Structural Analysis of Artificial Intelligence

Artificial intelligence is not only a capability shift but a structural one. As AI systems scale, they compress decision layers, increase coordination density, and reshape economic and institutional boundaries. Structural AI develops formal tools to classify these transformations in terms of scope, invariants, and regime limits. Our objective is to move from commentary to systematic structural evaluation — and to build a structural analysis engine grounded in Scope–Invariance Geometry (SIG).

This site publishes the full versions of monthly Structural Notes. Each note contains:

• a readable main argument
• a formal structural appendix (SIG)

This month we have published Structural Note 01 (April 2026) – What Humanity’s Last Exam Really Shows About AI Progress? [Read main note] [Full version]

What you will find here:

• Why AI benchmarks fail
• Why evaluation is becoming unstable
• How AI changes coordination and control