Issue Designed friction to stop human capability eroding
Summary
EY argues that even highly fluid, AI-heavy organizations should deliberately build in moments that slow people down. The reasoning is that learning with intelligent systems rests on three mutually reinforcing layers: a mindset open to experiment and to questioning AI output, a skill set centred on distinctly human strengths, and a toolset of adaptive platforms and feedback loops. As machines absorb more analytical and operational work, judgment, ethical reasoning, creativity, storytelling and empathy become what sets people apart. Those strengths are not self-sustaining, however, and they weaken when AI is allowed to stand in for critical thinking. Intentional pauses that push people to analyse and reflect are therefore presented as a way to protect capability rather than as a drag on speed.
Classification
Evidence 1
- Futures Reimagined: EY Megatrends 2026 and beyond EY (Ernst & Young Global Limited) page=34;section=Megatrend 4: Talent rewritten 2026 accessed 2026-07-25
Constituent trends 1
- TrendTalent rewritten3 signals
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-f2b2e6a2c386
