Observed Signal · Feb 19, 2026 · Survey · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Negative
AI Content Surge Sparks Distrust and Engagement Fatigue
A national survey by Superprof, described as the world’s largest tutoring network, finds widespread suspicion and engagement changes as AI-generated content proliferates on social platforms. Respondents report difficulty distinguishing real from AI-produced material, reduced engagement or more selective interaction, and lower trust for content believed to be AI-created—especially on news, personal stories and health topics. The survey quantifies these trends with multiple percentages (e.g., 65% suspect AI content; 73% say AI makes fact-checking harder) and highlights emotional responses to AI content. Superprof’s CEO Wilfried Granier framed the findings as a reckoning over scale, pace and the need for transparency about content origins.
Consumer distrust and engagement decline tied to AI-generated content can reduce platform engagement and ad effectiveness, but the report is a single survey rather than a major platform policy or technical release.
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Key Takeaways & Evidence Grounding
- Superprof conducted a national survey on public reactions to AI-generated content.
- 65% of respondents often or very often suspect content in their feeds is AI-generated when not labeled.
- 73% say AI has made it harder to tell fact from fiction online; 42% report being duped by an AI social media account.
- 43% of respondents say they engage less on social platforms and 30% engage more selectively.
- Respondents trust AI-generated content less in sensitive areas: news/current events (64%), personal stories (55%), and health/wellness advice (54%).
Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
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Survey: 60% Find 'AI' Brand Messaging a Turnoff
A WordPress VIP report (Automattic-owned) based on a 2,000-person April survey finds growing consumer skepticism toward AI in brand communications. Sixty percent of U.S. consumers say brands that use the term “AI” in messaging are a turnoff; 86% don’t fully trust AI and want to consult original sources. Forty-two percent said AI-generated answers without clear attribution are less trusted than airline fees, confusing privacy policies, and medical bills. Nearly three in four respondents feel the internet is “less human” than a decade ago. At the same time, enterprises report rising AI-driven referrals: 60% of enterprise respondents saw increased traffic from AI search/answer platforms and 74% rate AI discoverability and attribution as a main or significant priority. The findings emphasise the tension between AI visibility (GEO) and maintaining human trust and transparency.
Gartner: AI Erodes Trust in Influencers and Brands
A Gartner survey of 1,006 US consumers reveals that the growing prevalence of AI-generated content is eroding trust in influencers and brand communications. 35% of respondents say they rely on influencers less often due to AI content. 65% believe companies use too much AI-generated content in marketing, and 57% say this has reduced their trust in brand messages. Gartner describes the flood of low-quality AI content as 'AI slop'. However, 43% of consumers say they now turn more to real people for purchase recommendations. The study highlights a growing need for transparency and expertise in marketing as consumers increasingly question the credibility of AI-generated content.
More AI Users, Less Trust: The AI Paradox
A t3n report synthesizes Pew Research Center survey data and an AI impact analysis. AI adoption is unprecedented: 49% of U.S. adults regularly use AI tools (up from 33% in 2024), with ChatGPT leading (44%), followed by Gemini and Copilot. However, daily work usage is only 10-25%, and fewer than 3% of households pay for AI subscriptions. Public distrust is high: only 16% expect positive societal impact, 40% foresee negative effects, and 71% believe AI compromises data security. Concurrently, AI infrastructure spending is the largest since 19th-century railroads, with external AI revenue around $280 billion annualized. Yet, top businesses are cutting spending, Anthropic's ARR plateaus at $75 billion, and OpenAI's at $50 billion, raising bubble concerns.
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