#PFIkigai #AIatPF #HumanPoweredAI #IkigaiSeries

When I first read the now classic Harvard Business Review piece, “Roaring Out of Recession,” I bookmarked one line:

“Companies that master the delicate balance between cutting costs to survive today and investing to grow tomorrow do well after a recession.”

Now re-read that and replace “recession” with “AI disruption.”

That’s exactly the balancing act I find myself navigating every single day at Property Finder. I was brought in not just to lead engineering, but to architect transformation—one that doesn’t just look good on investor slides, but holds up when scaled to millions of users, thousands of agents, and petabytes of data. This is not an abstract ambition. It’s a roll-up-your-sleeves job that requires more courage than knowledge.

Courage is the Missing Ingredient in AI Talk

Everyone talks about “AI readiness,” “AI strategy,” or the “AI talent gap.” But too few are talking about what it actually takes to move an organization from where it is to where it needs to be—especially when that path is foggy, nonlinear, and disruptive to existing power structures, tools, and mindsets.

That’s where courage in leadership comes in.

I’ve led transformations at Amazon, LinkedIn, Microsoft, Meta, and later as a startup CTO. I’ve built recommendation engines that scaled to 180+ countries and rebuilt data pipelines under the scrutiny of regulatory agencies serving billions of users. But none of those experiences asked as much of me as this phase of work does—because here, I’m not just changing the technology. I’m changing the entire approach to what we build, how we build, and who builds it.

The PF Bet: Build While Transforming

When I joined PF, I didn’t inherit a blank canvas. I inherited a startup DNA wrapped in a unicorn valuation. That’s a volatile cocktail. Everyone wants speed, innovation, defensibility—but the systems, structures, and sometimes even the self-belief aren’t fully ready for what that entails.

Instead of freezing, we acted.

  • We launched Ikigai—a multi-layered transformation that didn’t just build AI models, but overhauled our infrastructure, retooled how teams write and deploy code, and infused GenAI into CX, verification, and listing quality.

  • We are building AI-infused products that work not as gimmicks, but as utility-grade enablers for agents and consumers.

  • We created a dedicated R&D track within the company focused on deeper models and long-term data platform transformation—foundational work for the next decade of AI at PF.

  • We didn’t just “hire AI engineers”—we partnered with UC Berkeley, University of Toronto, and AWS Bedrock, bringing the best minds, models, and compute to our stack.

  • We raised the talent bar—hiring for potential, not polish. Launching internships that led to game-changing breakthroughs in how we look at our 20 years of data.

That wasn’t just smart. It was brave. And it’s working.

The Transformation Beneath the Transformation

People often think AI transformation is about tools. But that’s the easiest part. The harder part is changing how your company thinks about its future.

At PF, we’re using AI as a forcing function to:

  • Remove team silos.

  • Rethink roles and org design (yes, even sacred cows).

  • Train the next generation of leaders.

  • Share our journey through the Ikigai series—not because we have all the answers, but because others may be facing the same challenges and benefit from our lessons.

This isn’t courage for show. It’s courage for outcomes.

Advice to My Fellow Leaders

If you’re an executive reading this in a unicorn, scale-up, or government agency eyeing AI:

  • Don’t wait for certainty. The best ideas will arrive while you’re in motion.

  • Invest in people and infrastructure together. One without the other is a false start.

  • Embrace tension. Friction between old and new is the energy source of reinvention.

  • Have courage. You won’t know how good your instincts are until you’re forced to trust them.

And if you're looking for a playbook, the Ikigai series is where I’m documenting our approach. Chapter by chapter, experience by experience. We’re building in the open—not because it’s easy, but because it's necessary.

Final Thought AI won’t reward the timid. It will reward the deliberately bold. Let’s be among the builders. Not just the believers.