Stack Overflow's 2025 developer survey reveals a paradox: AI tool adoption has risen to 84% while trust in AI accuracy has dropped sharply, with only 29% of developers trusting AI outputs (down from 40% in 2024). This trust gap has direct implications for enterprise SaaS purchasing decisions. Key recommendations for evaluators include scrutinizing where AI outputs are load-bearing, demanding specifics from vendors about failure modes and accuracy measurement, favoring tools that communicate uncertainty and confidence levels, and factoring in the hidden cost of time spent verifying AI outputs. Organizations that ignore the trust gap risk failed adoption and poor ROI on AI investments.
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Why is trust falling if usage is rising?What the trust gap means for SaaS decisionsThe cost of lack of trustThe uncomfortable middle groundSort: