Why the "Non-Technical" Perspective Is Tech’s Best Defense
It’s been a while since I’ve posted here. To the many of you who joined this Substack following my post about landing the Meta RPM role—welcome. While I’ve been quiet on this platform, I haven’t been idle. Transitioning into the Meta ecosystem has given me a front-row seat to a shift that is currently vibrating through every floor of every tech office in the world.
There is a palpable tension in the air. If you talk to engineers, many are feeling a sense of vertigo. They’re seeing AI models reach a point where they don’t just suggest lines of code, but actually architect entire prototypes from a few sentences. There’s a growing sentiment in engineering circles that if a Product Manager can now “build” a functional MVP, the traditional definition of a developer is under siege.
But on the flip side, PMs are just as anxious. If AI can handle the planning, the data-driven prioritization, and the drafting of complex requirements with more precision than a human, where does that leave the “visionary”?
The point of this article isn’t to add to the noise of the “AI will replace us” fear-mongering. It’s to provide a reality check on where we are heading and why, ironically, a non-technical perspective—one rooted in taste, culture, and ethics—has never been more valuable.
The Rise of the “Vibe” Builder
We are entering an era of “vibe coding” and autonomous execution. The tools hitting the market right now aren’t just incremental improvements; they are force multipliers that 10x your output.
If you aren’t already, you should be looking into these tools to understand the new baseline of productivity:
Cursor: The current gold standard for AI-integrated IDEs. It understands your entire codebase, allowing you to refactor or build features through natural language.
Lovable: A specialized tool for rapid web application prototyping that is effectively closing the gap between a design mockup and a functional React app.
Claude Code: Anthropic’s terminal-native tool that brings deep reasoning directly into the development workflow.
Manus: A newer player focused on autonomous “agents” that can execute entire multi-step digital tasks with minimal oversight.
These tools are why engineers are worried about PMs building, and why PMs are worried about becoming obsolete. When the cost of “doing” drops to near zero, the human’s role moves further upstream.
The Philosopher in the Machine
One of the most telling signs of this shift happened recently at Anthropic. They profiled their Resident Philosopher, Amanda Askell. She isn’t a computer scientist; she’s an ethicist who holds a PhD in philosophy. Her job? Designing the “moral compass” and personality of Claude AI.
As models become more human-like, companies are realizing that a background in ethics and the humanities isn’t just “nice to have”—it’s a technical requirement. When the machine can code itself, the hardest problem left to solve is how to make the machine good. We’re seeing this trend explode, with specialized roles for AI Ethicists and Policy Analysts becoming standard at major AI labs and tech-forward firms.
Taste is the New Technical Moat
In a world where everyone can build a functional prototype in an afternoon, the market will be flooded with products that “work” but have no soul. This is where taste becomes the ultimate differentiator.
Tech companies are no longer just fighting over latency and features; they are fighting over culture and story. Take a look at companies like Linear or Airbnb. They don’t just win on utility; they win because they have an incredibly opinionated “taste” that technical specs can’t replicate. Brian Chesky has famously moved Airbnb toward a “design-led” culture where the product is a story of belonging, not just a booking engine.
If you can’t build a narrative and a “vibe” around your product, you won’t survive. This is why we are seeing non-technical founders raising millions. Consider Matthew Gallagher and Medvi, a telehealth startup on track for $1.8 billion in revenue with almost no traditional employees. He didn’t win because he out-coded Big Tech; he won because he understood market demand and human psychology better than his technical competitors.
The Reality Check: Where AI Ends and You Begin
I don’t know exactly where this is headed—no one does. But I do know this: AI is exceptional at execution, but it is still fundamentally a follower.
To navigate this, you have to stay informed. I highly recommend following creators and newsletters that cut through the hype:
The Rundown AI: The most consistent daily briefing on what actually works in the AI space.
Ben’s Bites: Great for plain-English explanations of how to apply these tools to your business.
Adapt, don’t fear
We are living through a period of profound redefinition. The “fear” that engineers and PMs are feeling is a rational response to a technology that is evolving faster than our job descriptions.
But remember: when code is cheap, the most expensive mistake you can make is building something that lacks taste or purpose. The ecosystem is changing, but the value of a clear, critical, and human perspective remains the only thing that isn’t up for negotiation.