---
id: "contrarian-inefficiency-is-good"
type: "contrarian-insight"
source_timestamps: ["¶18"]
tags: ["system-design", "optimization", "contrarian-insight"]
related: ["concept-deliberate-inefficiency", "quote-deliberate-inefficiency", "framework-ai-accountability"]
challenges: "The conventional tech industry belief that maximum efficiency and automation of workflows is always the optimal business strategy."
sources: ["futures"]
sourceVaultSlug: "hbr-seg-futures"
originDay: 2
articleStem: "hbr-cl-84-big-tech-capability-crisis"
sourceUrl: "https://hbr.org/2026/06/big-techs-looming-capability-crisis"
sourceTitle: "Big Tech’s Looming Capability Crisis"
---
# Deliberate Inefficiency Is Necessary for Sustainability

## Contrarian: Deliberate Inefficiency Is Necessary for Sustainability

**Conventional wisdom:** friction and inefficiency should be ruthlessly optimized out of workflows — a goal AI accelerates.

**The authors' inversion:** in systems that rely on human judgment and apprenticeship, [[concept-deliberate-inefficiency|deliberate inefficiency]] (friction, mandatory reviews, pairing) is a **vital mechanism** to prevent the collapse of the system's long-term capabilities.

This contrarian stance underpins the entire [[framework-ai-accountability|mitigation framework]] and is captured in [[quote-deliberate-inefficiency]].

> Enrichment / counter-perspective: This is a genuine but contested governance strategy. Critics argue well-designed automation — not mandated inefficiency — is what keeps systems sustainable at scale, and that friction can shift liability without improving quality unless paired with strong testing and ownership.