There’s a moment in every technology wave when the noise becomes deafening. Everyone has an opinion. The consultants are selling transformations. The vendors are promising revolutions. And somewhere in the middle, real leaders are trying to figure out what to actually do on Monday morning.
We’re in that moment right now with AI.
Why Now?
I’ve spent over 25 years in the tech industry. I’ve watched companies start with the internet, survive (or not) the move to mobile, and slowly adapt to the cloud and SaaS. Each wave had a similar pattern: euphoria, overinvestment, disillusionment, and then quietly genuine transformation.
AI is different in at least one critical way: the pace. The gap between “this is interesting” and “this changes everything” has compressed from years to months. The organizations that I watch today are not losing to AI — they’re losing to other organizations that are figuring out how to extract value from AI faster.
That’s the challenge I want to write about.
What This Blog Is About
Three things, mostly:
1. Tech Leadership in the Age of AI How do you lead an engineering organization when AI is changing what engineering means? When developers use Cursor for 80% of their code? When the half-life of a technical skill is shortening every year? Leadership in tech has always been hard. Now it’s harder, and the old playbooks don’t apply.
2. Organizational Transformation with Tech — for Real What it actually takes to change how companies work when you are the one doing the work. Tech usage, Culture, incentive structures, decision-making processes — these are what could block transformation. I have strong views on what works and what doesn’t.
3. The Honest AI Conversation Not the hype, not the doom, the real business and tech implications of Agentic AI and what comes next. Just: what is AI actually capable of today? What will it change about business models, work, and strategy? And what are leaders getting badly wrong in their assumptions?
Who I’m Writing For
If you’re a CTO, VP Engineering, or transformation lead trying to navigate this moment — this is for you.
If you’re a senior leader in a non-tech company wondering what AI means for your industry — this is also for you.
And if you’re over 50 in tech and wondering whether your experience is an asset or a liability in this new world — I have strong opinions on that too. (Spoiler: it’s your biggest asset, but only if you use it right.)
An additional Note
Here’s what I’ve come to believe: if you’ve spent decades developing judgment, pattern recognition, and hard-won perspective, keeping it to yourself isn’t modesty — it’s waste.
The best thing I can do with what I’ve learned is put it in writing, where it can be challenged, refined, and useful to someone else.
That’s what this is.
If something here resonates — or if you think I’m wrong about something — I’d genuinely like to hear from you. Find me on LinkedIn.