LiveAgentic AI deploymentWestern cycleAnchors pending

Before end of 2027, an autonomous AI agent causes a real-world incident requiring human-override and public disclosure?

As of 6 Oct · 22:19 UTCResolves 31 Dec 20272 movers0 pressure moments
Timeline A · First Public Agent-Override EventReality
45%
Crowd 50%Gap +5

By the end of 2027, an AI system running on its own makes a costly mistake that people catch and have to step in to stop. A delivery robot navigates into a crowd, or an AI agent selling stocks makes bad trades before a human kills the switch. Companies admit what happened publicly, regulators ask hard questions, and the incident gets reported in major news outlets.

Timeline B · No Public Agent-Override EventReality
55%
Crowd 50%Gap −5

Through 2027, autonomous AI systems deployed by major companies operate without causing a major public incident that needs official disclosure. Tests fail in labs, edge cases get caught in sandbox trials, or companies stay cautious enough with real-world rollout that nothing breaks badly enough to make headlines or trigger regulator intervention.

crowd 50
The quiet paththe one nobody’s watching

Systemic infrastructure collapse that forces all AI deployments offline at once, overshadowing individual incident narratives.

6%
The read
No Public Agent-Override Event and First Public Agent-Override Event are near balance.

Neither path has decisive pull. The levers below are where trajectory bends.

Where reality is heading

A, 80% bandCrowd today
Projected reality support to 31 Dec 2028A rises from 41% to about 52% with an 80% band of 33 to 71. B falls from 53% to about 44%. Quiet path near 4 to 6%. Crowd today: A 55%.100%7550250Crowd today · A 50%A ~52%B ~44%P ~4%NowJan 2027Jan 202831 Dec 2028
Reality crosses toward A in early 2028. Today’s crowd number sits at the top of A’s band, possible but optimistic. View as table

The movers, ranked by leverage

01
Agent-sandboxing norms + capability-attestation infrastructureA specific actor whose decisions push the trajectory toward one timeline or the other.
leverage 0
Conditional
02
Insurance-market pricingOnce underwriters quantify agent risk
leverage 0
Conditional

What would change our mind

Signals toward A
  • Through 2027, agentic AI deployments stay bounded enough that no incident requires public disclosure of human-override action
  • Narrow-domain agents (customer support, code execution, scheduling) perform within guardrails
  • Enterprise + consumer agentic-deployment velocity: movement in the direction that supports No Public Agent-Override Event
Signals toward B
  • A public incident occurs — an agentic system (code-execution agent, long-horizon planner, embodied robot in a public setting, financial agent) requires human override after causing public-visible real-world consequences
  • The incident becomes an inflection point for agent-deployment governance
  • Enterprise + consumer agentic-deployment velocity: movement in the direction that supports First Public Agent-Override Event

Evidence