Vadim Kuhay

A humble system designer, team builder, and player-coach

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Last updated: October 2025

This page provides authoritative sources for claims about enterprise AI adoption, failure rates, and implementation patterns. All sources have been verified and organized by credibility tier.

This is a compendium for article AI Hype — Straight Talk. This list is automatically generated by agentic AI. To re-execute the analytics job clone the corresponding project in Mímis Gildi

Tier 1: Major Research Firms & Primary Academic Sources

MIT Research & Analysis

  • MIT Sloan School of Management: "The GenAI Divide: State of AI in Business 2025" (August 2025) - Covered by Fortune Magazine

    • 95% of AI projects deliver zero ROI

    • $40B wasted on failed enterprise AI initiatives

    • Only 5% achieve revenue acceleration

    • Based on analysis of 300+ enterprise AI projects

    • Primary research conducted by MIT faculty

RAND Corporation

  • RAND Corporation: "AI Implementation Studies" - Research Reports

    • Enterprise AI failure patterns

    • Organizational readiness assessment frameworks

    • Technology adoption barriers in large enterprises

Venture Capital Research Reports

  • Andreessen Horowitz (a16z): "How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025" - Read Report

    • Survey of 100 actual enterprise CIOs

    • Deployment patterns, budget data, model usage statistics

    • Real-world implementation approaches

  • Menlo Ventures: "2025 Mid-Year LLM Market Update: Foundation Model Landscape + Economics" - Read Report

    • Market share data (Anthropic 32%, OpenAI 25%, Google 20%)

    • Open-source decline from 19% to 13%

    • Code generation market shares

  • Menlo Ventures: "2024: The State of Generative AI in the Enterprise" - Read Report

    • Enterprise adoption patterns

    • Multi-model usage trends

Management Consulting Reports

  • Boston Consulting Group (BCG): "AI Adoption in 2024: 74% of Companies Struggle to Achieve and Scale Value" (October 2024) - Read Report

    • 74% failure to scale AI initiatives

    • Only 4% achieve "AI leader" status

    • Organizational capability gaps

  • McKinsey & Company: "The State of AI: How organizations are rewiring to capture value" (2025) - Read Report

    • 70% people/process challenges vs 10% AI algorithm problems

    • 47% experienced AI-related security consequences

    • Global survey of 1,000+ organizations

Tier 2: Official Company Sources & Case Studies

Cloud Provider Official Blogs & Case Studies

  • Microsoft Cloud Blog: "AI-powered success with 1,000+ stories of customer transformation" (July 2025) - Read Blog

    • Vodafone 68,000 employees

    • Telstra 21,000 employees

    • Wells Fargo implementation details

    • 85% Fortune 500 penetration

  • Google Cloud Customer Cases: "Real-world gen AI use cases from industry leaders" - Read Cases

    • Mercedes-Benz implementation

    • United Wholesale Mortgage productivity gains

    • Deutsche Bank "DB Lumina"

  • AWS Bedrock Case Studies:

  • Azure OpenAI Service Blog: "General availability of Azure OpenAI Service" - Read Blog

AI Company Official Sources

  • Anthropic Economic Index Report (September 2025): Read Report

    • 78% organizations using AI

    • 300,000+ enterprise customers

    • $5 billion annual revenue

    • Claude market share growth

  • OpenAI Official Announcements:

Tier 3: Enterprise Research & Surveys

  • Salesforce CIO Survey: "Just 11% of CIOs Have Fully Implemented AI" (2025) - Read Survey

    • Only 11% fully implemented

    • 20% budget to data infrastructure vs 5% to AI

    • Security as primary barrier

  • EY CIO Survey: "Sentiment in the age of GenAI" - Read Survey

    • Implementation challenges

    • Budget allocation patterns

  • Flexential: "State of AI Infrastructure Report 2024" - Read Report

    • 42% pulled workloads back from cloud

    • Security and cost concerns

  • S&P Global: "AI Implementation Paradox: Why 42% of Enterprise Projects Fail" - Covered by Medium Analysis

    • 42% of companies abandoned AI initiatives in 2025

    • Up from 17% in 2024

    • Architectural debt as primary cause

Tier 4: Market Research Firms

Gartner Research

  • Gartner: "Worldwide IaaS Public Cloud Services Market Grew 22.5% in 2024" - Read Release

  • Gartner: "GenAI Spending to Reach $644 Billion in 2025" - Read Forecast

  • Gartner: "Survey Finds Generative AI is Now the Most Frequently Deployed AI Solution" (May 2024) - Read Survey

    • 48% of AI projects never reach production

    • 63% of organizations lack proper data practices for AI

    • Deployment challenges and barriers

Other Market Research

  • Mordor Intelligence:

    • "Enterprise AI Market - Share, Trends & Size 2025-2030" - Read Report

    • "AI Infrastructure Market Analysis" - Read Analysis

    • 24.05% CAGR for hybrid deployments

  • IoT Analytics: "Who is winning the cloud AI race?" - Read Analysis

Tier 5: Industry Analysis & Technical Reports

  • AI Infrastructure Alliance: "Hidden Costs, Challenges and TCO for Gen AI Adoption" (Sept 2023) - Read Report

    • $500K-$1M infrastructure costs

    • TCO analysis

  • Broadcom: "Why AI On-Premises Means Big Bottom-line Advantages" (2025) - Read Article

    • 1/3 to 1/5 cost of cloud at scale

  • Hugging Face: "AI Total Cost of Ownership Calculator" - View Calculator

    • Cost comparison methodologies

  • Coherent Solutions: "AI Development Cost Estimation" - Read Guide

    • $75K-$200K implementation costs

Tier 6: Technical Documentation & Comparisons

  • Milvus: "Amazon Bedrock vs Azure OpenAI vs Google Vertex AI Comparison" - Read Comparison

  • Stephen Quirke (Substack): "Comparing Hyperscalers for Enterprise AI" - Read Analysis

    • Technical performance comparisons

    • Platform capabilities analysis

  • Red Hat Blog: "2024 enterprise trends: cloud meets AI" - Read Blog

Tier 7: Financial & Business Media

  • Fortune Magazine: "MIT report: 95 percent of generative AI pilots at companies are failing, warns CFO" (August 2025) - Read Article

    • Primary coverage of MIT research

    • $40B wasted on failed AI

    • Executive perspective on AI failures

  • FinancialContent: "Azure’s AI Ascent Fuels Microsoft’s Earnings" (Sept 2025) - Read Article

    • 64% YoY Azure growth

    • $13B annualized AI revenue

  • VentureBeat: "The enterprise verdict on AI models: Why open source will win" - Read Article

    • (Note: Prediction contradicted by 2025 Menlo data showing open-source decline)

  • CNBC: "OpenAI launches GPT-5 model" (August 2025) - Read Article

  • Wikipedia: "GPT-5" - Read Entry

    • Timeline and launch details

Tier 8: Additional Industry Resources

  • Box Blog: "State of enterprise AI adoption in 2024" - Read Blog

  • Futurum Group: "Google Cloud’s Vertex AI Leap" - Read Analysis

  • InformationWeek: "The Cost of AI Infrastructure" - Read Article

  • CloudZero: "AI Costs In 2025: A Guide" - Read Guide

How to Use This Reference List

For CTOs and Technical Leaders:

  • Tier 1-2 sources provide the most authoritative data for board presentations

  • Use MIT/Fortune data for failure rate discussions

  • Reference McKinsey for organizational challenges

  • Cite cloud provider case studies for success patterns

For Architects:

  • Tier 5-6 sources contain technical implementation details

  • Use for cost analysis and platform comparisons

  • Reference for TCO calculations

For Business Cases:

  • Combine Tier 1 (failure data) with Tier 2 (success cases)

  • Show the gap between 95% who fail and 5% who succeed

  • Use Gartner spending forecasts for market context

This reference list is maintained by Advanced Software Enterprises Inc. as part of our commitment to evidence-based AI architecture consulting.

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