Leading Change

Google's latest AI announcement isn't just about a new feature.   It raises a much bigger question.   How much of our lives are we willing to let technology observe before consent becomes an afterthought?   In this episode of Leading Change in the Wild, I explore Google's new ambient audio memory feature, the rise of AI-powered wearables, and what these technologies reveal about the future of priv...

Most organizations are trying to adopt AI using structures, processes, and leadership models that were built for the industrial age. And that may be the biggest obstacle standing in the way of transformation. In this episode of Leading Change in the Wild, I sit down with Jana, co-author of The Octopus Organization, to explore why traditional organizations struggle with change and what leaders need...

Anthropic has issued another warning about artificial intelligence. But this time, the concern is not job displacement or productivity. It is the possibility that AI could soon begin improving itself. In this episode of Leading Change in the Wild, I break down Anthropic’s latest report on recursive self-improvement and what it means if AI reaches a point where it can build, test, and improve futur...

For years, some of the biggest names in AI warned us that artificial intelligence would eliminate jobs, disrupt entire industries, and fundamentally reshape the workforce. Now, many of those same leaders are saying something very different. In this episode of Leading Change in the Wild, I break down the growing narrative shift coming from AI executives and why the people who once warned of mass jo...

College commencement speeches are supposed to inspire graduates about the future. Instead, many students are booing the moment AI gets mentioned. In this episode of Leading Change in the Wild, I break down the growing backlash against AI messaging at college graduations and why so many executives seem completely disconnected from how young people actually feel about the future of work. Because thi...

If AI is supposed to replace human productivity, why are OpenAI and Anthropic spending billions to build human-led services companies? In this episode of Leading Change in the Wild, I break down the back-to-back announcements from OpenAI and Anthropic to launch venture-backed consulting and implementation firms designed to help companies adopt AI. And hidden inside these announcements is a quiet a...

Companies are racing to adopt AI. But what happens when they start incentivizing the wrong behavior? In this episode of Leading Change in the Wild, I break down the rise of “tokenmaxxing” and how AI leaderboards inside major companies are driving massive usage… without delivering real value.   From engineers burning tokens to hit leaderboards to companies blowing through millions in AI spend, we a...

There’s a growing gap in how AI is being experienced inside organizations. And most leaders are missing it. In this episode of Leading Change in the Wild, I share original research from her audience that reveals a major disconnect between leadership and employees when it comes to AI adoption. Because while leaders are optimistic, employees are overwhelmed. And that gap is creating more problems th...

44% of Gen Z workers say they’ve tried to “sabotage” AI at work. But before we jump to conclusions, we need to ask a better question. Why? In this episode of Leading Change in the Wild, I break down the latest data on Gen Z’s shifting sentiment toward AI and why this reaction has less to do with resistance to technology and more to do with how it’s being introduced. Because this is not a story abo...

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, account...

When the Claude Code leak first surfaced, many thought it was an April Fool’s joke. It wasn’t. In this episode of Leading Change in the Wild, I break down what actually happened when Anthropic accidentally leaked over 500,000 lines of Claude’s source code and why the aftermath matters more than the leak itself. Because this is not just a story about human error. It is a glimpse into the future of...

When do we stop blaming the individual and start blaming the system? And maybe more importantly… when do we stop blaming the system and start taking accountability ourselves? Right now, we’re watching this tension play out in real time. From a landmark lawsuit against Meta Platforms and Google to new regulations emerging in Australia, the conversation is shifting toward platform responsibility. Bu...

The conversation around AI is reaching a tipping point, but are we witnessing a real shift in the market or just the consequences of overhyped expectations? In this episode of Leading Change in the Wild, I dive into recent headlines around private equity firms freezing withdrawals in private credit funds and what that signals for SaaS, AI, and the broader tech economy. From “ghost GDP” fears to AI...

The hype around AI is everywhere, but what happens when speculation meets the stock market? Recent headlines show a “ghost GDP” scenario causing panic in SaaS stocks, fueled by concerns over automation, legacy modernization, and AI adoption. In this episode of Leading Change in the Wild, I break down the SAS apocalypse, explore how hype drives knee-jerk reactions, and explain why clarity, intentio...

Across industries, studies show women adopt generative AI tools at a rate about 25% lower than men. But does slower adoption mean falling behind or is there a bigger story at play? In this episode of Leading Change in the Wild, I dive into the Harvard research and explore why women are opting out of AI at higher rates, what role risk aversion plays, and how the future of work may actually favor un...

What happens when AI agents stop waiting for prompts and start taking action on their own? We’re beginning to see that line blur, and the headlines are starting to feel a little sci-fi. In this episode of Leading Change in the Wild, I break down what’s happening with autonomous AI agents like Claudebot and Moltbook, why they’re generating so much hype, and the very real leadership and ethical ques...

Vibe coding makes it feel easy to launch an app. Write a good prompt, ship fast, and start monetizing. But what happens when no one stops to think about security, data exposure, or who is actually protecting users? In this episode of Leading Change in the Wild, I take a closer look at Firehound and the work they are doing to expose vibe-coded apps in the App Store that are leaking user data, and w...

Is Siri finally about to answer our questions? Apple’s new partnership with Google has a lot of people talking. Some see it as Apple waving a white flag in the AI race. I see it as something much more strategic. In this episode of Leading Change in the Wild, I break down Apple’s decision to partner with Google’s Gemini AI to power Siri, what this means for the future of AI competition, and why the...

Test scores are dropping. Literacy rates are slipping. And suddenly, AI is being positioned as the solution that will save the education system. But is technology really the unlock, or are we missing the bigger picture? In this episode of Leading Change in the Wild, I take a closer look at the headlines around AI-driven schools like Alpha Schools and unpack what is actually driving student outcome...

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 look...

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...

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 un...

Are nuclear plants, spaceships, and oil rigs riskier than AI? Some insurers believe AI poses a greater risk. In this episode of Leading Change in the Wild, I take a close look at how major carriers like AIG, Great American, and WR Berkeley are approaching AI risk—and what that means for leaders and organizations betting on this technology. 📉 Here’s what I unpack: Why carriers are asking to limit...

AI is showing up in every strategy deck, every board meeting, and every company roadmap. But if you look closely, most AI initiatives are quietly failing long before they ever deliver value. In this episode of Leading Change in the Wild, I sit down with Brandy Ferrer to break down the real reasons AI projects fall apart and what leaders can do to keep their investments on track. 📉 Here’s what we...

Is synthetic data the solution to "jagged" enterprise AI... or the fast track to Model Collapse? We just got used to "Agentic AI." Now, Salesforce is defining the next frontier of automation with the new term Enterprise Generalized Intelligence (EGI) and betting big on synthetic data to train its new Agent Force solutions. But is this the right path for enterprise trust? In this episode of Leading...