Whose readiness counts? Disagreement within and between sectors in perceived AI and robotics preparedness

Research from arXiv highlights that aggregated readiness assessments for AI and Industry 4.0 often obscure significant internal disagreement regarding preparedness levels. A study involving 982 respondents evaluating 17 AI and robotics challenges revealed substantial variance in perceived community preparedness and available resources, indicating that single-score summaries may conceal critical differences in understanding and capability.

Why it matters

This research reveals a critical limitation in how technological readiness is often measured and communicated, particularly for AI and Industry 4.0. Over-simplified readiness scores can lead to misinformed strategic decisions, underestimation of risks, or misallocation of resources, as they mask fundamental disagreements and varying states of preparedness within and between sectors.

Key insights

• AI and Industry 4.0 readiness assessments frequently simplify preparedness into a single score for entities or domains.
• This aggregation can hide significant disagreements about the same technology and variations within broader sector labels.
• A study using a card-based survey collected 15,200 readiness evaluations from 982 respondents across 17 AI and robotics challenges.
• Readiness was defined as perceived community preparedness and available resources, distinct from personal willingness or audited organizational capability.
• Respondents demonstrated frequent disagreement on identical challenges, with readiness standard deviations ranging from 1.03 to 1.26 on a five-point scale.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.23406