Future Monitor 한국어

Issue Workslop: AI widens skill gaps and contaminates the data models later learn from

Summary

Deloitte describes a compounding failure in which AI amplifies rather than levels performance: less-skilled workers produce plausible but shallow output that slows their own development, and once that output enters organizational data, models trained on it inherit the degradation irreversibly.

Classification

Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-07-26)
Last updated2026-07-29 04:49:52

Evidence 1

Constituent trends 1

Directly linked signals 1

Relation types: constitutes · direct_urgent

Public id: fm-f18078059c8f