As AETHRA scales, we recognize several key risks that could impact platform success:
Risk: Over time, AI matching models may lose effectiveness if they aren’t retrained on fresh data.
Impact: Mismatches increase, eroding user trust and driving higher manual intervention.
Risk: Undiscovered bugs in credential or staking contracts could be exploited.
Impact: Token or credential theft, legal liabilities, and reputational damage.
Risk: Evolving data protection or blockchain regulations (e.g., GDPR updates, crypto laws).
Impact: Potential compliance gaps, requiring rapid product or legal adjustments.
Risk: Organizations hesitant to trust AI-driven processes or on-chain proofs.
Impact: Slower pilot uptake and reduced network effects.
Risk: Infrastructure may struggle under high transaction volumes or user load.
Impact: Service degradation, increased costs, and customer churn.
