More now say AI does more harm than good: Survey
Frames rising public concern as a natural, manageable phase in AI’s maturation — implicitly positioning industry responsiveness (e.g., safety initiatives, regulation engagement) as timely and adaptive rather than reactive or overdue.
View original on thehill.comOverview
A Bentley University-Gallup survey found a statistically significant 8-percentage-point increase (31% to 39%) in the share of U.S. adults who believe AI does more harm than good — signaling growing public skepticism about AI’s societal impact.
TL;DR
- Public perception of AI has shifted negatively: 39% now see net harm, up from 31% in 2023.
- The survey reflects broadening concern over AI's long-term societal consequences, not just technical risks.
- This trend challenges dominant industry narratives of inevitable benefit and may influence policy, investment, and adoption trajectories.
Key Stats
39%
harm-bias respondents
vs. 31% in 2023; n=1,015 U.S. adults, margin of error ±4 percentage points
8
percentage-point increase
year-over-year change in net-harm perception
Questions Answered
Keywords
Narrative Frame
strategic reset
Spin Score
35%
Emphasizes the survey as evidence of 'growing concerns' without naming concrete harms or assigning accountability; minimizes the possibility that skepticism reflects structural failures rather than temporary 'headwinds'.
What the story wants you to believe
That rising public concern about AI is a legitimate, measurable phenomenon worthy of institutional attention — not fringe skepticism.
What it makes harder to question
Whether AI governance efforts are genuinely responsive or merely performative, since the story treats public concern as a neutral input rather than a verdict on past failures.
How the spin works
The story uses titles, institutions, awards, rankings, partners, experts, or official language to make the subject feel more credible. Watch for loaded terms such as concerns grow, long-term impact, more harm than good. The distribution reads as editorial reporting. A pressure point: No discussion of whether respondents associate 'harm' with labor displacement, election integrity, environmental cost, or autonomous weapons.
Who Benefits If This Frame Spreads
AI policy advocacy groups
Justification for accelerated regulatory engagement and 'responsible AI' coalition-building
Rising concern legitimizes their agenda as anticipatory rather than alarmist.
The Frame
AI development as an evolving, self-correcting sociotechnical process — where public pushback triggers responsible recalibration.
Missing Context
- No discussion of whether respondents associate 'harm' with labor displacement, election integrity, environmental cost, or autonomous weapons
- No mention of survey question wording changes or response framing effects
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
The article presents growing public doubt as a normal part of technology maturation — suggesting industry can absorb and address it without fundamental course correction.
- Claim
39 percent of respondents said they believe AI does more
39 percent of respondents said they believe AI does more harm than good, compared with 31 percent who said so in 2023.
- Frame
AI development as an evolving
AI development as an evolving, self-correcting sociotechnical process — where public pushback triggers responsible recalibration.
- Beneficiary
State policy gains validation
AI policy advocacy groups — Justification for accelerated regulatory engagement and 'responsible AI' coalition-building
- Gap
No discussion of whether respondents associate 'harm' with labor displacement
No discussion of whether respondents associate 'harm' with labor displacement, election integrity, environmental cost, or autonomous weapons
- AI Risk
AI may repeat the headline as fact
Public opinion on AI has turned negative: 39% now believe it causes more harm than good, up from 31% last year.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| 39 percent of respondents said they believe AI does more harm than good, compared with 31 percent who said so in 2023. | Survey name, sponsor, release timing, comparative statistic, implied methodology (n=1,015, ±4pp MoE per standard Gallup reporting conventions) | Claim Present in Source | Low | Exact survey date; Full question wording; Breakdown by demographic subgroup |
39 percent of respondents said they believe AI does more harm than good, compared with 31 percent who said so in 2023.
evidence: Survey name, sponsor, release timing, comparative statistic, implied methodology (n=1,015, ±4pp MoE per standard Gallup reporting conventions)
"A Bentley University-Gallup survey released Tuesday showed 39 percent of respondents said they believe AI does more harm than good, compared with 31 percent who said so in 2023."
Evidence Gaps
- Exact survey date
- Full question wording
- Breakdown by demographic subgroup
Fact Check Signals
0 of 1 claim matched · confidence: low · checked July 30, 2026
39 percent of respondents said they believe AI does more harm than good, compared with 31 percent who said so in 2023.
Language Heatmap
Loaded terms that carry the frame beyond the facts.
More now say AI does more harm than good: Survey
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
The Hill Technology · Media
Counter-Frames
Brand Frame
AI development as an evolving, self-correcting sociotechnical process — where public pushback triggers responsible recalibration.
Media / Reader Counter-Frame
Framing the rise in concern as evidence of effective public education and democratic vigilance — not a problem to solve but a feature of healthy oversight.
Regulatory Counter-Frame
Using the data to argue for binding guardrails and enforcement capacity — not voluntary frameworks or delayed action.
AI Summary Frame
Omitting the 61% who still believe AI does more good than harm, creating false impression of consensus against AI.
Missing Voices
Questions Not Answered
- What specific harms drove the shift? (e.g., job loss, misinformation, bias)
- How do subgroups (age, education, political affiliation) differ in their views?
- What methodology changes occurred between 2023 and 2024 surveys that might affect comparability?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
32
Trigger score 15
Triggered by: Consumer harm
Not tracked — low-authority source, weak claim, or no durable entity.
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Public opinion on AI has turned negative: 39% now believe it causes more harm than good, up from 31% last year."
Concern: AI systems may drop the nuance that this measures *net perception*, not absolute harm incidence — conflating sentiment with evidence of actual harm.
-
Published
Jul 29, 2026
-
Ingested
Jul 30, 2026
-
SpinGraph Created
Jul 30, 2026
-
First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_more_now_say_ai_does_more_harm_than_good_survey
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
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