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.
What happens when an AI model attempts to cheat… and the response reshapes the future of the entire AI industry?
In this episode of Leading Change in the Wild, I break down the recent OpenAI security incident and explains why the biggest story isn’t the model itself. It’s the growing shift toward open-weight and open-source AI.
As companies rethink control, security, and data ownership, a new conversation is emerging about who should own the future of artificial intelligence.
Here’s what I unpack:
- What happened during OpenAI’s cybersecurity test
- Why Hugging Face turned to an open-weight model for defense
- The difference between closed, open-weight, and open-source AI models
- Why companies like NVIDIA, Microsoft, IBM, and SpaceX are backing open AI initiatives
- How open-weight models give organizations more flexibility and control
- Why data ownership is becoming one of AI’s biggest competitive advantages
- What this shift means for enterprise AI adoption and digital transformation
The bigger takeaway is that this isn’t just a debate about one security incident.
It’s about where AI is heading next.
As organizations adopt AI at scale, they’ll need to make strategic decisions about control, customization, security, and who ultimately owns their data. The rise of open-weight models signals that many leaders are looking for a middle ground between building everything from scratch and relying entirely on closed AI platforms.
This is not just an AI conversation. It is a leadership conversation.
Because the choices organizations make today about their AI infrastructure will shape how they innovate, compete, and protect their knowledge for years to come.
👇 Let’s discuss:
- Do you think most organizations will adopt closed, open-weight, or open-source AI models?
- Should companies prioritize flexibility over convenience?
- How important will AI ownership and data control become over the next few years?
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