---
id: "claim-trust-roi-metrics"
type: "claim"
source_timestamps: ["¶34"]
tags: ["roi", "adoption-metrics", "productivity"]
related: ["concept-agentic-ai-skepticism", "framework-four-factors-trust"]
confidence: "high"
testable: true
provenance: "Deloitte TrustID Workforce Index"
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-40-workers-dont-trust-ai"
sourceUrl: "https://hbr.org/2025/11/workers-dont-trust-ai-heres-how-companies-can-change-that"
sourceTitle: "Workers Don’t Trust AI. Here’s How Companies Can Change That."
---
# High Trust Yields 10x Belief in Agentic AI

**Claim:** When organizational trust is high, behavioral outcomes improve dramatically. High-trust employees are:
- Nearly **10× more likely** to view **agentic AI** as critical to their team's success (see [[concept-agentic-ai-skepticism]]);
- Almost **3× more likely** to use **generative AI daily**; and
- Save an average of **~2 hours per week** compared to peers who use the *exact same tools* but lack trust in their employer.

This is the ROI argument that makes trust measurement (see [[framework-four-factors-trust]]) a bottom-line concern, not a soft one.

**Confidence: HIGH.**

**Enrichment validation:** *Consistent with Deloitte's published direction of effects and magnitude* (multiple-times-more-likely to adopt/advocate, plus hours saved). The **specific 10× / 3× / 2h figures should be read as TrustID Workforce Index outputs from a particular cut of the dataset** rather than universal multipliers. Because "high trust" is a segment definition, ask for the underlying baseline/methodology before extrapolating.