// Observatory · Case Study No. 4 · Empirical Core · 2026
Supply Chain, AI & Pre-Threshold Contractual Governance
Global chains mediated by algorithms, invisible systemic risks, and the loss of contractual governability
// 1. Subject of the study
Supply chains with algorithmic decision-making
This study examines global supply chains operated under private contracts in which core decision functions — including supplier selection, logistics routing, pricing, and production allocation — are delegated to AI-based algorithmic systems.
The focus is not the technology itself, but the contractual architecture that transfers legally relevant decisions to automated processes, without internal pre-threshold review mechanisms.
// 2. Contractual decision architecture
Formally human contracts, materially algorithmic decisions
The contracts examined (MSAs, SLAs, DPAs, and continuous optimisation clauses) remain formally human, but operate with material decisions determined by algorithmic systems.
- Maximum efficiency and continuous optimisation clauses
- Automatic execution based on performance metrics
- Absence of legal checkpoints or mandatory human review
- No obligation to justify cumulative impacts
// 3. Invisible systemic risks
Risks treated as operational externalities that are in fact systemic
Although treated as operational externalities, the identified risks are systemic and cumulative:
- Structural exclusion of small suppliers and local economies
- Indirect increase in emissions and territorial pressure
- Decision opacity and difficulty of institutional audit
- Irreversible algorithmic dependency accumulating over time
// 4. Observed legal pattern
Formal legality, progressive loss of governability
Law tends to respond only ex post, when supply collapse, public scandal, or late regulatory intervention has already occurred. Until that moment, the contracts remain fully valid.
The result is the maintenance of formal legality alongside a progressive loss of contractual governability.
// 5. The critical juncture for c-ECO
Signals without triggers — trajectory toward irreversibility
Even when signals exist — excessive concentration, repeated exclusions, accumulated ecological impacts — they do not enter the contract as review triggers.
Without a trigger, the system does not "see" the risk in time, and the algorithmic trajectory continues toward irreversibility.
// 6. The c-ECO counterfactual
Internal mechanisms operating at the penultimate stage
The c-ECO clause would introduce internal mechanisms capable of acting at the penultimate stage:
- Ecological and social risks as material elements of the obligation
- Auditable pre-threshold triggers based on cumulative signals
- Institutional duty of review and decision documentation
- Possibility of algorithmic modulation without invalidating the contract
// 7. Analytical conclusion
Case Study No. 4 demonstrates that the greatest contemporary risk is not illegality, but the irreversible automation of contractual decision-making.
c-ECO offers a contractual mechanism to reinscribe time, institutional agency, and governance into algorithmic systems before systemic collapse.
// References
European Commission (2024). EU Artificial Intelligence Act.
Pasquale, F. (2015). The Black Box Society. Harvard University Press.
Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs.