---
id: "entity-oecd"
type: "entity"
source_timestamps: ["¶2", "¶4", "§ Employees Want to Reskill—When It Makes Sense"]
tags: ["research-organization", "macroeconomics"]
related: ["claim-upskilling-insufficient"]
entityType: "organization"
canonicalName: "Organisation for Economic Co-operation and Development"
aliases: ["OECD"]
canonical_url: "https://www.oecd.org"
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-34-reskilling-in-age-of-ai"
sourceUrl: "https://hbr.org/2023/09/reskilling-in-the-age-of-ai"
sourceTitle: "Reskilling in the Age of AI"
---
# Organisation for Economic Co-operation and Development (OECD)

The **OECD** is an intergovernmental organization producing influential analyses on skills, employment, and AI (e.g., *OECD Employment Outlook 2023*, *OECD Skills Outlook*).

In this source it is cited for its **2019 forecast** predicting that within **15 to 20 years**, new automation technologies would **eliminate 14% of the world's jobs and radically transform another 32%**, affecting **over 1 billion people** globally — a forecast made *before* the advent of generative AI like ChatGPT. It is also cited for reporting that typically only a small fraction of workers participate in standard training programs. These figures underpin [[claim-upskilling-insufficient]].

**Enrichment / caution.** The 14%/32% pair is better read as "jobs at high risk of automation" and "jobs undergoing significant change," not guaranteed elimination. OECD early-adoption case studies find many firms report *no change* in skill needs so far (57% finance, 48% manufacturing, ~60% overall), tempering mass-displacement narratives. OECD's own framing emphasizes integrated **upskilling + reskilling over the life course** and adult-learning systems that adapt quickly to AI.