[
  {
    "metric_name": "customer_support_productivity",
    "organization": "QJE field study",
    "function": "Customer support",
    "automation_type": "Generative AI assistant",
    "value": "15",
    "unit": "percent productivity gain",
    "year": "2025",
    "geography": "United States",
    "definition": "Average increase in issues resolved per hour",
    "source_url": "https://academic.oup.com/qje/article/140/2/889/7948117",
    "publisher": "Quarterly Journal of Economics",
    "publish_date": "2025-02-04",
    "accessed_date": "2026-04-22",
    "notes": "Peer-reviewed field evidence",
    "confidence": "High"
  },
  {
    "metric_name": "novice_support_gain",
    "organization": "QJE field study",
    "function": "Customer support",
    "automation_type": "Generative AI assistant",
    "value": "30",
    "unit": "percent productivity gain",
    "year": "2025",
    "geography": "United States",
    "definition": "Larger gains for less-skilled and novice agents",
    "source_url": "https://academic.oup.com/qje/article/140/2/889/7948117",
    "publisher": "Quarterly Journal of Economics",
    "publish_date": "2025-02-04",
    "accessed_date": "2026-04-22",
    "notes": "Approximate reported subgroup gain",
    "confidence": "High"
  },
  {
    "metric_name": "writing_completion_time",
    "organization": "Noy and Zhang",
    "function": "Professional writing",
    "automation_type": "Generative AI assistant",
    "value": "40",
    "unit": "percent faster",
    "year": "2023",
    "geography": "United States",
    "definition": "Controlled professional writing experiment completion-time reduction",
    "source_url": "https://www.science.org/doi/10.1126/science.adh2586",
    "publisher": "Science",
    "publish_date": "2023-07",
    "accessed_date": "2026-04-22",
    "notes": "Academic experimental evidence",
    "confidence": "High"
  },
  {
    "metric_name": "writing_quality",
    "organization": "Noy and Zhang",
    "function": "Professional writing",
    "automation_type": "Generative AI assistant",
    "value": "18",
    "unit": "percent quality gain",
    "year": "2023",
    "geography": "United States",
    "definition": "Output quality improvement in professional writing experiment",
    "source_url": "https://www.science.org/doi/10.1126/science.adh2586",
    "publisher": "Science",
    "publish_date": "2023-07",
    "accessed_date": "2026-04-22",
    "notes": "Academic experimental evidence",
    "confidence": "High"
  },
  {
    "metric_name": "coding_task_speed",
    "organization": "GitHub Copilot experiment",
    "function": "Software development",
    "automation_type": "Coding assistant",
    "value": "55.8",
    "unit": "percent faster",
    "year": "2023",
    "geography": "Global",
    "definition": "Controlled coding task completion-speed improvement",
    "source_url": "https://arxiv.org/abs/2302.06590",
    "publisher": "arXiv",
    "publish_date": "2023-02-13",
    "accessed_date": "2026-04-22",
    "notes": "Controlled experiment",
    "confidence": "High"
  },
  {
    "metric_name": "developer_completed_tasks",
    "organization": "Three field experiments",
    "function": "Software development",
    "automation_type": "AI coding tools",
    "value": "26.08",
    "unit": "percent more completed tasks",
    "year": "2024",
    "geography": "Global",
    "definition": "Completed-task increase across 4867 developers",
    "source_url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4945566",
    "publisher": "SSRN",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Field experiment evidence",
    "confidence": "High"
  },
  {
    "metric_name": "klarna_conversations",
    "organization": "Klarna",
    "function": "Customer service",
    "automation_type": "GenAI assistant",
    "value": "2300000",
    "unit": "conversations first month",
    "year": "2024",
    "geography": "Sweden / Global",
    "definition": "AI assistant handled conversations in first month",
    "source_url": "https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/",
    "publisher": "Klarna",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Company press disclosure",
    "confidence": "Medium"
  },
  {
    "metric_name": "klarna_fte_equivalent",
    "organization": "Klarna",
    "function": "Customer service",
    "automation_type": "GenAI assistant",
    "value": "700",
    "unit": "FTE equivalent",
    "year": "2024",
    "geography": "Sweden / Global",
    "definition": "Reported labor equivalent of AI assistant workload",
    "source_url": "https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/",
    "publisher": "Klarna",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Company press disclosure",
    "confidence": "Medium"
  },
  {
    "metric_name": "klarna_resolution_time",
    "organization": "Klarna",
    "function": "Customer service",
    "automation_type": "GenAI assistant",
    "value": "2",
    "unit": "minutes",
    "year": "2024",
    "geography": "Sweden / Global",
    "definition": "Resolution time after AI assistant compared with 11 minutes previously",
    "source_url": "https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/",
    "publisher": "Klarna",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Company press disclosure",
    "confidence": "Medium"
  },
  {
    "metric_name": "servicenow_hours_saved",
    "organization": "ServiceNow",
    "function": "HR shared services",
    "automation_type": "AI agents and virtual agent",
    "value": "410000",
    "unit": "annual hours saved",
    "year": "not_stated",
    "geography": "United States",
    "definition": "Annual hours saved through internal HR employee experience automation",
    "source_url": "https://www.servicenow.com/blogs/2024/now-on-now-hr-employee-experience-ai",
    "publisher": "ServiceNow",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Internal operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "servicenow_cost_avoidance",
    "organization": "ServiceNow",
    "function": "HR shared services",
    "automation_type": "AI platform",
    "value": "17700000",
    "unit": "USD annual cost avoidance",
    "year": "not_stated",
    "geography": "United States",
    "definition": "Annual cost avoidance from HR self-service and automation",
    "source_url": "https://www.servicenow.com/blogs/2024/now-on-now-hr-employee-experience-ai",
    "publisher": "ServiceNow",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Internal operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "ibm_askhr_cost_reduction",
    "organization": "IBM AskHR",
    "function": "HR operations",
    "automation_type": "GenAI and agentic automation",
    "value": "40",
    "unit": "percent cost reduction",
    "year": "2025",
    "geography": "Global",
    "definition": "Reduction in HR operational costs over four years",
    "source_url": "https://www.ibm.com/case-studies/ibm-askhr",
    "publisher": "IBM",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Company operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "ibm_askhr_containment",
    "organization": "IBM AskHR",
    "function": "HR operations",
    "automation_type": "GenAI and agentic automation",
    "value": "94",
    "unit": "percent containment",
    "year": "2025",
    "geography": "Global",
    "definition": "Reported AskHR containment rate",
    "source_url": "https://www.ibm.com/case-studies/ibm-askhr",
    "publisher": "IBM",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Company operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "ibm_finance_cycle_time",
    "organization": "IBM Finance",
    "function": "Finance close",
    "automation_type": "AI finance automation",
    "value": "90",
    "unit": "percent cycle-time reduction",
    "year": "2025",
    "geography": "Global",
    "definition": "Estimated cycle-time reduction in journal-entry automation",
    "source_url": "https://www.ibm.com/case-studies/ibm-finance",
    "publisher": "IBM",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Estimated greater-than value in source",
    "confidence": "Medium"
  },
  {
    "metric_name": "ibm_finance_savings",
    "organization": "IBM Finance",
    "function": "Finance close",
    "automation_type": "AI finance automation",
    "value": "600000",
    "unit": "USD annual savings",
    "year": "2025",
    "geography": "Global",
    "definition": "Estimated annual savings from finance automation",
    "source_url": "https://www.ibm.com/case-studies/ibm-finance",
    "publisher": "IBM",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Estimated savings",
    "confidence": "Medium"
  },
  {
    "metric_name": "salesforce_hours_saved",
    "organization": "Salesforce",
    "function": "Enterprise internal operations",
    "automation_type": "AI app in Slack",
    "value": "50000",
    "unit": "hours in one quarter",
    "year": "2024",
    "geography": "United States",
    "definition": "Customer Zero internal productivity case",
    "source_url": "https://www.salesforce.com/news/stories/customer-zero-ai-slack/",
    "publisher": "Salesforce",
    "publish_date": "2024-05-23",
    "accessed_date": "2026-04-22",
    "notes": "Internal operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "salesforce_agentforce_resolution",
    "organization": "Salesforce",
    "function": "Customer support",
    "automation_type": "Agentic AI",
    "value": "84",
    "unit": "percent resolution",
    "year": "2025",
    "geography": "United States",
    "definition": "Customer questions resolved after 500000 conversations",
    "source_url": "https://www.salesforce.com/news/stories/agentforce-customer-conversations/",
    "publisher": "Salesforce",
    "publish_date": "2025-04-22",
    "accessed_date": "2026-04-22",
    "notes": "Internal operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "lumen_seller_time",
    "organization": "Lumen",
    "function": "Sales",
    "automation_type": "Copilot",
    "value": "4",
    "unit": "hours per seller per week",
    "year": "2024",
    "geography": "United States",
    "definition": "Worker time saved per seller per week",
    "source_url": "https://customers.microsoft.com/story/1775755421625968630-lumen-telecommunications-azure-openai-service",
    "publisher": "Lumen / Microsoft",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "lumen_savings",
    "organization": "Lumen",
    "function": "Sales",
    "automation_type": "Copilot",
    "value": "50000000",
    "unit": "USD annually",
    "year": "2024",
    "geography": "United States",
    "definition": "Annualized savings estimate",
    "source_url": "https://customers.microsoft.com/story/1775755421625968630-lumen-telecommunications-azure-openai-service",
    "publisher": "Lumen / Microsoft",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Annualized vendor-published claim",
    "confidence": "Medium"
  },
  {
    "metric_name": "cineplex_hours",
    "organization": "Cineplex",
    "function": "Refund handling",
    "automation_type": "Copilot Studio and Power Platform",
    "value": "30000",
    "unit": "annual hours saved",
    "year": "2024",
    "geography": "Canada",
    "definition": "Annual hours saved in refund handling",
    "source_url": "https://www.microsoft.com/en/customers/story/1804959959419837677-cineplex-power-platform",
    "publisher": "Microsoft",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "grant_thornton_hours",
    "organization": "Grant Thornton Australia",
    "function": "Knowledge work",
    "automation_type": "Microsoft 365 Copilot",
    "value": "3.45",
    "unit": "hours per worker per week",
    "year": "2024",
    "geography": "Australia",
    "definition": "Average weekly time savings per licensed user by Nov 2024",
    "source_url": "https://www.microsoft.com/en/customers/story/1794149518314509688-grant-thornton-australia-microsoft-365-copilot",
    "publisher": "Microsoft",
    "publish_date": "2024",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "dentsu_insight_time",
    "organization": "Dentsu",
    "function": "Analytics and planning",
    "automation_type": "Azure OpenAI copilot",
    "value": "90",
    "unit": "percent lower time",
    "year": "2025",
    "geography": "Global",
    "definition": "Lower time to media insights and lower analysis costs",
    "source_url": "https://blogs.microsoft.com/blog/2025/01/28/the-value-of-ai-how-microsofts-customers-and-partners-are-creating-differentiated-ai-solutions-to-reinvent-how-they-do-business-today/",
    "publisher": "Microsoft",
    "publish_date": "2025-01-28",
    "accessed_date": "2026-04-22",
    "notes": "Vendor summary",
    "confidence": "Medium"
  },
  {
    "metric_name": "telus_hours",
    "organization": "TELUS",
    "function": "Enterprise-wide",
    "automation_type": "GenAI platform",
    "value": "500000",
    "unit": "hours saved",
    "year": "not_stated",
    "geography": "Canada",
    "definition": "Enterprise hours saved through internal AI platform",
    "source_url": "https://cloud.google.com/customers/telus",
    "publisher": "Google Cloud",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "telus_benefits",
    "organization": "TELUS",
    "function": "Enterprise-wide",
    "automation_type": "GenAI platform",
    "value": "90000000",
    "unit": "USD benefits to date",
    "year": "not_stated",
    "geography": "Canada",
    "definition": "Benefits to date from AI platform",
    "source_url": "https://cloud.google.com/customers/telus",
    "publisher": "Google Cloud",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "kraft_heinz_content_speed",
    "organization": "Kraft Heinz",
    "function": "Marketing content",
    "automation_type": "Generative AI",
    "value": "8",
    "unit": "hours vs 8 weeks",
    "year": "not_stated",
    "geography": "United States",
    "definition": "New-product content development cycle compressed",
    "source_url": "https://cloud.google.com/customers/kraft-heinz",
    "publisher": "Google Cloud",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "pfizer_search_hours",
    "organization": "Pfizer",
    "function": "Life sciences search",
    "automation_type": "Generative AI",
    "value": "16000",
    "unit": "annual hours saved",
    "year": "2025",
    "geography": "United States",
    "definition": "Search time saved annually in PACT initiative",
    "source_url": "https://aws.amazon.com/solutions/case-studies/pfizer-generative-ai/",
    "publisher": "AWS",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "pfizer_infra_cost",
    "organization": "Pfizer",
    "function": "Life sciences infrastructure",
    "automation_type": "Generative AI",
    "value": "55",
    "unit": "percent cost reduction",
    "year": "2025",
    "geography": "United States",
    "definition": "Infrastructure cost reduction in PACT initiative",
    "source_url": "https://aws.amazon.com/solutions/case-studies/pfizer-generative-ai/",
    "publisher": "AWS",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "tvcmall_translation",
    "organization": "TVCMALL",
    "function": "Translation and cataloging",
    "automation_type": "Generative AI",
    "value": "40",
    "unit": "percent lower translation cost",
    "year": "2025",
    "geography": "China / Global",
    "definition": "Translation cost reduction",
    "source_url": "https://aws.amazon.com/solutions/case-studies/tvcmall-generative-ai/",
    "publisher": "AWS",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published case",
    "confidence": "Medium"
  },
  {
    "metric_name": "sabre_savings",
    "organization": "Sabre",
    "function": "Travel technology",
    "automation_type": "Cloud and AI modernization",
    "value": "150000000",
    "unit": "USD annualized savings",
    "year": "not_stated",
    "geography": "United States",
    "definition": "Annualized cost savings through modernization and AI",
    "source_url": "https://cloud.google.com/customers/sabre",
    "publisher": "Google Cloud",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Annualized vendor-published claim",
    "confidence": "Low-Medium"
  },
  {
    "metric_name": "mckinsey_regular_use",
    "organization": "McKinsey",
    "function": "Enterprise adoption",
    "automation_type": "AI use",
    "value": "88",
    "unit": "percent organizations",
    "year": "2025",
    "geography": "Global",
    "definition": "Organizations regularly using AI in at least one business function",
    "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai",
    "publisher": "McKinsey",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence",
    "confidence": "Medium-High"
  },
  {
    "metric_name": "mckinsey_ebit_impact",
    "organization": "McKinsey",
    "function": "Enterprise adoption",
    "automation_type": "AI use",
    "value": "39",
    "unit": "percent report EBIT impact",
    "year": "2025",
    "geography": "Global",
    "definition": "Organizations reporting EBIT impact from AI",
    "source_url": "https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai",
    "publisher": "McKinsey",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence",
    "confidence": "Medium-High"
  },
  {
    "metric_name": "ibm_roi_met",
    "organization": "IBM CEO study",
    "function": "Enterprise adoption",
    "automation_type": "AI initiatives",
    "value": "25",
    "unit": "percent initiatives met expected ROI",
    "year": "2025",
    "geography": "Global",
    "definition": "AI initiatives meeting expected ROI according to CEO study",
    "source_url": "https://newsroom.ibm.com/2025-05-06-ibm-study-ceos-double-down-on-ai-while-navigating-enterprise-hurdles",
    "publisher": "IBM",
    "publish_date": "2025-05-06",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence",
    "confidence": "Medium-High"
  },
  {
    "metric_name": "ibm_scaled_enterprise",
    "organization": "IBM CEO study",
    "function": "Enterprise adoption",
    "automation_type": "AI initiatives",
    "value": "16",
    "unit": "percent scaled enterprise-wide",
    "year": "2025",
    "geography": "Global",
    "definition": "AI initiatives scaled enterprise-wide according to CEO study",
    "source_url": "https://newsroom.ibm.com/2025-05-06-ibm-study-ceos-double-down-on-ai-while-navigating-enterprise-hurdles",
    "publisher": "IBM",
    "publish_date": "2025-05-06",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence",
    "confidence": "Medium-High"
  },
  {
    "metric_name": "klarna_profit_improvement",
    "organization": "Klarna",
    "function": "Customer service",
    "automation_type": "GenAI assistant",
    "value": "40000000",
    "unit": "USD estimated profit improvement",
    "year": "2024",
    "geography": "Sweden / Global",
    "definition": "Estimated profit improvement from customer-service AI assistant",
    "source_url": "https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/",
    "publisher": "Klarna",
    "publish_date": "2024-02-27",
    "accessed_date": "2026-04-22",
    "notes": "Company estimate; not audited net ROI",
    "confidence": "Medium"
  },
  {
    "metric_name": "klarna_revenue_per_employee_multiple",
    "organization": "Klarna",
    "function": "Enterprise operating model",
    "automation_type": "AI-enabled productivity",
    "value": "3.6",
    "unit": "multiple revenue per employee",
    "year": "2026",
    "geography": "Global",
    "definition": "Revenue per employee increase since 2022",
    "source_url": "https://investors.klarna.com/News--Events/news/news-details/2026/Klarna-Accelerates-U-S--Growth-and-Delivers-1bn-Revenue-Driven-by-Rapid-Banking-Service-Adoption/default.aspx",
    "publisher": "Klarna Group plc",
    "publish_date": "2026-02-26",
    "accessed_date": "2026-04-22",
    "notes": "Investor disclosure; operating leverage signal",
    "confidence": "High"
  },
  {
    "metric_name": "salesforce_handoff_rate",
    "organization": "Salesforce",
    "function": "Customer support",
    "automation_type": "Agentic AI",
    "value": "4",
    "unit": "percent handoff",
    "year": "2025",
    "geography": "United States",
    "definition": "Customer conversations handed off to human support engineers after Agentforce deployment",
    "source_url": "https://www.salesforce.com/news/stories/agentforce-customer-conversations/",
    "publisher": "Salesforce",
    "publish_date": "2025-04-22",
    "accessed_date": "2026-04-22",
    "notes": "After more than 500000 conversations",
    "confidence": "Medium"
  },
  {
    "metric_name": "servicenow_hr_speedup",
    "organization": "ServiceNow",
    "function": "HR shared services",
    "automation_type": "AI search and virtual agent",
    "value": "20",
    "unit": "times faster",
    "year": "not_stated",
    "geography": "United States",
    "definition": "HR queries resolved faster through self-service AI capabilities",
    "source_url": "https://www.servicenow.com/customers/now-on-now-ai-experience.html",
    "publisher": "ServiceNow",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Internal company operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "ibm_askhr_ticket_reduction",
    "organization": "IBM AskHR",
    "function": "HR operations",
    "automation_type": "GenAI and agentic automation",
    "value": "75",
    "unit": "percent ticket reduction",
    "year": "2025",
    "geography": "Global",
    "definition": "Reduction in support tickets raised since 2016",
    "source_url": "https://www.ibm.com/case-studies/ibm-askhr",
    "publisher": "IBM",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Company operating case",
    "confidence": "Medium"
  },
  {
    "metric_name": "bcg_hbs_tasks_completed",
    "organization": "BCG / HBS field experiment",
    "function": "Consulting knowledge work",
    "automation_type": "GPT-4 assistance",
    "value": "12.2",
    "unit": "percent more tasks completed",
    "year": "2023",
    "geography": "Global",
    "definition": "More tasks completed on suitable consulting tasks with AI",
    "source_url": "https://www.hbs.edu/faculty/Pages/item.aspx?num=64700",
    "publisher": "Harvard Business School",
    "publish_date": "2023",
    "accessed_date": "2026-04-22",
    "notes": "Jagged frontier evidence; gains depend on task fit",
    "confidence": "High"
  },
  {
    "metric_name": "bcg_hbs_speed_gain",
    "organization": "BCG / HBS field experiment",
    "function": "Consulting knowledge work",
    "automation_type": "GPT-4 assistance",
    "value": "25.1",
    "unit": "percent faster",
    "year": "2023",
    "geography": "Global",
    "definition": "Faster completion time on suitable consulting tasks with AI",
    "source_url": "https://www.hbs.edu/faculty/Pages/item.aspx?num=64700",
    "publisher": "Harvard Business School",
    "publish_date": "2023",
    "accessed_date": "2026-04-22",
    "notes": "Jagged frontier evidence; gains depend on task fit",
    "confidence": "High"
  },
  {
    "metric_name": "bcg_hbs_outside_frontier_error",
    "organization": "BCG / HBS field experiment",
    "function": "Consulting knowledge work",
    "automation_type": "GPT-4 assistance",
    "value": "19",
    "unit": "percentage points lower correctness",
    "year": "2023",
    "geography": "Global",
    "definition": "Lower likelihood of producing the right answer on tasks outside AI competence frontier",
    "source_url": "https://www.hbs.edu/faculty/Pages/item.aspx?num=64700",
    "publisher": "Harvard Business School",
    "publish_date": "2023",
    "accessed_date": "2026-04-22",
    "notes": "Important downside-risk and governance benchmark",
    "confidence": "High"
  },
  {
    "metric_name": "openai_worker_time_saved_low",
    "organization": "OpenAI enterprise-worker survey",
    "function": "Cross-functional",
    "automation_type": "Enterprise AI",
    "value": "40",
    "unit": "minutes per day",
    "year": "2025",
    "geography": "Global",
    "definition": "Low end of worker-reported daily time saved from AI use at work",
    "source_url": "https://openai.com/index/the-state-of-enterprise-ai-2025-report/",
    "publisher": "OpenAI",
    "publish_date": "2025-12-08",
    "accessed_date": "2026-04-22",
    "notes": "Vendor survey and usage-data report",
    "confidence": "Medium"
  },
  {
    "metric_name": "openai_worker_time_saved_high",
    "organization": "OpenAI enterprise-worker survey",
    "function": "Cross-functional",
    "automation_type": "Enterprise AI",
    "value": "60",
    "unit": "minutes per day",
    "year": "2025",
    "geography": "Global",
    "definition": "High end of worker-reported daily time saved from AI use at work",
    "source_url": "https://openai.com/index/the-state-of-enterprise-ai-2025-report/",
    "publisher": "OpenAI",
    "publish_date": "2025-12-08",
    "accessed_date": "2026-04-22",
    "notes": "Vendor survey and usage-data report",
    "confidence": "Medium"
  },
  {
    "metric_name": "wharton_positive_roi",
    "organization": "Wharton / GBK AI adoption study",
    "function": "Enterprise adoption",
    "automation_type": "GenAI programs",
    "value": "75",
    "unit": "percent firms positive ROI",
    "year": "2025",
    "geography": "Global",
    "definition": "Approximate share of firms reporting positive ROI",
    "source_url": "https://ai.wharton.upenn.edu/",
    "publisher": "Wharton AI",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence; unit of analysis differs from EBIT impact",
    "confidence": "Medium"
  },
  {
    "metric_name": "wharton_formal_roi_measurement",
    "organization": "Wharton / GBK AI adoption study",
    "function": "Enterprise adoption",
    "automation_type": "GenAI programs",
    "value": "72",
    "unit": "percent formally measuring ROI",
    "year": "2025",
    "geography": "Global",
    "definition": "Share of organizations formally measuring ROI",
    "source_url": "https://ai.wharton.upenn.edu/",
    "publisher": "Wharton AI",
    "publish_date": "2025",
    "accessed_date": "2026-04-22",
    "notes": "Survey evidence; useful for measurement maturity context",
    "confidence": "Medium"
  },
  {
    "metric_name": "sabre_ancillary_revenue_lift",
    "organization": "Sabre",
    "function": "Travel operations",
    "automation_type": "GenAI and agentic AI",
    "value": "10",
    "unit": "percent ancillary revenue lift",
    "year": "not_stated",
    "geography": "Global",
    "definition": "Reported potential ancillary revenue increase",
    "source_url": "https://cloud.google.com/customers/sabre",
    "publisher": "Google Cloud",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published commercial uplift claim",
    "confidence": "Medium"
  },
  {
    "metric_name": "forethought_cloud_cost_reduction",
    "organization": "Forethought",
    "function": "Customer-service AI infrastructure",
    "automation_type": "SageMaker inference",
    "value": "80",
    "unit": "percent cloud cost reduction",
    "year": "not_stated",
    "geography": "United States",
    "definition": "Reduction in related cloud costs using serverless inference",
    "source_url": "https://aws.amazon.com/solutions/case-studies/forethought-technologies-case-study/",
    "publisher": "AWS",
    "publish_date": "not_stated",
    "accessed_date": "2026-04-22",
    "notes": "Vendor-published infrastructure cost case",
    "confidence": "Medium"
  }
]