---
id: "entity-scaled-agile"
type: "entity"
entityType: "organization"
canonicalName: "Scaled Agile"
aliases: ["\\\"Scaled Agile", "Inc.\\\""]
source_timestamps: ["§ A Survey of Executives Suggests Anticipatory Effects"]
tags: ["sponsor", "research"]
related: ["concept-anticipatory-ai-layoffs"]
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-foci-62-layoffs-ai-potential-not-performance"
sourceUrl: "https://hbr.org/2026/01/companies-are-laying-off-workers-because-of-ais-potential-not-its-performance"
sourceTitle: "Companies Are Laying Off Workers Because of AI’s Potential—Not Its Performance"
---
# Scaled Agile

**Role in source:** Sponsor of the primary evidence base — the **December 2025 survey of 1,006 global executives** on AI's economic value and impact on headcount.

**Profile:** An AI and business-agility methods company. Its survey is the empirical spine of the article, supplying the headline figures used throughout: 90% deriving value, 44% finding generative AI hardest to value, 2% performance-based large cuts, and the 60% anticipatory-cut breakdown (39% low-to-moderate, 21% large) that defines [[concept-anticipatory-ai-layoffs]] and [[claim-genai-hardest-to-value]].

**Interpretive caution (enrichment):** As a vendor with a business-agility and transformation lens, Scaled Agile may shape how the survey is framed. Its own 'AI Augmented Workforce' framework uses *augmentation* language rather than replacement — consistent with, and arguably self-reinforcing of, the article's recommendation set in [[framework-effective-ai-implementation]]. The specific December 2025 survey could not be independently located in the enrichment research set, so its exact figures remain a primary-source citation.