---
id: "entity-gartner-d33"
type: "entity"
entityType: "organization"
canonicalName: "Gartner"
source_timestamps: ["¶1"]
tags: ["research-firm"]
related: ["claim-ai-roi-failure"]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-33-new-tools-workforce-training"
sourceUrl: "https://hbr.org/2025/12/the-new-tools-that-can-improve-workforce-training"
sourceTitle: "The New Tools That Can Improve Workforce Training"
---
# Gartner

## Gartner

A technology research and advisory firm cited as the source of the article's opening statistic: the majority of the **$1.5T–$2T** in AI-initiative spending will **not meet expected returns** due to workforce-utilization failures — the empirical hook for [[claim-ai-roi-failure]].

**External context:** Gartner frequently publishes AI adoption/ROI analyses reporting high failure rates for AI projects (often cited around **80–85%** for early AI/ML initiatives) and attributes those failures to organizational factors — poor change management, lack of skills, data quality, and misaligned use cases — **not technology alone**. This nuance qualifies the source's training-centric framing; see [[appraisal-xr-targeted-not-universal]].


## Related across articles
- [[entity-gartner-d50]]