The Infinitely Small & the Exponentially Large
"Now that you've felt the exponential," Alena continues, "let me show you why this isn't just a thought experiment. Three forces are converging right now, each driving marginal cost toward zero. And when they compound together, the result isn't additive -- it's multiplicative."
If this compounding cognitive leverage is so powerful, why isn't everyone already acting on it? The answer lies in a well-documented flaw in how humans think. Psychologists call it exponential growth bias: we systematically flatten compound curves into something that feels linear.
Marginal Cost Index Research
Cost decline and demand expansion projections (2018 = 100 baseline)
Cost Index Trend
Marginal cost approaching zero (mid-range scenario)
Demand Expansion Index
Volume multiplier as cost approaches zero (conservative)
Source: Marginal Cost Index Research -- Datapoints, Citations & Forecasting Methodology (Feb 2026)
MCI-Research-Report.pdf
The Infinitely Small Cost of Software Development
Real-world evidence
Klarna has already done it: ditching Salesforce and Workday, building an internal tech stack using AI-assisted development, deploying new interfaces in days rather than months.
The Infinitely Small Cost of Data Solvency
Real-world evidence
The true moat isn't the AI model -- those are commoditising fast. The true moat is your proprietary feedback loop: the constant stream of operational and customer data that no competitor can replicate.
The Infinitely Small Cost of Customer Touch Points
Real-world evidence
Your customer's starting point will increasingly be their preferred AI assistant -- not your website. Their agent will negotiate with yours and your competitors', all without a human on either side.
The Enterprise Intelligence Gap
Enterprises today operate at less than 0.1% of their compounded intelligence potential
Most enterprises actively analyse only ~10% of structured data
Structured data represents only ~10% of total enterprise knowledge
All data combined represents <10% of potential intelligence available
The Human Cognitive Limitation
If you've followed the threads this far -- three factors, each examined through three degrees of thinking -- congratulations. You've just processed 27 layers of compounding logic.
And if you're honest, your brain is probably starting to fatigue.
That's the point.
We stopped at three degrees because we are human, and three is roughly where our cognitive comfort zone ends. But AI doesn't stop at three. Give it the right structure and prompt, and it will deliver the fourth, the fourteenth, the four hundredth degree -- exploring compounding implications at a depth and speed no individual mind can sustain.
The steam engine
didn't think
The internet
didn't reason
Cloud
didn't strategise
AI does
all three
The boundary we hit isn't a boundary of the problem. It's a boundary of us. And that is exactly why a "one-person IT" organisation isn't a thought experiment -- it's an architecture designed to operate beyond that boundary.
Alena, CTO
"We just hit the wall of what our minds can hold. But the opportunity doesn't stop where our cognition does. The question isn't whether to act -- it's whether to act before your competitors do."
-- Alena, pausing to let it sink in