BUSBUS-005 — Revenue Model Disruption Blindness
Algorithmic Systems Driving Labour Exploitation and Macroeconomic Instability
3/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems are generating measurable harms across labour markets, including workforce deskilling, unethical data practices, and flash crashes from failed algorithmic trading. Boards face regulatory and reputational exposure as supply chain exploitation and systemic inequality become central to AI accountability frameworks.
Domain
Business & Strategic
Blindspots in business strategy, ROI, market positioning, customer value, and investment prioritisation.
Source
MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023) ↗https://airisk.mit.edu/
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