The ten highest-rated generative AI adoption barriers by sample
| Rank | Wellbeing services | Technical services |
|---|---|---|
| Barrier (% high barrier) | Barrier (% high barrier) | |
| 1 | A: Limited knowledge of apps (84%) | M: Doubts about accuracy/reliability (76%) |
| 2 | O: Inadequate training (83%) | M: Unclear concrete benefits (73%) |
| 3 | M: Unclear concrete benefits (81%) | A: Limited knowledge of apps (67%) |
| 4 | O: Absence of guidelines/policies (76%) | O: Lack of suitable apps (64%) |
| 5 | O: Inadequate peer support (73%) | O: Insufficient time to learn (64%) |
| 6 | O: Lack of suitable apps (71%) | M: Security/privacy concerns (64%) |
| 7 | O: Insufficient time to learn (66%) | O: Inadequate training (61%) |
| 8 | O: Accountability uncertainty (61%) | O: Accountability uncertainty (60%) |
| 9 | A: Competence uncertainty (60%) | M: Ethical concerns (56%) |
| 10 | M: Security/privacy concerns (56%) | O: Lack of guidelines/policies (44%) |
| Rank | Wellbeing services | Technical services |
|---|---|---|
| Barrier (% high barrier) | Barrier (% high barrier) | |
| 1 | A: Limited knowledge of apps (84%) | M: Doubts about accuracy/reliability (76%) |
| 2 | O: Inadequate training (83%) | M: Unclear concrete benefits (73%) |
| 3 | M: Unclear concrete benefits (81%) | A: Limited knowledge of apps (67%) |
| 4 | O: Absence of guidelines/policies (76%) | O: Lack of suitable apps (64%) |
| 5 | O: Inadequate peer support (73%) | O: Insufficient time to learn (64%) |
| 6 | O: Lack of suitable apps (71%) | M: Security/privacy concerns (64%) |
| 7 | O: Insufficient time to learn (66%) | O: Inadequate training (61%) |
| 8 | O: Accountability uncertainty (61%) | O: Accountability uncertainty (60%) |
| 9 | A: Competence uncertainty (60%) | M: Ethical concerns (56%) |
| 10 | M: Security/privacy concerns (56%) | O: Lack of guidelines/policies (44%) |
High barrier denotes a rating of 2 (moderate effect) or 3 (very strong effect) on the 0–3 scale. Percentages indicate the share of respondents in each sector who rated the item 2 or 3; respondents selecting “do not know” are excluded from the denominator. Wellbeing services percentages describe one regional organization, and technical services percentages describe a sample drawn from 104 municipalities; the rankings characterize these sample configurations
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