Practitioners who adopt AI assistance show reduced independent performance compared to their baseline¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Endoscopists who adopted AI-assisted detection systems showed reduced independent accuracy compared to baseline, and a cross-specialty review documents consistent patterns of reduced independent diagnostic performance under AI adoption. → Lovett 2026

Evidence¶

Lovett 2026¶

Lovett, N. (2026). The tragedy of the cognitive commons: How AI could disrupt the regeneration of professional expertise. Human Resource Development Review. Advance online publication. https://doi.org/10.1177/15344843261470602

q2 · i? · theoretical · r3

The article reports Budzyń et al.'s (2025) finding of reduced independent accuracy among AI-adopting endoscopists, echoed by a cross-specialty review and an accounting-firm case study of self-reinforcing skill erosion cycles. No effect size is printed; direction is reduced independent performance.

"endoscopists who adopted AI-assisted detection systems showed reduced independent accuracy compared to baseline, and Natali et al.'s (2025) cross-specialty review documents consistent patterns of reduced independent diagnostic performance under AI adoption"

Discussion¶

Related Claims¶

• Verification bottleneck: as reliance on AI increases, accuracy in detecting AI errors decreases while confidence does not — related
• AI assistance can inflate confidence even after errors and reduce accuracy when AI is faulty (cognitive surrender) — related
• Baseline capability moderates AI productivity benefits non-monotonically across AI's capability frontier — a broader claim this one bears on
• The article reports observational patterns that AI assistance can improve short-term performance while reducing cognitive engagement and independent capability — a broader claim this one bears on