The Santiago Index

Methodology

How we measure the balance between Builder Momentum and Dependency Creep in the age of AI.

Current reading, history, data and changelog

Two readings

The two meters.

Both run from 10 to 100 and move independently. Both can rise in the same week.

Builder Momentum
Measures signals indicating that AI is empowering individuals to build, create, and own their work. High Builder Momentum suggests the technology is enabling distributed innovation and individual agency.
Dependency Creep
Measures signals indicating increased reliance on centralized platforms, erosion of individual capability, and growing systemic dependencies. High Dependency Creep suggests concerning concentration of power.

Six weighted signals

Signal categories.

Each category is scored 1 to 10 on both bars every week. The weights sum to 100.

25% weight

Labor Market

Entry-level job posting volume, AI-cited layoffs, new operator roles created.

Builder signals

New operator roles, AI-augmented job growth, Skill premium increase

Dependency signals

Entry-level job cuts, AI-cited layoffs, Credential inflation

20% weight

Education

AI ban policies, integration pilots, alternative school enrollment.

Builder signals

AI integration pilots, Alternative school growth, Skill-based learning adoption

Dependency signals

AI bans in schools, Credential doubling-down, Standardized test reliance

20% weight

Platform Power

Open-source releases vs closed platform lock-in, API pricing changes.

Builder signals

Open-source model releases, API price drops, Interoperability standards

Dependency signals

Platform lock-in events, API price hikes, Walled garden expansion

15% weight

Builder Activity

New AI tools by individuals/small teams, GitHub open-source velocity.

Builder signals

Indie AI tool launches, GitHub project velocity, Solo developer success stories

Dependency signals

Indie tool acquisitions, Market consolidation, Barrier to entry increases

10% weight

Policy and Regulation

Government AI regulations, concentration vs distribution of AI governance.

Builder signals

Pro-builder regulations, Distributed governance, Open licensing frameworks

Dependency signals

Regulatory capture, Concentration of AI power, Compliance barriers

10% weight

Public Sentiment

Media tenor on AI, fear vs empowerment framing in coverage.

Builder signals

Empowerment framing, Builder success stories, Agency narratives

Dependency signals

Fear framing, Doom coverage, Helplessness narratives

How the needle moves

Scoring rules.

Applied per category and per bar. A signal is an article finding (council median, with a quote and a source) or the weekly council assessment moving a category score. A bar moves to the council's proposed score only when 3 or more unapplied signals from the last 28 days point that way, or one SIGNIFICANT article finding does. Signals that move the needle are consumed.

Independence

Both meters can rise or fall simultaneously. They are not a zero-sum game.

Scaling

Each category is scored 1 to 10 on both bars. Each meter = (25 x labor + 20 x education + 20 x platform + 15 x builder + 10 x policy + 10 x sentiment) / 10, so it runs from 10 to 100.

Inertia

Needles move slowly. Requires 3+ signals in the same direction OR a significant threshold event, per category and bar. Signals count for 28 days; the score moves to the council's proposed score and the signals that moved it are used up.

Permanence

Predictions are never deleted. Contradicted predictions remain visible with their score.

Weekly Cadence

Readings are updated weekly based on signal assessments across all six categories.

How predictions are scored

  • Confirmed (5): Real-world events clearly validated the prediction
  • Trending Confirmed (4): Evidence mounting strongly in predicted direction
  • Pending (3): Insufficient evidence yet, prediction remains live
  • Trending Contradicted (2): Evidence mounting against the prediction
  • Contradicted (1): Real-world events clearly invalidated the prediction
  • Retired (0): Time-bound prediction window closed without resolution

The prediction scorecard

Declared perspective

The Santiago Index measures the AI transition through the lens of Freedom Tech and human agency. It is not a neutral instrument. Its definitions of Builder Momentum and Dependency Creep reflect specific values: individual sovereignty, data ownership, platform independence, and the belief that AI should empower rather than replace human capability. This perspective is stated explicitly rather than hidden behind false neutrality.