---
id: "evidence-goldman-sachs-projection"
type: "evidence"
stance: "macro-context"
org: "Goldman Sachs"
canonical_reference: "Goldman Sachs Insights, \\\\\\\"How Will AI Affect the US Labor Market?\\\\\\\""
tags: ["macro-projection", "global-exposure", "future-of-work"]
related: ["claim-long-term-uncertainty", "question-long-term-global-impact", "concept-ai-augmentation-complementarity"]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-35-ai-changing-labor-market"
sourceUrl: "https://hbr.org/2026/03/research-how-ai-is-changing-the-labor-market"
sourceTitle: "Research: How AI Is Changing the Labor Market"
---
# Goldman Sachs — How Will AI Affect the US Labor Market?

**Source:** Goldman Sachs Insights, *"How Will AI Affect the US Labor Market?"* (enrichment ref [4])

**What it finds:** A macro-oriented projection: large *potential* exposure (e.g., **~300 million jobs exposed globally**, ~**25% of U.S. work hours automatable**), but expects many jobs to be **augmented rather than eliminated**, with new roles in infrastructure, AI governance, and specialized fields. Base case: **~6–7% of workers displaced over roughly a decade** — gradual, not sudden. Early impact already felt in tech, knowledge, and creative sectors.

**How it bears on this vault:**
- *Provides macro scale* for the micro, demand-side findings in [[claim-post-chatgpt-demand-shift]].
- *Supports* the augmentation thesis ([[concept-ai-augmentation-complementarity]]) and the gradualist framing behind [[claim-long-term-uncertainty]] and [[question-long-term-global-impact]].
- *Tempers* short-term alarm: realized displacement so far is modest and concentrated, echoing [[evidence-stanford-canaries]] and [[evidence-yale-budget-lab]].