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Sector Lens

Disruption Vector Scanner

What forces could structurally reshape this sector within 3 years?

6
Stages
2
Signals
1
Sectors

The Disruption Vector Scanner identifies specific forces that could fundamentally alter a sector's competitive landscape, cost structure, or business model viability within a 3-year horizon. Disruption comes from three vectors: (a) technology shifts that change cost structure, (b) regulatory changes that alter rules, and (c) business model innovation that redefines value delivery.

This lens applies the Christensen test: "Is there a new entrant that is worse today but improving faster on the dimension customers will eventually care about?" The goal is to separate genuine disruption risk from hype cycles, and to assess how fast each constituent is adapting.

Signals Produced

Disruption Exposure

DISRUPTION_EXPOSURE

INSULATEDADAPTINGVULNERABLEEXISTENTIAL

Adaptation Speed

ADAPTATION_SPEED

LEADINGMATCHINGLAGGINGDENYING

What This Lens Catches

PatternExampleSignal
Structural insulationRegulated utility with no viable alternative technologyINSULATED
Active adaptationCompany replatforming onto AI with measurable product improvementsADAPTING
Denial while vulnerableManagement dismisses AI threat while startup grows 200% YoYVULNERABLE + DENYING
Existential technology shiftAI code generation threatening dev tools at 10x lower costEXISTENTIAL
Leader in adaptationFirst mover with AI-native product; competitors 12+ months behindLEADING
Active denialManagement explicitly downplaying risk; no R&D reallocationDENYING

Analysis Stages

1

Disruption Vector Identification

What specific forces could reshape this sector? Categorize as technology, regulatory, or business model.

2

Per-Company Adaptation Assessment

For each constituent, how fast are they adapting? Evidence from product launches, R&D reallocation, pricing model changes.

3

New Entrant Mapping

Who are the startups building replacements? Growth rates, funding, competitive price/performance.

4

Regulatory Direction

Is regulation accelerating or decelerating disruption?

5

Customer Adoption Evidence

Are buyers actually switching to disruptive alternatives?

6

Timeline & Severity Assessment

How quickly could disruption materially impact the sector?

Required Sources

Must Have

Sector Dossier

Management commentary on AI/disruption, R&D spending, product roadmaps, competitive threats

Internal (Archivist output)

Equity Signal Digest

Moat Mapper defensibility signals, Revenue Revealer durability signals across constituents

Internal (equity lens outputs)

Earnings Call Transcripts

Disruption commentary, AI integration plans, pricing model changes, new entrant mentions

Seeking Alpha, company IR

Enhances Analysis

Google Trends Data

Search interest for disruptive terms (e.g., 'AI code generation' for dev tools)

Google Trends

USPTO Patent Data

CPC patent velocity in disruption-adjacent categories; filing trends by company

USPTO PatentsView

Job Postings Data

AI/ML role percentage of total openings; new-tech hiring velocity

Career pages, LinkedIn

Federal Register

Proposed rules affecting the sector; regulatory comment periods

Federal Register API

What This Lens Does NOT Do

  • Does not assess individual company competitive positioning (that is Competitive Chessboard)
  • Does not assess capital allocation quality (that is Capital Cycle Gauge)
  • Does not analyze value chain structure (that is Value Chain Mapper)
  • Does not predict which specific company will 'win' or 'lose' from disruption

When This Lens Applies

Always applicable — Every sector analysis should include disruption assessment.

Technical Details

Complexity:6 analytical stages | LLM-heavy (qualitative assessment with supporting alt data)

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