---
id: "prereq-status-quo-bias"
type: "prereq"
source_timestamps: ["¶5"]
tags: ["psychology", "decision-making"]
related: ["concept-ai-automation-strategy", "entity-org-indeed"]
reason: "Explains why leaders naturally default to automation strategies despite the long-term benefits of augmentation."
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-ext-19-augmentation-over-automation"
sourceUrl: "https://hbr.org/2026/04/why-companies-that-choose-ai-augmentation-over-automation-may-win-in-the-long-run"
sourceTitle: "Why Companies That Choose AI Augmentation Over Automation May Win in the Long Run"
---
# Status Quo Bias

**Prerequisite knowledge.** **Status quo bias** is the cognitive tendency to prefer using new technology to *streamline existing processes* — what people already do — rather than undertaking the harder cognitive work of **reimagining entirely new ways to produce value**.

**Why it matters here.** It explains why leaders default to [[concept-ai-automation-strategy|AI automation]] even though [[concept-ai-augmentation-strategy-d1|augmentation]] promises greater long-term returns. The article's empirical illustration is [[entity-org-indeed|Indeed]]'s 2025 Workforce Insights Report (80,000 workers, eight countries), which found AI-saved time was mostly poured back into "more of the same tasks" rather than innovation — status quo bias observed at scale.