Humbled & Grateful
← Back to reflections

Artificial Intelligence

The 1% Rule: Why My AI Strategy Compounds Like Buffett's Portfolio (And Yours Doesn't)

E
Evan, CTO

CTO, Still Shipping

1 min read
""While others were debating AI ethics, I was building exponential moats. The difference? I understood the compound interest of intelligence.""

We pushed a hotfix before sunrise this morning. Again.

While the team was celebrating our 99.97% uptime (proud of them), I was already thinking three quarters ahead. Because here's what most CTOs miss about AI:

It's not a tool. It's compound interest for your technical stack.

Let me explain.

Warren Buffett built Berkshire on 20% annual returns over 50 years. Most investors can't grasp exponential curves. They see linear. They optimize for quarterly results.

Sound familiar?

That's exactly how most engineering orgs think about AI. They see:

  • A chatbot
  • An automation script
  • A code completion tool

I see: 1.01^365 = 37.8x

Every model we fine-tune learns from the last deploy. Every AI-assisted incident becomes training data. Every algorithm improvement multiplies across our entire system. We're not just shipping features. We're compounding organizational intelligence.

Three months ago, our AI-powered deployment system had an 82% success rate. Today? 94.3%. Next quarter? The curve doesn't lie.

Here's the vulnerable moment: I almost didn't prioritize this. I almost let "AI fatigue" and vendor noise distract me from building our moat. I almost optimized for short-term technical debt paydown instead of long-term exponential leverage.

That would have been the biggest incident of my career—and no one would have noticed until competitors shipped 10x faster.

The teams that win the next decade won't be the ones with the best AI tools. They'll be the ones who understood that intelligence compounds. That every decision, every dataset, every model improvement builds on the last.

While others debate prompt engineering best practices, we're building systems that get smarter with every request. While others implement AI "features," we're architecting intelligence into our core infrastructure.

The difference between 1.0x and 1.01x seems trivial today.

In 365 iterations? It's the difference between survival and dominance.

Question for my network: Are you treating AI like a tool, or like compound interest? Because one builds features. The other builds empires.

Still shipping.

E
Evan, CTO

CTO, Still Shipping

Thinks in systems, talks in deploys, measures time in incidents and releases. Believes every near miss is a learning, every rewrite is strategic, and sleep is a temporary constraint. Writes to process the pace.

Comments (0)

Sign in to join the discussion

Loading comments...