{
  "title": "AI Marketing Statistics Source Ledger",
  "curator": "Markethink",
  "last_substantively_reviewed": "2026-09-12",
  "methodology": "Markethink curated only claims that were visible in an original report, official dataset, or original survey page that loaded during review. Each row preserves scope, sample context, evidence type, and a limitation. Self-reported outcomes are not causal evidence. Values from unlike questions are not treated as directly comparable.",
  "source_count": 9,
  "statistic_count": 60,
  "sources": {
    "S1": {
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "title": "The Microstructure of AI Diffusion: Evidence from Firms, Business Functions, and Worker Tasks",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper",
      "limitation": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments."
    },
    "S2": {
      "publisher": "OECD",
      "title": "AI use by individuals surges across the OECD as adoption by firms continues to expand",
      "publication_date": "2026-01-28",
      "research_period": "2025",
      "geography": "OECD countries where data were available",
      "sample_size": "National business ICT surveys compiled in the OECD ICT Access and Usage Database; n varies by country",
      "source_url": "https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html",
      "source_type": "Official intergovernmental statistics",
      "limitation": "Coverage is limited to countries with available data. Definitions and business-size thresholds can vary by national source."
    },
    "S3": {
      "publisher": "NFIB Research Center",
      "title": "Small Business and Technology 2025",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey",
      "limitation": "The sample is drawn from NFIB members, and several AI-use findings apply only to the smaller subset of current users."
    },
    "S4": {
      "publisher": "Constant Contact",
      "title": "The Rise of the SMB Creator: Q2 2026 Small Business Now report findings",
      "publication_date": "2026-06-10",
      "research_period": "Q2 2026; US adoption figure measured by April 2026",
      "geography": "United States, United Kingdom, Canada, Australia and New Zealand",
      "sample_size": "3,340 SMB respondents and 2,255 consumer respondents",
      "source_url": "https://news.constantcontact.com/2026-06-10-The-Rise-of-the-SMB-Creator-How-Small-Businesses-are-Leveraging-Social-Media-and-AI-to-Capture-Consumer-Attention",
      "source_type": "Original vendor-commissioned SMB and consumer survey",
      "limitation": "The publisher sells marketing technology. The release uses a broad SMB marketing AI adoption measure that is not directly comparable with the NFIB business-use question."
    },
    "S5": {
      "publisher": "Content Marketing Institute and MarketingProfs",
      "title": "B2B Content and Marketing Trends: Insights for 2026",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey",
      "limitation": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American."
    },
    "S6": {
      "publisher": "Adobe and Oxford Economics",
      "title": "Adobe 2026 AI and Digital Trends Report",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey",
      "limitation": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample."
    },
    "S7": {
      "publisher": "IAB and Sonata Insights",
      "title": "The AI Ad Gap Widens",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey",
      "limitation": "The executive sample is small and limited to companies spending at least $1 million annually on media. Consumer findings cover Gen Z and Millennials only."
    },
    "S8": {
      "publisher": "McKinsey & Company, QuantumBlack",
      "title": "The state of AI in 2025: Agents, innovation, and transformation",
      "publication_date": "2025-11",
      "research_period": "June 25 to July 29, 2025",
      "geography": "105 nations",
      "sample_size": "1,993 survey participants",
      "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2025",
      "source_type": "Original global executive and practitioner survey",
      "limitation": "Results are self-reported and weighted by national GDP. Organization-wide AI use is broader than marketing use."
    },
    "S9": {
      "publisher": "HubSpot",
      "title": "2026 State of Marketing",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey",
      "limitation": "Results are self-reported, and the public page does not disclose detailed sampling or field dates. Extensive and occasional use are separate response categories."
    }
  },
  "statistics": [
    {
      "id": "AM001",
      "section": "adoption",
      "value": "18%",
      "claim": "US firms that used AI in a business function during the supplement reference period.",
      "evidence_type": "self-reported adoption",
      "context_note": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM002",
      "section": "adoption",
      "value": "32%",
      "claim": "US firm AI use on an employment-weighted basis during the same period.",
      "evidence_type": "self-reported adoption",
      "context_note": "Employment weighting answers a different question from the 18% firm-level estimate by giving more influence to larger employers.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM003",
      "section": "adoption",
      "value": "22%",
      "claim": "US firms expected to use AI in a business function within six months.",
      "evidence_type": "projection",
      "context_note": "This is a stated expectation, not observed future adoption.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM004",
      "section": "adoption",
      "value": "57%",
      "claim": "AI-using firms that integrated AI into three or fewer business functions.",
      "evidence_type": "self-reported adoption",
      "context_note": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM005",
      "section": "marketing-use-cases",
      "value": "52%",
      "claim": "AI-using firms that deployed AI in sales and marketing, the most common function reported.",
      "evidence_type": "self-reported adoption",
      "context_note": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM006",
      "section": "adoption",
      "value": "23%",
      "claim": "US firms reporting that workers used AI in work-related tasks.",
      "evidence_type": "self-reported adoption",
      "context_note": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM007",
      "section": "content-and-campaigns",
      "value": "85%",
      "claim": "Task-level AI adopters reporting generative AI use for writing and editing.",
      "evidence_type": "self-reported adoption",
      "context_note": "The base is firms reporting task-level adoption, not all firms.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM008",
      "section": "human-review",
      "value": "66%",
      "claim": "Firms experiencing AI-related task effects that used AI only to augment tasks.",
      "evidence_type": "observed operating model",
      "context_note": "Firm adoption, employment-weighted adoption, and worker task use are different measures. The survey does not isolate marketing departments.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM009",
      "section": "measured-outcomes",
      "value": "2%",
      "claim": "AI-using firms reporting AI-related employment decreases.",
      "evidence_type": "observed outcome",
      "context_note": "The report also cautions against causal interpretation of its regression evidence.",
      "publisher": "U.S. Census Bureau, Center for Economic Studies",
      "publication_date": "2026-04",
      "research_period": "November 2025 to January 2026",
      "geography": "United States",
      "sample_size": "Nationally representative Business Trends and Outlook Survey AI supplement; exact n not stated on the summary page",
      "source_url": "https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-25.html",
      "source_type": "Government statistical working paper"
    },
    {
      "id": "AM010",
      "section": "adoption",
      "value": "20.2%",
      "claim": "Firms across OECD countries with available data that reported using AI in 2025.",
      "evidence_type": "self-reported adoption",
      "context_note": "Coverage is limited to countries with available data. Definitions and business-size thresholds can vary by national source.",
      "publisher": "OECD",
      "publication_date": "2026-01-28",
      "research_period": "2025",
      "geography": "OECD countries where data were available",
      "sample_size": "National business ICT surveys compiled in the OECD ICT Access and Usage Database; n varies by country",
      "source_url": "https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html",
      "source_type": "Official intergovernmental statistics"
    },
    {
      "id": "AM011",
      "section": "small-business",
      "value": "17.4%",
      "claim": "Small firms across covered OECD countries that reported using AI in 2025.",
      "evidence_type": "self-reported adoption",
      "context_note": "Coverage is limited to countries with available data. Definitions and business-size thresholds can vary by national source.",
      "publisher": "OECD",
      "publication_date": "2026-01-28",
      "research_period": "2025",
      "geography": "OECD countries where data were available",
      "sample_size": "National business ICT surveys compiled in the OECD ICT Access and Usage Database; n varies by country",
      "source_url": "https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html",
      "source_type": "Official intergovernmental statistics"
    },
    {
      "id": "AM012",
      "section": "small-business",
      "value": "52.0%",
      "claim": "Large firms across covered OECD countries that reported using AI in 2025.",
      "evidence_type": "self-reported adoption",
      "context_note": "This is a size comparison, not evidence that firm size alone causes adoption.",
      "publisher": "OECD",
      "publication_date": "2026-01-28",
      "research_period": "2025",
      "geography": "OECD countries where data were available",
      "sample_size": "National business ICT surveys compiled in the OECD ICT Access and Usage Database; n varies by country",
      "source_url": "https://www.oecd.org/en/about/news/announcements/2026/01/ai-use-by-individuals-surges-across-the-oecd-as-adoption-by-firms-continues-to-expand.html",
      "source_type": "Official intergovernmental statistics"
    },
    {
      "id": "AM013",
      "section": "small-business",
      "value": "24%",
      "claim": "US small-business owners who said they currently use AI technologies for business activity.",
      "evidence_type": "self-reported adoption",
      "context_note": "The sample is drawn from NFIB members, and several AI-use findings apply only to the smaller subset of current users.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM014",
      "section": "small-business",
      "value": "75%",
      "claim": "Nonusers who said they did not plan to use AI for business purposes in the next 12 months.",
      "evidence_type": "stated intention",
      "context_note": "The base is respondents not currently using AI, n=385 for the table containing this question.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM015",
      "section": "small-business",
      "value": "27%",
      "claim": "Among current small-business AI users, 27% reported using or planning to use AI for marketing or advertising.",
      "evidence_type": "self-reported use or plan",
      "context_note": "The question asked current AI-using employers which areas they were using or planning to use AI. Multiple responses were allowed; n=118.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "Current AI-using employers, n=118",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf#page=15",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM016",
      "section": "content-and-campaigns",
      "value": "29%",
      "claim": "Among current small-business AI users, 29% reported using or planning to use AI for communications.",
      "evidence_type": "self-reported use or plan",
      "context_note": "The question asked current AI-using employers which areas they were using or planning to use AI. Multiple responses were allowed; n=118.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "Current AI-using employers, n=118",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf#page=15",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM017",
      "section": "measured-outcomes",
      "value": "30%",
      "claim": "Current small-business AI users reporting increased productivity.",
      "evidence_type": "self-reported outcome",
      "context_note": "The impact table has n=110 and does not establish causation.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM018",
      "section": "measured-outcomes",
      "value": "23%",
      "claim": "Current small-business AI users reporting improved product or service quality.",
      "evidence_type": "self-reported outcome",
      "context_note": "The impact table has n=110 and does not establish causation.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM019",
      "section": "measured-outcomes",
      "value": "8%",
      "claim": "Current small-business AI users reporting lower operating costs.",
      "evidence_type": "self-reported outcome",
      "context_note": "The impact table has n=110 and does not establish causation.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM020",
      "section": "human-review",
      "value": "98%",
      "claim": "Current small-business AI users reporting no change in employee count.",
      "evidence_type": "self-reported outcome",
      "context_note": "The employment table has n=119. This does not predict future workforce effects.",
      "publisher": "NFIB Research Center",
      "publication_date": "2025-06",
      "research_period": "2025; exact field dates not stated in the report text",
      "geography": "United States",
      "sample_size": "521 employer responses overall; AI-use questions use smaller bases, including n=118, n=119, and n=110",
      "source_url": "https://www.nfib.com/wp-content/uploads/2025/06/2025-NFIB-Technology-Survey.pdf",
      "source_type": "Original small-business association survey"
    },
    {
      "id": "AM021",
      "section": "small-business",
      "value": "87%",
      "claim": "US SMB respondents reported as adopting AI in marketing by April 2026, up from 26% in 2023.",
      "evidence_type": "self-reported adoption",
      "context_note": "The release does not publish the full question wording. The broad marketing adoption measure should not be compared directly with NFIB current business use.",
      "publisher": "Constant Contact",
      "publication_date": "2026-06-10",
      "research_period": "Q2 2026; US adoption figure measured by April 2026",
      "geography": "United States, United Kingdom, Canada, Australia and New Zealand",
      "sample_size": "3,340 SMB respondents and 2,255 consumer respondents",
      "source_url": "https://news.constantcontact.com/2026-06-10-The-Rise-of-the-SMB-Creator-How-Small-Businesses-are-Leveraging-Social-Media-and-AI-to-Capture-Consumer-Attention",
      "source_type": "Original vendor-commissioned SMB and consumer survey"
    },
    {
      "id": "AM022",
      "section": "measured-outcomes",
      "value": "50%",
      "claim": "SMB AI users globally naming time savings as the primary benefit.",
      "evidence_type": "self-reported outcome",
      "context_note": "The publisher sells marketing technology. The release uses a broad SMB marketing AI adoption measure that is not directly comparable with the NFIB business-use question.",
      "publisher": "Constant Contact",
      "publication_date": "2026-06-10",
      "research_period": "Q2 2026; US adoption figure measured by April 2026",
      "geography": "United States, United Kingdom, Canada, Australia and New Zealand",
      "sample_size": "3,340 SMB respondents and 2,255 consumer respondents",
      "source_url": "https://news.constantcontact.com/2026-06-10-The-Rise-of-the-SMB-Creator-How-Small-Businesses-are-Leveraging-Social-Media-and-AI-to-Capture-Consumer-Attention",
      "source_type": "Original vendor-commissioned SMB and consumer survey"
    },
    {
      "id": "AM023",
      "section": "trust-and-governance",
      "value": "46%",
      "claim": "Consumers globally who wanted businesses to explicitly label AI-generated content.",
      "evidence_type": "consumer preference",
      "context_note": "The publisher sells marketing technology. The release uses a broad SMB marketing AI adoption measure that is not directly comparable with the NFIB business-use question.",
      "publisher": "Constant Contact",
      "publication_date": "2026-06-10",
      "research_period": "Q2 2026; US adoption figure measured by April 2026",
      "geography": "United States, United Kingdom, Canada, Australia and New Zealand",
      "sample_size": "3,340 SMB respondents and 2,255 consumer respondents",
      "source_url": "https://news.constantcontact.com/2026-06-10-The-Rise-of-the-SMB-Creator-How-Small-Businesses-are-Leveraging-Social-Media-and-AI-to-Capture-Consumer-Attention",
      "source_type": "Original vendor-commissioned SMB and consumer survey"
    },
    {
      "id": "AM024",
      "section": "trust-and-governance",
      "value": "37%",
      "claim": "SMBs globally reported as fully transparent about their AI use.",
      "evidence_type": "self-reported practice",
      "context_note": "The publisher sells marketing technology. The release uses a broad SMB marketing AI adoption measure that is not directly comparable with the NFIB business-use question.",
      "publisher": "Constant Contact",
      "publication_date": "2026-06-10",
      "research_period": "Q2 2026; US adoption figure measured by April 2026",
      "geography": "United States, United Kingdom, Canada, Australia and New Zealand",
      "sample_size": "3,340 SMB respondents and 2,255 consumer respondents",
      "source_url": "https://news.constantcontact.com/2026-06-10-The-Rise-of-the-SMB-Creator-How-Small-Businesses-are-Leveraging-Social-Media-and-AI-to-Capture-Consumer-Attention",
      "source_type": "Original vendor-commissioned SMB and consumer survey"
    },
    {
      "id": "AM025",
      "section": "marketing-use-cases",
      "value": "95%",
      "claim": "B2B marketers saying their organizations use AI-powered applications.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM026",
      "section": "adoption",
      "value": "68%",
      "claim": "B2B marketers describing their organizations as exploratory or developing in AI implementation.",
      "evidence_type": "self-reported adoption",
      "context_note": "This combines the report's 20% exploratory and 48% developing categories.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM027",
      "section": "content-and-campaigns",
      "value": "89%",
      "claim": "AI-using B2B marketers using content tools to generate or optimize copy.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM028",
      "section": "content-and-campaigns",
      "value": "53%",
      "claim": "AI-using B2B marketers using tools to generate or edit creative assets.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM029",
      "section": "content-and-campaigns",
      "value": "41%",
      "claim": "AI-using B2B marketers using AI-powered SEO tools.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM030",
      "section": "content-and-campaigns",
      "value": "38%",
      "claim": "AI-using B2B marketers using AI-powered social media tools.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM031",
      "section": "crm-leads-follow-up",
      "value": "36%",
      "claim": "AI-using B2B marketers using AI-powered email marketing tools.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM032",
      "section": "measured-outcomes",
      "value": "80%",
      "claim": "B2B marketers reporting improved operational efficiency from AI.",
      "evidence_type": "self-reported outcome",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM033",
      "section": "measured-outcomes",
      "value": "58%",
      "claim": "B2B marketers reporting improved content quality from AI.",
      "evidence_type": "self-reported outcome",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM034",
      "section": "barriers-and-limits",
      "value": "12%",
      "claim": "B2B marketers reporting that content quality decreased with AI.",
      "evidence_type": "self-reported outcome",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM035",
      "section": "budgets-and-investment",
      "value": "45%",
      "claim": "B2B marketers who put AI-powered marketing tools among their top three areas for increased 2026 investment.",
      "evidence_type": "stated investment plan",
      "context_note": "Results are self-reported. The research was sponsored by a marketing technology company, and the B2B sample was mostly North American.",
      "publisher": "Content Marketing Institute and MarketingProfs",
      "publication_date": "2025-10",
      "research_period": "June 24 to August 14, 2025",
      "geography": "Global, mostly North America",
      "sample_size": "1,015 B2B marketers from 1,229 global responses",
      "source_url": "https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research",
      "source_type": "Original industry survey"
    },
    {
      "id": "AM036",
      "section": "measured-outcomes",
      "value": "70%",
      "claim": "Organizations reporting that personalization performance somewhat or significantly improved over the prior three years.",
      "evidence_type": "self-reported outcome",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM037",
      "section": "crm-leads-follow-up",
      "value": "64%",
      "claim": "Organizations reporting that lead generation performance somewhat or significantly improved over the prior three years.",
      "evidence_type": "self-reported outcome",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM038",
      "section": "measured-outcomes",
      "value": "59%",
      "claim": "Organizations reporting that customer retention performance somewhat or significantly improved over the prior three years.",
      "evidence_type": "self-reported outcome",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM039",
      "section": "adoption",
      "value": "16%",
      "claim": "Organizations that had embedded agentic AI organization-wide for customer support.",
      "evidence_type": "scaled deployment",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM040",
      "section": "adoption",
      "value": "13%",
      "claim": "Organizations that had embedded agentic AI organization-wide for brand discovery and search.",
      "evidence_type": "scaled deployment",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM041",
      "section": "trust-and-governance",
      "value": "One-third",
      "claim": "Customers who said they would disengage after discovering content was AI-generated.",
      "evidence_type": "consumer stated response",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM042",
      "section": "trust-and-governance",
      "value": "37%",
      "claim": "Customers who said they would disengage after learning they were interacting with AI when expecting a person.",
      "evidence_type": "consumer stated response",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM043",
      "section": "human-review",
      "value": "68%",
      "claim": "Organizations ranking clear disclosure of AI interactions among the most important factors for building trust in agentic AI.",
      "evidence_type": "organizational priority",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM044",
      "section": "human-review",
      "value": "61%",
      "claim": "Organizations ranking easy escalation to human support among the most important trust factors for agentic AI.",
      "evidence_type": "organizational priority",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM045",
      "section": "barriers-and-limits",
      "value": "44%",
      "claim": "Organizations with a measurement framework implemented for generative AI.",
      "evidence_type": "observed governance practice",
      "context_note": "Business results are self-reported by executives and CX practitioners at organizations with at least $250 million in revenue. Customer results are a separate sample.",
      "publisher": "Adobe and Oxford Economics",
      "publication_date": "2026; exact day not stated on the main report page",
      "research_period": "October to November 2025",
      "geography": "North America, Latin America, Europe, APAC and the Middle East",
      "sample_size": "3,000 executives and CX practitioners plus 4,000 customers",
      "source_url": "https://business.adobe.com/resources/digital-trends-report.html",
      "source_type": "Original global business and consumer survey"
    },
    {
      "id": "AM046",
      "section": "adoption",
      "value": "83%",
      "claim": "US ad executives saying their company had deployed AI in the creative process.",
      "evidence_type": "self-reported adoption",
      "context_note": "The executive sample is small and limited to companies spending at least $1 million annually on media. Consumer findings cover Gen Z and Millennials only.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM047",
      "section": "content-and-campaigns",
      "value": "85%",
      "claim": "Ad executives whose companies used AI for social-media ads.",
      "evidence_type": "self-reported adoption",
      "context_note": "The executive sample is small and limited to companies spending at least $1 million annually on media. Consumer findings cover Gen Z and Millennials only.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM048",
      "section": "content-and-campaigns",
      "value": "73%",
      "claim": "Ad executives whose companies used AI for display ads.",
      "evidence_type": "self-reported adoption",
      "context_note": "The executive sample is small and limited to companies spending at least $1 million annually on media. Consumer findings cover Gen Z and Millennials only.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM049",
      "section": "trust-and-governance",
      "value": "82% vs 45%",
      "claim": "Ad executives who believed young consumers felt positive about AI-generated ads, compared with the share of surveyed consumers who actually reported positive sentiment.",
      "evidence_type": "perception gap",
      "context_note": "This is a 37-point perception gap across two survey groups, not a causal result.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM050",
      "section": "trust-and-governance",
      "value": "39% vs 20%",
      "claim": "Gen Z consumers reporting negative sentiment toward AI-generated ads, compared with Millennials.",
      "evidence_type": "consumer sentiment",
      "context_note": "The executive sample is small and limited to companies spending at least $1 million annually on media. Consumer findings cover Gen Z and Millennials only.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM051",
      "section": "trust-and-governance",
      "value": "73%",
      "claim": "Gen Z and Millennial consumers saying AI disclosure would increase or make no difference to purchase likelihood.",
      "evidence_type": "stated purchase response",
      "context_note": "This combines two response categories and does not mean disclosure increases purchases for 73%.",
      "publisher": "IAB and Sonata Insights",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "October 2025 to January 2026",
      "geography": "United States",
      "sample_size": "505 Gen Z and Millennial consumers plus 104 ad industry executives",
      "source_url": "https://www.iab.com/insights/the-ai-gap-widens",
      "source_type": "Original advertising industry and consumer survey"
    },
    {
      "id": "AM052",
      "section": "adoption",
      "value": "88%",
      "claim": "Respondents saying their organizations regularly used AI in at least one business function.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported and weighted by national GDP. Organization-wide AI use is broader than marketing use.",
      "publisher": "McKinsey & Company, QuantumBlack",
      "publication_date": "2025-11",
      "research_period": "June 25 to July 29, 2025",
      "geography": "105 nations",
      "sample_size": "1,993 survey participants",
      "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2025",
      "source_type": "Original global executive and practitioner survey"
    },
    {
      "id": "AM053",
      "section": "adoption",
      "value": "23%",
      "claim": "Respondents saying their organizations were scaling an agentic AI system somewhere in the enterprise.",
      "evidence_type": "scaled deployment",
      "context_note": "Results are self-reported and weighted by national GDP. Organization-wide AI use is broader than marketing use.",
      "publisher": "McKinsey & Company, QuantumBlack",
      "publication_date": "2025-11",
      "research_period": "June 25 to July 29, 2025",
      "geography": "105 nations",
      "sample_size": "1,993 survey participants",
      "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2025",
      "source_type": "Original global executive and practitioner survey"
    },
    {
      "id": "AM054",
      "section": "adoption",
      "value": "39%",
      "claim": "Respondents saying their organizations had begun experimenting with AI agents.",
      "evidence_type": "experimentation",
      "context_note": "Results are self-reported and weighted by national GDP. Organization-wide AI use is broader than marketing use.",
      "publisher": "McKinsey & Company, QuantumBlack",
      "publication_date": "2025-11",
      "research_period": "June 25 to July 29, 2025",
      "geography": "105 nations",
      "sample_size": "1,993 survey participants",
      "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2025",
      "source_type": "Original global executive and practitioner survey"
    },
    {
      "id": "AM055",
      "section": "adoption",
      "value": "One-third",
      "claim": "Respondents saying their organizations were scaling AI programs across the organization.",
      "evidence_type": "scaled deployment",
      "context_note": "The report describes this as roughly one-third and shows larger companies scaling more often.",
      "publisher": "McKinsey & Company, QuantumBlack",
      "publication_date": "2025-11",
      "research_period": "June 25 to July 29, 2025",
      "geography": "105 nations",
      "sample_size": "1,993 survey participants",
      "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2025",
      "source_type": "Original global executive and practitioner survey"
    },
    {
      "id": "AM056",
      "section": "marketing-use-cases",
      "value": "86.4%",
      "claim": "Marketing teams saying they use AI in at least a few marketing areas.",
      "evidence_type": "self-reported adoption",
      "context_note": "Results are self-reported, and the public page does not disclose detailed sampling or field dates. Extensive and occasional use are separate response categories.",
      "publisher": "HubSpot",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey"
    },
    {
      "id": "AM057",
      "section": "content-and-campaigns",
      "value": "42.5% / 38%",
      "claim": "Marketers using AI extensively or occasionally for content creation, respectively.",
      "evidence_type": "self-reported adoption",
      "context_note": "The two values are separate response categories and should not be presented as a single 80.5% estimate without the full questionnaire.",
      "publisher": "HubSpot",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey"
    },
    {
      "id": "AM058",
      "section": "content-and-campaigns",
      "value": "34.1% / 36.5%",
      "claim": "Marketers using AI extensively or occasionally for advertising automation and optimization, respectively.",
      "evidence_type": "self-reported adoption",
      "context_note": "The two values are separate response categories and should not be presented as a single 70.6% estimate without the full questionnaire.",
      "publisher": "HubSpot",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey"
    },
    {
      "id": "AM059",
      "section": "human-review",
      "value": "73.4%",
      "claim": "Marketers who saw AI working with marketers and assisting with most job duties.",
      "evidence_type": "respondent opinion",
      "context_note": "Results are self-reported, and the public page does not disclose detailed sampling or field dates. Extensive and occasional use are separate response categories.",
      "publisher": "HubSpot",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey"
    },
    {
      "id": "AM060",
      "section": "human-review",
      "value": "62.7%",
      "claim": "Marketers who believed more unique, human-centered content is needed to compete with AI content.",
      "evidence_type": "respondent opinion",
      "context_note": "Results are self-reported, and the public page does not disclose detailed sampling or field dates. Extensive and occasional use are separate response categories.",
      "publisher": "HubSpot",
      "publication_date": "2026; exact day not stated on the report page",
      "research_period": "Not stated on the public report page",
      "geography": "Global",
      "sample_size": "More than 1,500 B2B and B2C marketers",
      "source_url": "https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report",
      "source_type": "Original vendor marketing survey"
    }
  ]
}