AI Agent Reliability in 2025: Failure Modes and Success Rates of Long-Horizon Tasks

July 11, 2026Open Access

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Key Points

To evaluate the reliability of AI agents in executing long-horizon tasks by examining failure modes and their success rates.
Analyzed various long-horizon tasks assigned to AI agents.
Identified and categorized different failure modes encountered by these agents.
Measured success rates over extended periods of task execution.
Identified key failure modes that significantly impact task success rates.
Reported a success rate of X% for identified tasks, highlighting critical reliability concerns.
Suggested improvements for AI agent training to enhance performance in long-horizon tasks.

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Research article assesses AI agent reliability in long-horizon tasks, indicating potential improvements for future applications.

Research article: AI Agent Reliability in 2025: Failure Modes and Success Rates of Long-Horizon Tasks

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Ивченко et al. (2026) studied this question.

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