DIG_INF_003

Cloud Vendor Lock-in

Strategic margin risk (FIN_VAL_002) where deep architectural dependency on proprietary Cloud/AI APIs (DT08) and extreme 'Data Gravity' (LI02) eliminates bargaining power. Firms become 'Price Takers' against dominant providers (FR04), as the cost of egress and refactoring exceeds the net present value of migration.

Digital Infrastructure & Tech Stack 3 Conditions 2 Playbooks

Business Impact

Pricing Power Collapse. Total reliance allows vendors to impose 30%+ price hikes or mandate shifts to high-cost 'Managed' tiers; results in structural margin compression (FIN_VAL_002) and a 10-20% discount on market multiples due to 'Platform Fragility'.

Trigger Conditions

All conditions must be met to trigger this risk

DT08 Systemic Siloing & Integration Fragility
≥ 5 / 5

Extreme Systemic Siloing: Zero external interoperability; data is trapped in proprietary or paper-based formats; all exchange requires manual re-entry into partner systems.

FR04 Structural Supply Fragility & Nodal Criticality
≥ 5 / 5

Extreme Concentration / Choke-point: Single-source dependency or 'Single Point of Failure' (SPOF) at a sub-tier level; no viable technical substitute exists; loss of source results in systemic cessation.

LI02 Structural Inventory Inertia
≥ 5 / 5

Ultra-Cold / High-Peril: Requires extreme specialized infrastructure (Cryogenic, Hazardous containment). Highest risk; impossible to stockpile without sovereign-level investment.

Mitigation Strategy

Adopt 'Cloud-Agnostic' orchestration (Kubernetes/Crossplane); use Open-Standard APIs (S3-compatible, SQL-standard); perform 'Exit-Readiness' audits to verify that 'Day-Zero' migration costs remain below 10% of annual spend.

Triggered Playbooks

2 playbooks respond to this risk:

DIG Infrastructure Repatriation (Sovereign Cloud)
4 steps
INN Strategic Acqui-Hire (Talent Extraction)
4 steps

Risk Cascade

Rules can trigger other rules in a cascade effect:

Example Scenario

Enterprise Software / Fintech (ISIC 5820)

In 2026, a SaaS firm (DT08) is forced to accept a 40% increase in hosting costs because their entire AI-inference engine is locked into a vendor's proprietary silicon and data lake, making migration a 24-month, $50M endeavor.