domains/entertainment/GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md

@@ -29,10 +29,16 @@ The emergence of 'human-made' as a premium label in 2026 provides concrete evide
 
 
 ### Additional Evidence (confirm)
-*Source: [[2025-07-01-emarketer-consumers-rejecting-ai-creator-content]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+*Source: 2025-07-01-emarketer-consumers-rejecting-ai-creator-content | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
 
 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).
 
+
+### Additional Evidence (extend)
+*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
+
+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.
+
 ---
 
 Relevant Notes:

domains/entertainment/consumer-acceptance-of-ai-creative-content-declining-despite-quality-improvements-because-authenticity-signal-becomes-more-valuable.md

@@ -29,6 +29,12 @@ The timing is significant: this acceptance collapse occurred while major brands
 ## Challenges
 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.
 
+
+### Additional Evidence (confirm)
+*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
+
+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.
+
 ---
 
 Relevant Notes:

domains/entertainment/consumer-ai-acceptance-diverges-by-use-case-with-creative-work-facing-4x-higher-rejection-than-functional-applications.md

@@ -27,6 +27,12 @@ The creative-versus-functional distinction also explains why the 60%→26% colla
 ## Implications
 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.
 
+
+### Additional Evidence (extend)
+*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
+
+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.
+
 ---
 
 Relevant Notes:

domains/entertainment/human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant.md

@@ -40,10 +40,16 @@ This represents a scarcity inversion: as AI-generated content becomes abundant a
 
 
 ### Additional Evidence (confirm)
-*Source: [[2025-07-01-emarketer-consumers-rejecting-ai-creator-content]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+*Source: 2025-07-01-emarketer-consumers-rejecting-ai-creator-content | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
 
 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.
 
+
+### Additional Evidence (confirm)
+*Source: [[2026-01-01-koinsights-authenticity-premium-ai-rejection]] | Added: 2026-03-16*
+
+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.
+
 ---
 
 Relevant Notes:

domains/entertainment/media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md

@@ -23,6 +23,12 @@ The two-moat framework has cross-domain implications. In healthcare, distributio
 
 Swift's strategy confirms the two-phase disruption model. Phase 1 (distribution): Direct AMC theater deal and streaming control bypass traditional film and music distributors. Phase 2 (creation): Re-recordings demonstrate creator control over production and IP ownership, not just distribution access. The $4.1B tour revenue (7x recorded music revenue) shows distribution disruption is further advanced than creation disruption—live performance and direct distribution capture more value than recorded music creation. This supports the claim that distribution moats fall first (Swift captured studio margins through direct exhibition), while creation moats remain partially intact (she still relies on compositions written during label era).
 
+
+### Additional Evidence (extend)
+*Source: [[2026-01-01-mckinsey-ai-film-tv-production-future]] | Added: 2026-03-16*
+
+McKinsey's finding that distributors capture most value from AI production efficiency adds a third phase insight: even as creation costs fall (phase 2), value doesn't automatically flow to creators—it flows to whoever controls distribution. This suggests the two-phase model needs refinement: phase 2 (creation moat collapse) benefits creators only if phase 1 (distribution alternatives) has already occurred.
+
 ---
 
 Relevant Notes:

domains/entertainment/non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md

@@ -23,6 +23,12 @@ If non-ATL costs fall to thousands or millions rather than hundreds of millions,
 
 A concrete early signal: a 9-person team reportedly produced an animated film for ~$700K. The trajectory is from $200M to potentially $1M or less for competitive content, with the timeline gated by consumer acceptance rather than technology capability.
 
+
+### Additional Evidence (confirm)
+*Source: [[2026-01-01-mckinsey-ai-film-tv-production-future]] | Added: 2026-03-16*
+
+McKinsey projects $10B of US original content spend (approximately 20% of total) will be addressable by AI by 2030, with single-digit productivity improvements already visible in some use cases. However, AI-generated output is not yet at quality level to drive meaningful disruption in premium production.
+
 ---
 
 Relevant Notes:

entities/internet-finance/mycorealms.md

@@ -37,6 +37,7 @@ The team includes crypticmeta (Solana/Bitcoin developer, previously built Ordina
 - **2026-03-03** — Futardio fundraise launched: $200K target, 24-hour window, raised $158,067 before refunding
 - **2026-03-04** — Fundraise closed in refunding status (did not reach $200K minimum)
 
+- **2026-01-01** — Launched $125,000 USDC raise on Futardio with 72-hour window. Token supply: 15.9M max (10M ICO, 2.9M liquidity, 3M team). Monthly allowance: $10,000. First CAPEX proposal: $50K for 3 growing rooms, accommodation, DG set. Team: crypticmeta (Solana/Bitcoin dev, OrdinalNovus $30M volume) + Ram (5+ years mushroom production). Performance-based team vesting: 5 tranches at 2x/4x/8x/16x/32x ICO price via 3-month TWAP, 18-month minimum cliff. All operations published to Arweave for transparency.
 ## Governance Structure
 
 Treasury control enforced through:

inbox/archive/.extraction-debug/2026-01-01-koinsights-authenticity-premium-ai-rejection.json

@@ -0,0 +1,27 @@
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+        "no_frontmatter"
+      ]
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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",
+      "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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+      "ai-authorship-creates-moral-disgust-response-in-emotionally-meaningful-contexts-regardless-of-content-quality.md:no_frontmatter"
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+}

inbox/archive/.extraction-debug/2026-01-01-mckinsey-ai-film-tv-production-future.json

@@ -0,0 +1,40 @@
+{
+  "rejected_claims": [
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+      "filename": "historical-entertainment-technology-transitions-produce-35-percent-revenue-contraction-for-incumbents-within-five-years.md",
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+        "missing_attribution_extractor"
+      ]
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+    {
+      "filename": "ai-production-efficiency-gains-accrue-primarily-to-distributors-not-producers-because-of-structural-market-dynamics.md",
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+      "filename": "fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
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+      "fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md:set_created:2026-03-16"
+    ],
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+      "historical-entertainment-technology-transitions-produce-35-percent-revenue-contraction-for-incumbents-within-five-years.md:missing_attribution_extractor",
+      "ai-production-efficiency-gains-accrue-primarily-to-distributors-not-producers-because-of-structural-market-dynamics.md:missing_attribution_extractor",
+      "fix-it-in-pre-workflow-shift-reallocates-value-from-post-production-to-pre-production-and-distributors.md:missing_attribution_extractor"
+    ]
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+}

inbox/archive/2026-01-01-koinsights-authenticity-premium-ai-rejection.md

@@ -7,9 +7,13 @@ date: 2026-01-01
 domain: entertainment
 secondary_domains: [cultural-dynamics]
 format: report
-status: unprocessed
+status: enrichment
 priority: high
 tags: [authenticity-premium, consumer-rejection, AI-content, trust-penalty, epistemic-anxiety]
+processed_by: clay
+processed_date: 2026-03-16
+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"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -40,3 +44,9 @@ O'Neill identifies contexts where authenticity premiums emerge most strongly: hi
 PRIMARY CONNECTION: [[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]
 WHY ARCHIVED: Provides mechanism update for existing binding constraint claim — rejection is epistemic/moral, not aesthetic
 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."
+
+
+## Key Facts
+- 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 believe they can recognize AI-written content
+- McDonald's Netherlands Christmas ad production involved 10 people working full-time for five weeks before being pulled due to backlash

inbox/archive/2026-01-01-mckinsey-ai-film-tv-production-future.md

@@ -7,9 +7,13 @@ date: 2026-01-01
 domain: entertainment
 secondary_domains: [teleological-economics]
 format: report
-status: unprocessed
+status: enrichment
 priority: high
 tags: [AI-production, value-redistribution, cost-collapse, disruption-economics, film-industry]
+processed_by: clay
+processed_date: 2026-03-16
+enrichments_applied: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md", "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -52,3 +56,11 @@ Three major technology shifts each resulted in ~35% revenue contraction for incu
 PRIMARY CONNECTION: [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]]
 WHY ARCHIVED: Authoritative financial projections ($60B redistribution, 35% contraction pattern) and the COUNTER-FINDING that distributors, not producers, capture most AI value
 EXTRACTION HINT: The distributor value capture finding is the most important — it complicates the "AI democratizes creation" narrative. Also: the 35% contraction pattern is a strong historical regularity worth claiming.
+
+
+## Key Facts
+- $60B annual revenue redistribution projected within five years of mass AI adoption in entertainment
+- $13.2B projected decline in US TV/film distribution revenues if open platforms capture additional 5% of viewing hours
+- $7.5B partial offset from increased open-platform revenues in same scenario
+- B5 Studios' Sean Bailey quoted: 'every single piece' of workflow from ideation to distribution will be significantly disrupted
+- McKinsey interviewed 20+ studio executives, producers, AI innovators, and academics for the report