R0029/2026-03-27/Q002
Query: What does current research say about public and technology community sentiment toward AI-generated content? Specifically surveys, polls, and studies measuring how people perceive AI-generated versus human-generated work, including trust levels and negative attitudes.
BLUF: Public sentiment is deeply fragmented rather than uniformly positive or negative. Global trust in AI stands at 46% (KPMG, 48K+ respondents), masking a dramatic split between advanced economies (39%) and emerging economies (57%). A trust-use paradox exists: 66% use AI regularly despite majority distrust. Attitudes trend slowly positive (52% to 55% seeing benefits, 2022-2024) but remain far from consensus.
Answer: H3 (Mixed and context-dependent) · Confidence: High
Summary
| Entity |
Description |
| Query Definition |
Question as received, clarified, ambiguities, sub-questions |
| Assessment |
Full analytical product |
| ACH Matrix |
Evidence × hypotheses diagnosticity analysis |
| Self-Audit |
ROBIS-adapted 4-domain process audit |
Hypotheses
| ID |
Statement |
Status |
| H1 |
Predominantly negative sentiment |
Partially supported |
| H2 |
Predominantly positive sentiment |
Eliminated |
| H3 |
Mixed and context-dependent |
Supported |
Key Statistics
| Metric |
Value |
Source |
| Global trust in AI |
46% |
KPMG/Melbourne 2025 |
| Advanced economy trust |
39% |
KPMG/Melbourne 2025 |
| Emerging economy trust |
57% |
KPMG/Melbourne 2025 |
| Regular AI users |
66% |
KPMG/Melbourne 2025 |
| See AI as beneficial (global) |
55% |
Ipsos/Stanford HAI 2024 |
| Beneficial trend (2022-2024) |
+3 pp (52% to 55%) |
Ipsos 2022-2024 |
| Country range (beneficial) |
36% to 83% |
Stanford HAI 2025 |
| Want AI regulation |
70% |
KPMG/Melbourne 2025 |
Searches
| ID |
Target |
Type |
Outcome |
| S01 |
Sentiment surveys and polls |
WebSearch |
3 selected, 7 rejected |
| S02 |
KPMG and Stanford HAI details |
WebSearch |
2 selected, 18 rejected |
Sources
| Source |
Description |
Reliability |
Relevance |
Evidence |
| SRC01 |
KPMG/Melbourne global study (48K+) |
High |
High |
1 extract |
| SRC02 |
Stanford HAI AI Index 2025 |
High |
High |
1 extract |
| SRC03 |
Ipsos 26-country longitudinal |
High |
High |
1 extract |
Revisit Triggers
- KPMG/Melbourne 2026 study release (expected April 2026)
- Stanford HAI AI Index 2026
- Any survey showing trust crossing 60% globally or 50% in advanced economies