---
id: "claim-responsible-ai-drives-adoption"
type: "claim"
source_timestamps: ["§ [ Stage 2 ] Get Customers to Use Your Agent"]
tags: ["ai-ethics", "product-design", "trust"]
related: ["concept-brand-agents", "concept-human-in-the-loop-escalation"]
confidence: "high"
testable: true
enrichment_status: "specific experimental numbers not corroborated; general proposition well supported"
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-ext-18-preparing-brand-agentic-ai"
sourceUrl: "https://hbr.org/2026/03/preparing-your-brand-for-agentic-ai"
sourceTitle: "Preparing Your Brand for Agentic AI"
---
# Responsible AI Features Drastically Increase Adoption

**Claim.** In discrete-choice experiments involving **3,268 UK participants**, embedding **responsible-AI features** (privacy, auditability/human oversight, understandability) caused massive spikes in predicted adoption. For an AI-powered pension-planning app, adoption jumped from **2.4% to 63.2%**. **Privacy was the most influential factor (31%)**, followed by **auditability (26%)**.

- **Confidence (extraction):** high · **Testable:** yes

This is why [[concept-brand-agents]] should foreground privacy, [[concept-human-in-the-loop-escalation]] (auditability/human oversight), and explainability when persuading consumers in **Stage 2** of [[framework-three-stages-agentic-adoption]].

**Enrichment / verification.** The specific numbers (3,268 UK participants; 2.4% → 63.2%; 31%/26% weights) are not corroborated by the supplied results. The general proposition — that privacy, transparency, and human oversight increase trust and willingness to use AI — is well supported in adjacent AI-adoption research. Treat the exact uplift as unverified within this evidence set.