---
id: "evidence-stanford-canaries"
type: "evidence"
stance: "corroborating-with-refinement"
org: "Stanford Digital Economy Lab"
canonical_reference: "Stanford Digital Economy Lab, \\\\\\\"Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI.\\\\\\\""
tags: ["early-career", "employment-effects", "counter-perspective"]
related: ["concept-ai-automation-displacement", "claim-sector-specific-reductions"]
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"
---
# Stanford Digital Economy Lab — "Canaries in the Coal Mine?"

**Source:** Stanford Digital Economy Lab, *"Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI"* (enrichment refs [3][6]).

**What it finds:** Large-scale evidence of **substantial employment declines for early-career workers (ages 22–25)** in AI-exposed occupations such as **software development and customer support**, while employment for **more experienced workers is stable or increasing**. Employment *grows* in occupations where AI augments rather than automates. Results are robust to excluding technology firms.

**How it bears on this vault:**
- *Corroborates* [[concept-ai-automation-displacement]] (structured, digital roles are hit) and [[claim-sector-specific-reductions]] (tech and tech-enabled services concentration), and supports [[concept-ai-augmentation-complementarity]] (augmentation-driven growth for experienced workers).
- *Refines the narrative:* the early impact is **demographically concentrated at entry level**, not a uniform economy-wide bifurcation — an important qualification on [[contrarian-ai-creates-labor-demand]].