---
id: "quote-anthropic-scale"
type: "quote"
source_timestamps: ["§ When You Need the “Why” Behind the Numbers"]
tags: ["scale", "global-reach"]
related: ["entity-anthropic", "claim-ai-resolves-research-tradeoff", "concept-llm-based-interviewers"]
speaker: "Anthropic (Company Statement)"
speakers: ["Anthropic"]
quote: "AI has enabled us to collect rich, open-ended interviews at an extraordinary scale. This approach bridges the typical tradeoff in qualitative research between depth and volume."
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-new-30-ai-scale-customer-research"
sourceUrl: "https://hbr.org/2026/04/how-ai-helps-scale-qualitative-customer-research"
sourceTitle: "How AI Helps Scale Qualitative Customer Research"
---
# Anthropic on Bridging the Tradeoff

> "AI has enabled us to collect rich, open-ended interviews at an extraordinary scale. This approach bridges the typical tradeoff in qualitative research between depth and volume."

— **[[entity-anthropic-d5]]** (company statement)

Anthropic's statement on the results of its 80,000-interview global deployment. Note the deliberately measured verb — **"bridges"** the tradeoff, not "resolves" it — which aligns with the enrichment's calibration of [[claim-ai-resolves-research-tradeoff]] and the underlying [[concept-llm-based-interviewers]].