DIG

Industry Archetype

Digital, IP & Knowledge

Industries where the primary product is intangible — software, data, intellectual property, professional knowledge, or communication services. The lowest regulatory burden of any archetype (RP mean: 2.74) and the lowest sustainability liability (SU mean: 2.66). Risk is concentrated in data classification, system integration, and technology adoption dynamics.

21 Industries
2.76 Average Risk
DT, PM, ER Primary Signals

Risk Profile

DIG industries should not be evaluated against IND or UTL baselines — the structural risk profile is fundamentally different. Regulatory exposure (RP) and Sustainability liability (SU) are low. The meaningful risks are in data taxonomy (DT), human-capital dynamics (PM), and technology integration friction (DT07, DT08). When a DIG industry scores above average on RP, that is an anomaly worth investigating — it typically signals a regulated digital sector (fintech, health tech, communications infrastructure).

Structural Insight

The PM pillar (Procurement & Market) average of 3.16 for DIG is the highest after IND (3.39) — surprisingly elevated for a non-physical archetype. This reflects the human capital intensity of knowledge industries: talent acquisition rigidity and knowledge concentration risk are real operational constraints that don't show up in physical logistics metrics but matter enormously for DIG industries.

Pillar Baselines

RP
2.74
SU
2.66
LI
2.74
SC
2.71
ER
2.82
FR
2.7
DT
2.97
IN
2.67
CS
2.63
PM
3.16
MD
2.7

Scores 0–5. Darker bars = primary signal pillars for this archetype. Dataset mean: 2.90 across all 129 industries.

Key Risk Amplifiers

Attributes in the primary signal pillars that most strongly predict overall industry risk elevation across the full dataset.

ER03 Asset Rigidity & Capital Barrier r=0.626
ER08 Resilience Capital Intensity r=0.527
ER04 Operating Leverage & Cash Cycle Rigidity r=0.441
DT03 Taxonomic Friction & Misclassification Risk r=0.42

Pearson r = correlation with overall industry risk score across 123 analysed industries. Tier 1 (r ≥ 0.50) attributes are the strongest structural predictors.

21 Industries in Digital, IP & Knowledge

Sorted by overall risk score — highest first.

No industries have been classified to this archetype yet.