extract: 2026-01-01-koinsights-authenticity-premium-ai-rejection
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@ -33,6 +33,12 @@ The emergence of 'human-made' as a premium label in 2026 provides concrete evide
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The 60%→26% collapse in consumer enthusiasm for AI-generated creator content between 2023-2025 (Billion Dollar Boy survey, July 2025, 4,000 consumers) provides the clearest longitudinal evidence that consumer acceptance is the binding constraint. This decline occurred during a period of significant AI quality improvement, definitively proving that capability advancement does not automatically translate to consumer acceptance. The emergence of 'AI slop' as mainstream consumer terminology indicates organized rejection is forming. Additionally, 32% of consumers now say AI negatively disrupts the creator economy (up from 18% in 2023), and 31% say AI in ads makes them less likely to pick a brand (CivicScience, July 2025).
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The 60%→26% collapse in consumer enthusiasm for AI-generated creator content between 2023-2025 (Billion Dollar Boy survey, July 2025, 4,000 consumers) provides the clearest longitudinal evidence that consumer acceptance is the binding constraint. This decline occurred during a period of significant AI quality improvement, definitively proving that capability advancement does not automatically translate to consumer acceptance. The emergence of 'AI slop' as mainstream consumer terminology indicates organized rejection is forming. Additionally, 32% of consumers now say AI negatively disrupts the creator economy (up from 18% in 2023), and 31% say AI in ads makes them less likely to pick a brand (CivicScience, July 2025).
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### Additional Evidence (extend)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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The binding constraint is specifically a moral disgust response in emotionally meaningful contexts, not just general acceptance issues. Journal of Business Research found that AI authorship triggers moral disgust even when content is identical to human-written versions. This suggests the gate is values-based rejection, not quality assessment.
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Relevant Notes:
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Relevant Notes:
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@ -29,6 +29,12 @@ The timing is significant: this acceptance collapse occurred while major brands
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## Challenges
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## Challenges
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The data is specific to creator content and may not generalize to all entertainment formats. Interactive AI experiences or AI-assisted (rather than AI-generated) content may face different acceptance dynamics. The surveys capture stated preferences, which may differ from revealed preferences in actual consumption behavior. The source material does not provide independent verification of the 60%→26% figure beyond eMarketer's citation of Billion Dollar Boy.
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The data is specific to creator content and may not generalize to all entertainment formats. Interactive AI experiences or AI-assisted (rather than AI-generated) content may face different acceptance dynamics. The surveys capture stated preferences, which may differ from revealed preferences in actual consumption behavior. The source material does not provide independent verification of the 60%→26% figure beyond eMarketer's citation of Billion Dollar Boy.
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### Additional Evidence (confirm)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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Deloitte 2024 Connected Consumer Survey found nearly 70% of respondents are concerned AI-generated content will be used to deceive them. Approximately half of consumers now believe they can recognize AI-written content, with many disengaging when brands appear to rely heavily on it in emotionally meaningful contexts.
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Relevant Notes:
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@ -27,6 +27,12 @@ The creative-versus-functional distinction also explains why the 60%→26% colla
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## Implications
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## Implications
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This use-case divergence suggests that entertainment companies should pursue AI adoption asymmetrically: aggressive investment in backend production efficiency and infrastructure, but cautious deployment in consumer-facing creative applications where the "AI-made" signal itself may damage value. The strategy is to use AI where consumers don't see it, not where they do.
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This use-case divergence suggests that entertainment companies should pursue AI adoption asymmetrically: aggressive investment in backend production efficiency and infrastructure, but cautious deployment in consumer-facing creative applications where the "AI-made" signal itself may damage value. The strategy is to use AI where consumers don't see it, not where they do.
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### Additional Evidence (extend)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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The divergence is strongest in contexts with high emotional stakes, cultural significance, visible human craft, and trust requirements. The McDonald's Christmas ad case demonstrates that even high-production-value AI content (10 people, 5 weeks) faces rejection in emotionally meaningful contexts.
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Relevant Notes:
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@ -44,6 +44,12 @@ This represents a scarcity inversion: as AI-generated content becomes abundant a
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The 60%→26% enthusiasm collapse for AI-generated creator content (2023-2025) while AI quality improved demonstrates that the 'human-made' signal is becoming more valuable precisely as AI capability increases. The Goldman Sachs finding that 54% of Gen Z reject AI in creative work (versus 13% in shopping) shows consumers are willing to pay the premium specifically in domains where authenticity and human creativity are core to the value proposition. The mainstream adoption of 'AI slop' as consumer terminology indicates the market is actively creating language to distinguish and devalue AI-generated content, which is the precursor to premium human-made positioning.
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The 60%→26% enthusiasm collapse for AI-generated creator content (2023-2025) while AI quality improved demonstrates that the 'human-made' signal is becoming more valuable precisely as AI capability increases. The Goldman Sachs finding that 54% of Gen Z reject AI in creative work (versus 13% in shopping) shows consumers are willing to pay the premium specifically in domains where authenticity and human creativity are core to the value proposition. The mainstream adoption of 'AI slop' as consumer terminology indicates the market is actively creating language to distinguish and devalue AI-generated content, which is the precursor to premium human-made positioning.
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### Additional Evidence (confirm)
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*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
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The 'authenticity premium' is now measurable across multiple studies. Nuremberg Institute (2025) found that simply labeling an ad as AI-generated lowers ad attitudes and willingness to purchase, creating a quantifiable trust penalty for AI authorship.
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Relevant Notes:
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Relevant Notes:
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@ -0,0 +1,27 @@
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{
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"rejected_claims": [
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{
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"filename": "ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md",
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"issues": [
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"no_frontmatter"
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]
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}
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],
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"validation_stats": {
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"total": 1,
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"kept": 0,
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"fixed": 4,
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"rejected": 1,
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"fixes_applied": [
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"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:set_created:2026-03-16",
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"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:consumer-acceptance-of-ai-creative-content-declining-despite",
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"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:consumer-ai-acceptance-diverges-by-use-case-with-creative-wo",
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"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:stripped_wiki_link:GenAI adoption in entertainment will be gated by consumer ac"
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],
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"rejections": [
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"ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:no_frontmatter"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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"date": "2026-03-16"
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}
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@ -7,9 +7,13 @@ date: 2026-01-01
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domain: entertainment
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domain: entertainment
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secondary_domains: [cultural-dynamics]
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secondary_domains: [cultural-dynamics]
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format: report
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format: report
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status: unprocessed
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status: enrichment
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priority: high
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priority: high
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tags: [authenticity-premium, consumer-rejection, AI-content, trust-penalty, epistemic-anxiety]
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tags: [authenticity-premium, consumer-rejection, AI-content, trust-penalty, epistemic-anxiety]
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processed_by: clay
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processed_date: 2026-03-16
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enrichments_applied: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md", "consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md", "consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md", "human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant.md"]
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extraction_model: "anthropic/claude-sonnet-4.5"
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## Content
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## Content
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@ -40,3 +44,9 @@ O'Neill identifies contexts where authenticity premiums emerge most strongly: hi
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PRIMARY CONNECTION: [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]
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PRIMARY CONNECTION: [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]
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WHY ARCHIVED: Provides mechanism update for existing binding constraint claim — rejection is epistemic/moral, not aesthetic
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WHY ARCHIVED: Provides mechanism update for existing binding constraint claim — rejection is epistemic/moral, not aesthetic
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EXTRACTION HINT: Focus on the VALUES-BASED dimension of rejection and the "moral disgust" finding. This is a different mechanism than "consumers can't tell the difference."
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EXTRACTION HINT: Focus on the VALUES-BASED dimension of rejection and the "moral disgust" finding. This is a different mechanism than "consumers can't tell the difference."
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## Key Facts
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- Deloitte 2024 Connected Consumer Survey found nearly 70% of respondents are concerned AI-generated content will be used to deceive them
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- Approximately half of consumers believe they can recognize AI-written content
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- McDonald's Netherlands Christmas ad production involved 10 people working full-time for five weeks before being pulled due to backlash
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