this episode of Leading Change in the Wild, I break down OpenAI’s latest policy document and the growing gap between what AI companies say and what they actually do.
Because this is not just about policy. It is about trust, accountability, and whether we should believe the narrative being presented to us.
From energy subsidies to workforce impact, this document raises more questions than it answers.
Here’s what I unpack:
- Why OpenAI’s “pay their own way” stance contradicts real-world actions
- The role of public funding and who is actually subsidizing AI infrastructure
- The disconnect between “people-first” messaging and enterprise partnerships
- Why consulting-driven AI adoption often excludes the very people doing the work
- The limitations of how AI companies define “human-centered” roles
- The lack of real mechanisms for public and worker input
- Why this document feels more like a PR move than a true shift in strategy
The takeaway is simple. Saying “people first” is not the same as acting like it.
If AI companies want trust, they need to earn it through action, not just policy statements.
This is not just a technology conversation. It is a leadership one.
Because the future of AI will not be shaped by what companies promise. It will be shaped by what they actually do.
👇 Let’s discuss:
- Do you trust AI companies to put people first?
- Where do you see the biggest gap between messaging and reality?
- What responsibility should companies have before regulation steps in?
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