Leading Change

57% of all internet traffic is now generated by bots.

That statistic alone changes the way we think about the internet.

In this episode of Leading Change in the Wild, I explore Cloudflare's latest announcement to block AI crawlers and why it may mark the beginning of a fundamental shift in how the internet is funded, searched, and experienced.

Because this is not just about AI bots.

It is about the future of the internet itself.

Here's what I unpack:

The takeaway is clear. The internet was built on human attention.

As AI increasingly consumes information instead of people, the business model that has powered the web for decades is being rewritten.

This is not just a technology conversation. It is an economic one.

Because the future of the internet will depend on who creates value, who consumes it, and who ultimately pays for it.

👇 Let's discuss:

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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 privacy, surveillance, and human consent.

Because this is not just about Google.

From Meta's smart glasses to Microsoft's workplace monitoring tools, we're seeing a growing trend toward collecting more of our conversations, behaviors, and daily interactions than ever before.

Here's what I unpack:

The takeaway is clear. AI is not just changing the way we work.

It is changing the relationship we have with privacy, trust, and consent.

This is not just a technology conversation. It is a leadership one.

Because once constant surveillance becomes normal, it becomes much harder to ask whether we ever truly agreed to it.

👇 Let's discuss:

 - Where should we draw the line between convenience and privacy?

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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 to do differently in the age of AI.

From bureaucratic decision-making to AI adoption metrics that drive the wrong behavior, this conversation dives into the patterns holding organizations back and the leadership shifts required to move forward.

Here’s what we unpack:

The takeaway is clear. AI does not just challenge technology strategies. It challenges the way organizations are designed.

Because the companies that thrive will not be the ones with the most AI tools. They will be the ones that learn, adapt, and empower people to solve real problems.

📚 The Octopus Organization by Jana and Phil is available now!

👇 Let’s discuss:

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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 future versions of itself with minimal human involvement.

But beyond the technology itself, this report raises some deeper questions.

Who should be leading these conversations? And what happens when the companies warning us about the risks are also the companies building the technology?

Here’s what I unpack:

The takeaway is not just about technology.

It is about incentives, accountability, and who gets to shape the future of AI.

Because if the people raising the alarm are also the people benefiting from the outcome, we need to ask harder questions about how these decisions are being made.

👇 Let’s discuss:

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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 job displacement are suddenly talking about productivity, augmentation, and the importance of human connection.

So what changed?

Here’s what I unpack:

The takeaway is clear. When the narrative changes this dramatically, it is worth asking why.

Because whether AI becomes a replacement, an enhancement, or something in between, leaders need to think critically about the messages they are hearing and who benefits from them.

This is not just a technology conversation. It is a leadership one.

Because the future of work will not be shaped by technology alone. It will be shaped by the choices we make about how we use it.

👇 Let’s discuss:

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