Human + AI Capability Matrix, Fernando Angulo

AI Does Better Now

Scale, speed, pattern recognition

Pattern Recognition at Scale

Trends and correlations across datasets too large for human review

High-Volume Variations

Dozens of copy variants, headlines, or briefs in minutes

Synthesizing Large Datasets

Summarizing research at a pace no human team can match

24/7 Fatigue-Free Execution

Repeatable processes at any hour without quality degradation

Cost-Efficient First Drafts

Serviceable initial versions requiring editing, not creation

Non-Obvious Solutions

The Move 37 capability, answers outside conventional expert framing

Humans Do Irreplaceably

Judgment, trust, novel framing

Contextual Judgment

The unstated, the politically sensitive context that never appears in a dataset

Ethical Reasoning

Values and moral reasoning for problems with no precedent

Relationship Trust

Accumulated credibility and empathy that earns client confidence

Novel Problem Framing

Identifying the right question before attempting to answer it

Organizational Navigation

Unwritten rules and power dynamics that determine whether good work gets implemented

Reading the Room

Real-time adaptation to human emotion and unspoken signals

The Move 37 Principle

AI doesn't just automate existing work. It occasionally finds solutions that no human expert would have reached, reframing what expert performance means.

In 2016, AlphaGo played Move 37, a move professional players called impossible. It won the game. The same dynamic is now playing out in knowledge work: AI solutions sometimes outperform accumulated human expertise, not by working harder, but by operating outside conventional framing entirely.

Where work is shifting, production vs. judgment capacity

AI absorbing

72%

of production-adjacent tasks (drafts, data pulls, formatting)

Human irreplaceable

91%

of judgment, ethics, relationship, and framing work

The Human + AICapability Matrix

The Human + AI
Capability Matrix