Repository Public Research preview
1{2 "original": {3 "ai_adoption": [4 "The company internally uses artificial intelligence, machine learning, generative AI, large language models, automation, predictive analytics, intelligent agents, and data-driven systems to improve productivity, operations, efficiency, decision-making, customer service, risk management, compliance, cybersecurity, supply chain, software development, finance, human resources, and other business processes.",5 "We have implemented generative AI, large language models, and natural language processing capabilities across our enterprise. Our AI strategy includes deploying intelligent automation, computer vision, and predictive analytics systems to transform operations.",6 "Investment in artificial intelligence research and development, including partnerships with AI technology providers, hiring of machine learning engineers, and deployment of AI infrastructure including GPU computing clusters for internal business applications."7 ],8 "ai_disruption_risk": [9 "Artificial intelligence may reduce the scarcity, defensibility, differentiation, pricing power, or competitive advantage of the company's products or services by enabling rapid replication, automation, synthetic generation, low-cost substitution, or commoditization of capabilities that were previously difficult, expensive, or specialized.",10 "The rapid advancement of AI technologies may render our current offerings less competitive. New market entrants leveraging AI could fundamentally alter industry dynamics, reduce barriers to entry, and erode our market position through AI-native products and services.",11 "Risks associated with artificial intelligence include potential competitive displacement by AI-powered alternatives, obsolescence of our existing products, regulatory uncertainty around AI governance, algorithmic bias, intellectual property challenges, and emergence of AI-native competitors."12 ],13 "ai_infrastructure": [14 "Investment in AI computing infrastructure including data centers, GPU and TPU clusters, cloud computing resources, semiconductor chips, accelerator hardware, and high-performance computing systems dedicated to artificial intelligence and machine learning workloads.",15 "Capital expenditures for AI infrastructure, including networking equipment for distributed AI training, specialized computing platforms for large-scale model development, edge computing for AI inference, and data pipeline infrastructure for machine learning operations.",16 "Cloud infrastructure spending for AI workloads, including partnerships with hyperscale cloud providers, deployment of AI-optimized hardware, GPU supply chain management, and investment in next-generation computing architectures for artificial intelligence applications."17 ],18 "esg_commitment": [19 "Environmental, social, and governance initiatives including sustainability reporting, corporate social responsibility programs, diversity equity and inclusion efforts, stakeholder engagement, and adherence to ESG frameworks and standards such as SASB, GRI, and TCFD.",20 "The company is committed to ESG principles including reducing carbon emissions, improving energy efficiency, promoting workforce diversity, ensuring supply chain responsibility, ethical governance practices, and transparent reporting of environmental and social performance metrics.",21 "Board-level oversight of environmental and social risk management, executive compensation tied to sustainability metrics, corporate governance improvements, and integration of ESG factors into strategic decision-making and capital allocation processes."22 ],23 "climate_risk": [24 "Climate change poses material risks to our operations including physical risks from extreme weather events, transition risks from evolving regulations, carbon pricing mechanisms, and shifting consumer preferences toward sustainable alternatives and low-carbon products.",25 "Exposure to climate-related financial risks including greenhouse gas emission regulations, carbon taxes, stranded asset risk, water scarcity, supply chain disruption from natural disasters, and reputational risk from insufficient climate action and environmental degradation.",26 "Climate risk assessment and scenario analysis aligned with TCFD recommendations, including evaluation of physical and transition risks under different warming scenarios, Scope 1, 2, and 3 greenhouse gas emissions measurement and reduction targets."27 ],28 "cybersecurity": [29 "Cybersecurity risks including data breaches, ransomware attacks, unauthorized access to systems, intellectual property theft, and operational disruption from cyber incidents. Investment in information security controls, threat detection, and incident response capabilities.",30 "Data privacy and security compliance including GDPR, CCPA, and other data protection regulations. Cybersecurity governance, risk management frameworks, security operations centers, and employee security awareness training programs to protect critical infrastructure.",31 "Critical infrastructure protection, network security, endpoint security, identity and access management, zero-trust architecture implementation, penetration testing, cyber insurance, and board-level oversight of cybersecurity risk management and AI-powered threat detection."32 ],33 "automation_labor": [34 "Automation of business processes, robotic process automation, intelligent automation, and workforce transformation. Impact of automation on labor force, reskilling and upskilling programs, and the balance between human workers and automated systems in manufacturing and services.",35 "Workforce restructuring driven by technological automation, including reduction in manual processes, deployment of automated manufacturing and logistics systems, and investment in human-machine collaboration technologies and digital transformation of work.",36 "Labor market dynamics including talent acquisition challenges, employee retention, workforce planning in the context of automation, gig economy participation, remote work infrastructure, and the future of work transformation driven by AI and robotics."37 ],38 "macro_risk": [39 "Macroeconomic risks including inflation, interest rate fluctuations, currency exchange rate volatility, recession risk, geopolitical tensions, trade policy uncertainty, tariffs, and supply chain disruptions affecting business performance and revenue.",40 "Economic uncertainty and market volatility, including sensitivity to GDP growth, consumer spending patterns, credit market conditions, commodity price fluctuations, and the impact of monetary and fiscal policy changes on business operations and profitability.",41 "Global economic risks including sovereign debt concerns, emerging market instability, trade war escalation, sanctions, energy price shocks, pandemic impacts on economic activity, and systemic financial market risks affecting corporate investment and capital markets."42 ]43 },44 "alternative": {45 "ai_adoption_strip": {46 "profile": "operational_measures",47 "edit": "original 3 paragraphs minus 'automation', 'intelligent automation', 'cybersecurity', 'data-driven systems', 'predictive analytics', 'intelligent agents' and the generic business-function list",48 "texts": [49 "The company internally uses artificial intelligence, machine learning, generative AI, and large language models to improve productivity, operations, efficiency, decision-making, and customer service.",50 "We have implemented generative AI, large language models, and natural language processing capabilities across our enterprise. Our AI strategy includes deploying machine learning models, computer vision, and neural networks to transform operations.",51 "Investment in artificial intelligence research and development, including partnerships with AI technology providers, hiring of machine learning engineers, and deployment of AI infrastructure including GPU computing clusters for internal business applications."52 ]53 },54 "ai_adoption_core": {55 "profile": "operational_measures",56 "edit": "new narrow paragraphs: only unambiguous AI / machine-learning terms, no automation, analytics, cybersecurity, hardware or business-function vocabulary",57 "texts": [58 "We use artificial intelligence and machine learning models in our products and operations.",59 "The company has deployed generative artificial intelligence, large language models, and neural network models developed by our data science teams.",60 "Our machine learning and artificial intelligence capabilities, including natural language processing and computer vision, are embedded in our services."61 ]62 },63 "ai_infrastructure_strip": {64 "profile": "operational_measures",65 "edit": "original 3 paragraphs minus standalone 'data centers', 'cloud computing resources', 'semiconductor chips', 'high-performance computing systems', 'networking equipment', 'edge computing', 'hyperscale cloud providers', 'GPU supply chain management'; every remaining hardware term is tied to AI / machine learning",66 "texts": [67 "Investment in computing infrastructure dedicated to artificial intelligence and machine learning workloads, including GPU and TPU clusters and AI accelerator hardware for model training.",68 "Capital expenditures for AI infrastructure, including specialized computing platforms for large-scale machine learning model development, hardware for AI inference, and data pipeline infrastructure for machine learning operations.",69 "Spending on AI-optimized hardware and next-generation computing architectures for artificial intelligence applications, including partnerships with providers of AI model training capacity."70 ]71 },72 "cybersecurity_strip": {73 "profile": "risk_measures",74 "edit": "original 3 paragraphs minus 'and AI-powered threat detection'",75 "texts": [76 "Cybersecurity risks including data breaches, ransomware attacks, unauthorized access to systems, intellectual property theft, and operational disruption from cyber incidents. Investment in information security controls, threat detection, and incident response capabilities.",77 "Data privacy and security compliance including GDPR, CCPA, and other data protection regulations. Cybersecurity governance, risk management frameworks, security operations centers, and employee security awareness training programs to protect critical infrastructure.",78 "Critical infrastructure protection, network security, endpoint security, identity and access management, zero-trust architecture implementation, penetration testing, cyber insurance, and board-level oversight of cybersecurity risk management."79 ]80 },81 "automation_labor_strip": {82 "profile": "operational_measures",83 "edit": "original 3 paragraphs minus 'intelligent automation' and 'driven by AI and robotics' -> 'driven by robotics'",84 "texts": [85 "Automation of business processes, robotic process automation, and workforce transformation. Impact of automation on labor force, reskilling and upskilling programs, and the balance between human workers and automated systems in manufacturing and services.",86 "Workforce restructuring driven by technological automation, including reduction in manual processes, deployment of automated manufacturing and logistics systems, and investment in human-machine collaboration technologies and digital transformation of work.",87 "Labor market dynamics including talent acquisition challenges, employee retention, workforce planning in the context of automation, gig economy participation, remote work infrastructure, and the future of work transformation driven by robotics."88 ]89 }90 },91 "columns": [92 "s_ai_adoption",93 "s_ai_disruption_risk",94 "s_ai_infrastructure",95 "s_esg_commitment",96 "s_climate_risk",97 "s_cybersecurity",98 "s_automation_labor",99 "s_macro_risk",100 "l_ai_adoption",101 "l_ai_disruption_risk",102 "l_ai_infrastructure",103 "l_esg_commitment",104 "l_climate_risk",105 "l_cybersecurity",106 "l_automation_labor",107 "l_macro_risk",108 "alt_ai_adoption_strip",109 "alt_ai_adoption_core",110 "alt_ai_infrastructure_strip",111 "alt_cybersecurity_strip",112 "alt_automation_labor_strip"113 ]114}