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Leading Change

Leading Change

Written by: Ema Roloff
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About this listen

 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.Copyright 2024 All rights reserved. Economics
Episodes
  • When AI Marketing Gets Ahead of Reality

    When AI Marketing Gets Ahead of Reality
    Jan 6 2026
    Salesforce says it doesn’t regret laying off nearly 4,000 employees. It also says those layoffs weren’t really about AI. And it definitely says it trusts its AI models. So why do the headlines feel so contradictory? In this episode of Leading Change in the Wild, I break down the confusing and revealing signals Salesforce is sending about workforce reductions, Agentforce, and what trust really looks like when AI moves from pilot to production. 📉 Here’s what I unpack:
    • Why Salesforce’s AI driven layoff narrative never quite added up
    • How mixed messaging from leadership is fueling confusion and skepticism
    • What internal comments reveal about trust, accuracy, and AI readiness
    • Why clean data, governance, and business logic are being re emphasized
    • What Salesforce’s pivot back toward rule based automation signals for the broader market
    AI is not magic. It is a tool. And when even the largest software companies are recalibrating expectations, leaders need to pay attention. This moment is a reminder that AI first is not a strategy. Real value still depends on people, process, and foundations that cannot be skipped. 👇 Let’s discuss: What do you make of Salesforce’s shifting narrative? Are you seeing similar disconnects between AI promises and reality in your organization? 🔔 Subscribe for weekly insights on digital transformation, change management, and emerging technologies.
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    11 mins
  • The AI Vibe Shift in the Enterprise

    The AI Vibe Shift in the Enterprise
    Dec 23 2025
    AI adoption at the enterprise level isn’t living up to the hype—and the “magic wand” promise of tools like Microsoft Copilot may be wearing off. In this episode of Leading Change in the Wild, I delve into what’s happening behind the scenes of enterprise AI adoption, why some tools are underperforming, and what this means for leaders navigating AI investments. 📉 Here’s what I unpack:
    • Why Microsoft Copilot isn’t seeing the adoption expected across enterprises
    • How top-down directives fail to drive real AI adoption
    • Why using AI as a “checkbox” leads to wasted licenses and disappointed teams
    • The lessons leaders can take from hype versus reality when introducing AI tools
    AI is a powerful tool, but it isn’t a strategy. Success still requires real work with your team, clear processes, and understanding the problems you’re trying to solve. 👇 Let’s discuss: Are you seeing a similar AI adoption “vibe shift” in your organization? How are you ensuring your team and processes are ready before bringing in new AI tools? 🔔 Subscribe for weekly insights on digital transformation, change management, and emerging technologies.
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    15 mins
  • Is the Metaverse Finally Dead?

    Is the Metaverse Finally Dead?
    Dec 9 2025

    The year was 2021 and we were all told that virtual worlds were the future. Now, in 2025, Meta is reportedly preparing to cut its metaverse budget by up to 30%.

    In this episode of Leading Change in the Wild, I take a closer look at what this shift really means, how investors are responding, and why Meta might be turning its full attention toward AI and wearable technology instead.

    Here’s what I unpack: ✅ Why Meta is pulling back on a 60 billion dollar metaverse investment and why investors cheered ✅ Where that money is likely heading next, from AI infrastructure to wearable tech like Meta glasses ✅ Why wearables may become the next major data source for training AI models ✅ The privacy and ethical concerns tied to always-on, data-collecting devices ✅ Why the metaverse is a cautionary tale for leaders jumping into AI without a clear strategy ✅ How to avoid chasing hype and instead use technology to solve real business problems

    For years, people made it clear they didn’t want to live in a virtual world built by Big Tech. Now we’re seeing what happens when companies chase hype instead of listening to their customers. The same warning signs are showing up in today’s AI race.

    👇 Let’s discuss: - Is the metaverse really dead, or are we still in the early days? - Would you use AI-powered glasses in your daily life? - Is your organization leading with technology or strategy when it comes to AI?

    🔔 Subscribe for weekly insights on digital transformation, AI, and the human side of technology.
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    10 mins
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