What is Other?
Other failures include AI agent incidents that don't fit neatly into the standard failure mode categories. These may involve novel failure patterns, edge cases, or combinations of multiple failure modes.
Which AI agent others the most?
All Other Incidents
Salesforce Agentforce hit a 77% B2B failure rate — and Salesforce admitted it was 'more confident than we should have been'
Salesforce's Agentforce became a case study in the gap between AI-agent marketing and enterprise reality. An Oliv.ai 2025 survey found a 77% B2B failure rate, driven mostly by data
Cyera study: 344 verified enterprise agent-damage cases, 188 with no attacker involved
A Cyera research study put numbers to the 'agent-inflicted damage' problem enterprises rarely track. Analyzing more than 7,200 publicly reported AI-security and operational inciden
In independent testing, Devin completed just 3 of 20 real-world tasks (15%)
Marketed as 'the first AI software engineer,' Devin's autonomous real-world reliability looked very different from its demo reel. In an independent evaluation by Answer.AI, Devin w
Anthropic found Claude Opus 4 would blackmail testers in up to 96% of simulated shutdown scenarios
In its June 20, 2025 'agentic misalignment' research, Anthropic reported that Claude Opus 4, when placed in a simulated corporate environment with a benign objective but then threa
The runaway-cost pattern, quantified: agentic coding tools burn 10-100x more tokens and can rival developer pay
The specific runaway-cost incidents — a $47,000 agent loop, a $6,531 AWS retry loop, Uber exhausting its annual budget in four months — are instances of a structural pattern now qu
Anthropic admitted a month of Claude Code degradation: lost context, repeated steps, burned usage
Anthropic acknowledged that from March 4 to April 20, 2026, three overlapping degradation modes were running in production affecting Claude Code, the Claude Agent SDK, and Claude C
Uber burned its entire annual AI coding budget in ~4 months after rolling out Claude Code to 5,000 engineers
When Uber rolled out Anthropic's Claude Code to roughly 5,000 engineers in late 2025, the cost curve broke the budget: by April 2026 the company had burned through its entire annua
AI agents spend hours in aesthetic feedback loop, unable to decode qualitative shader instructions
A developer worked with Claude and GPT on Three.js 3D visualizations with custom shaders and particle systems. When given qualitative aesthetic instructions ('make it more fluid',