Live Evidence
Field evidence of dispute-resolution protocols, arbitration markets, and liability attribution mechanisms being specified, piloted, or standardized for agent economies.
Entries are produced by automated routing + quality gates from the open evidence corpus. Each links to primary sources.
June 15, 2026
For the first time ever, agentic AI internet activity has overtaken human-generated traffic.
Why this matters
A surge in automated agent-to-agent interactions will dramatically increase the volume and complexity of disputes between autonomous systems, stressing existing smart-contract dispute mechanisms and automated settlement protocols.
Sources
March 16, 2026
India’s Competition Commission is preparing to take action on potential anti-competitive conduct in the AI sector.
Why this matters
Automated settlement and smart-contract dispute mechanisms increasingly rely on AI for pricing and decision logic. Regulatory findings of anti-competitive AI behavior could directly challenge the fairness and enforceability of automated agent-to-agent resolutions, exposing platforms to compliance risk.
Sources
March 12, 2026
A new report found that AI is driving a surge in pro se (self-represented) litigants, with uncertain implications for the relationship between law firms and their clients.
Why this matters
As more individuals bypass traditional legal representation using AI tools, the volume of low-value, high-frequency disputes will rise, creating pressure for scalable agent-to-agent dispute protocols and automated settlement mechanisms to handle conflicts without human intermediaries.
Sources
March 10, 2026
Britain’s Airport Coordination Limited was appointed to manage slots at Sydney Airport, replacing a joint venture between Qantas and Virgin Australia after government concerns that the previous system allowed ‘slot hoarding’ and strategic last-minute cancellations to block competition.
Why this matters
Demonstrates a real-world pattern where legitimate reservation or allocation mechanisms are gamed to exhaust shared resources and exclude competitors—a dynamic directly analogous to automated settlement, escrow, or chargeback systems in agent-to-agent dispute protocols, where bad actors could exploit procedural rules to drain counterparty resources or delay resolution.
Sources
March 4, 2026
AI-native social network Moltbook demonstrates agents posting, negotiating and settling payments on-chain, illustrating practical cross-jurisdictional commerce without human intermediaries.
Why this matters
Agent-to-agent payment settlement across borders introduces novel dispute scenarios—when autonomous agents transact on-chain, automated settlement and escrow protocols must handle conflicts without human intervention, directly challenging existing smart-contract dispute mechanisms.
Sources
March 2, 2026
Haseeb Qureshi stated that AI agents have a comparative advantage in committing crimes because there is no effective legal enforcement against them.
Why this matters
This creates a direct threat to agent-to-agent dispute resolution protocols, as autonomous agents can exploit automated settlement and escrow mechanisms without fear of legal recourse, undermining the reliability of smart-contract dispute mechanisms.
Sources
February 6, 2026
AI-enabled bots automatically submit low-value refund requests across retail sites, generating continuous fraudulent tickets that flood customer support pipelines and raise operational costs.
Why this matters
Automated refund fraud directly stresses agent-to-agent dispute resolution protocols and smart-contract settlement layers, as platforms must distinguish legitimate automated claims from bot-driven abuse without manual review.
Sources