Unverified50% confidenceOpinionExact time
Niran argues that the core tension in enterprise AI Agent deployment is the trade-off between capability and trust — the key question is not what the agent can do, but what you dare trust the agent to do.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the era of agentic AI, what determines the success or failure of a product is often not capability but trust.78% similarUnverifiedAI理论能力受限于成本、可靠性、监管、组织流程和人类信任等现实因素73% similarUnverifiedCursor team engineer Lauren believes the true ceiling of AI collaboration lies not in model capabilities but in whether a trust system is established between humans and agents.73% similarUnverifiedThe hardest trade-off when switching to cheaper AI models is trust and data handling.72% similarVerifiedThere is a gap between the autonomy of AI Agents and users' actual expectations; tools that pursue a seamless automation experience tend to weaken or skip operation confirmation steps, bringing the risk of losing control.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/989202API
curl https://kongchang.com/api/v1/knowledge/claims/989202MCP
get_claim(id=989202)