References & Bibliography
Complete research sources for Why AI Fails: The Leadership Discipline Behind the 5% Who Succeed
60 sources across academic research, management consulting, and technology industry analysis. Formatted per the Chicago Manual of Style, 17th Edition.
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Section 1:Books
Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. Prediction Machines: The Simple Economics of Artificial Intelligence. Boston: Harvard Business Review Press, 2018.
Iansiti, Marco, and Karim R. Lakhani. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Boston: Harvard Business Review Press, 2020.
Lee, Kai-Fu. AI Superpowers: China, Silicon Valley, and the New World Order. Boston: Houghton Mifflin Harcourt, 2018.
Minsky, Hyman P. Stabilizing an Unstable Economy. New Haven: Yale University Press, 1986.
Drucker, Peter F. The Practice of Management. New York: Harper & Brothers, 1954.
Section 2:Academic Research & Journals
MIT Research
MIT Sloan Management Review. "State of AI in Business 2025." MIT Sloan Management Review, 2025.
https://sloanreview.mit.edu/projects/learning-to-manage-uncertainty-with-ai/MIT Sloan Management Review. "Learning to Manage Uncertainty with AI." MIT Sloan Management Review, 2024.
https://sloanreview.mit.edu/
MIT Initiative on the Digital Economy
MIT Initiative on the Digital Economy. Research on organizational AI adoption patterns and digital transformation. Multiple studies, 2022–2025.
https://ide.mit.edu/MIT Sloan School of Management. Research on learning curves and knowledge management in AI adoption. Multiple faculty publications, 2023–2025.
https://mitsloan.mit.edu/
MIT Project NANDA
Challapally, Aditya, Chris Pease, Ramesh Raskar, and Pradyumna Chari. "The GenAI Divide: State of AI in Business 2025." MIT Project NANDA, July 2025. Based on 52 structured interviews, 300+ public AI initiative reviews, and surveys of 153 senior leaders.
https://www.artificialintelligence-news.com/wp-content/uploads/2025/08/ai_report_2025.pdf
RAND Corporation
Ryseff, James, Brandon De Bruhl, and Sydne J. Newberry. "The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed: Avoiding the Anti-Patterns of AI." RAND Corporation, 2024. RR-A2680-1. Based on interviews with 65 data scientists and engineers.
https://www.rand.org/pubs/research_reports/RRA2680-1.html
Harvard Research
Harvard Business Review. "AI-First Leadership: Embracing the Future of Work." Harvard Business Impact, 2025.
https://www.harvardbusiness.org/insight/ai-first-leadership-embracing-the-future-of-work/Harvard Business School. "Competing in the Age of AI." Digital Data Design Institute at Harvard (D^3), 2020–2024. Research by Karim R. Lakhani, Tsedal Neeley, and Marco Iansiti on large-scale transformations and coalition dynamics.
https://d3.harvard.edu/Harvard Business Review. "6 Ways AI Changed Business in 2024, According to Executives." Harvard Business Review, January 2025.
https://hbr.org/Harvard Business School. Research on enterprise AI deployment scaling patterns, failure modes, and success factors. D^3 Institute Working Papers, 2023–2024.
https://d3.harvard.edu/Harvard Business School. Research on organizational learning and AI capability development. Multiple faculty publications, 2022–2025.
https://www.hbs.edu/
Stanford Research
Stanford University Human-Centered AI Institute (HAI). "Artificial Intelligence Index Report 2024." Stanford University, April 2024.
https://aiindex.stanford.edu/Stanford University. AI implementation research and pattern analysis through the Stanford Digital Economy Lab. Multiple studies, 2023–2025.
https://digitaleconomy.stanford.edu/
Center for Creative Leadership
Center for Creative Leadership. Research on AI leadership competencies and organizational transformation. Multiple publications, 2023–2025.
https://www.ccl.org/
Stanford Medicine
Stanford Medicine. Stanford Medicine AI Program: clinical AI implementation research and outcomes tracking. Stanford University School of Medicine, 2022–2025.
https://med.stanford.edu/ai.html
Section 3:Management Consulting Reports
McKinsey & Company
McKinsey & Company. "The State of AI in 2024: Generative AI's Breakout Year." McKinsey Quarterly, 2024.
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2024McKinsey & Company. "Future of Investment Management." McKinsey Digital, 2024.
https://www.mckinsey.com/McKinsey & Company. "Charting a Path to the Data- and AI-Driven Enterprise of 2030." McKinsey Digital, 2024.
https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/charting-a-path-to-the-data-and-ai-driven-enterprise-of-2030McKinsey & Company. "The State of AI in 2025: Agents, Innovation, and Transformation." McKinsey Quarterly, 2025.
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-aiMcKinsey & Company. Research on AI scaling initiatives across 1,200+ organizations: capability transfer, learning cultures, and pilot-to-production success factors. McKinsey Digital and QuantumBlack, 2023–2025.
https://www.mckinsey.com/capabilities/quantumblack/McKinsey & Company. Research on digital transformations and capability transfer in enterprise AI adoption. McKinsey Global Institute, 2023–2024.
https://www.mckinsey.com/mgi/
IBM Institute for Business Value
IBM Institute for Business Value. "The CEO's Guide to Generative AI: Executive Series." IBM Thought Leadership, 2024.
https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/generative-ai-for-executivesIBM Institute for Business Value. Research on AI implementation challenges and workforce transformation. Multiple reports, 2023–2024.
https://www.ibm.com/thought-leadership/institute-business-value/IBM Institute for Business Value. Research on capability development across 147 organizations implementing enterprise AI. IBM IBV Working Papers, 2023–2024.
https://www.ibm.com/thought-leadership/institute-business-value/
Boston Consulting Group (BCG)
Boston Consulting Group. "Where's the Value in AI?" BCG Publications, October 2024.
https://www.bcg.com/publications/2024/wheres-value-in-aiBoston Consulting Group. "AI Adoption in 2024: 74% of Companies Struggle to Achieve and Scale Value." BCG Press Release, October 2024.
https://www.bcg.com/press/24october2024-ai-adoption-in-2024-74-of-companies-struggle-to-achieve-and-scale-valueBoston Consulting Group. "From Potential to Profit with GenAI: BCG AI Radar." BCG Publications, 2024.
https://www.bcg.com/publications/2024/from-potential-to-profit-with-genai
Deloitte Insights
Deloitte AI Institute. "State of Generative AI in the Enterprise." Quarterly research series, Q1–Q4 2024.
https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-generative-ai-in-enterprise.htmlDeloitte. "Tech Trends 2024: AI Is Becoming Foundational to the Modern Enterprise." 16th Annual Technology Trends Report, January 2024.
https://www2.deloitte.com/us/en/insights/focus/tech-trends.htmlDeloitte. "Four Futures of Generative AI in the Enterprise: Scenario Planning for Strategic Resilience." Deloitte Insights, 2024.
https://www.deloitte.com/us/en/insights/topics/digital-transformation/generative-ai-and-the-future-enterprise.html
PricewaterhouseCoopers (PwC)
PwC. "2024 Global AI Jobs Barometer: AI-Exposed Sectors Experience Productivity Surge." PwC Research, May 2024.
https://www.pwc.com/gx/en/news-room/press-releases/2024/pwc-2024-global-ai-jobs-barometer.htmlPwC. "27th Annual Global CEO Survey: Thriving in an Age of Continuous Reinvention." PwC Research, 2024.
https://www.pwc.com/gx/en/ceo-survey/2024/PwC. "2024 Global Investor Survey: Investors Expect Companies to Deliver AI Results." PwC Research, December 2024.
https://www.pwc.com/gx/en/news-room/press-releases/2024/pwc-2024-global-investor-survey.html
Accenture
Accenture. "AI in Asset Management." Accenture Technology Vision, 2023.
https://www.accenture.com/Accenture. Research on enterprise AI implementation patterns. Multiple reports, 2023–2024.
https://www.accenture.com/
Section 4:Technology Industry Research
Gartner
Gartner, Inc. "AI Maturity Model and AI Roadmap Toolkit." Gartner Research, 2024.
https://www.gartner.com/en/chief-information-officer/research/ai-maturity-model-toolkitGartner, Inc. "AI Maturity Matters: Organizations' AI Operating Models." Gartner Research Document 6587502, 2024.
https://www.gartner.com/en/documents/6587502Gartner, Inc. "Survey Finds 45% of Organizations With High AI Maturity Keep AI Projects Operational for at Least Three Years." Gartner Newsroom, June 2025.
https://www.gartner.com/en/newsroom/press-releases/2025-06-30-gartner-survey-finds-forty-five-percent-of-organizations-with-high-artificial-intelligence-maturityGartner, Inc. Tracking of 890 AI production deployments: success factors, failure patterns, and maturity indicators. Gartner Research, 2023–2025.
https://www.gartner.com/
Forrester Research
Forrester Research, Inc. "The State of Generative AI, 2024." Forrester Report RES180458, 2024.
https://www.forrester.com/report/the-state-of-generative-ai-2024/RES180458Forrester Research, Inc. "The Forrester Wave: AI/ML Platforms, Q3 2024." Forrester Report RES181223, 2024.
https://www.forrester.com/report/the-forrester-wave-tm-ai-ml-platforms-q3-2024/RES181223Forrester Research, Inc. "The Forrester Wave: AI Infrastructure Solutions, Q1 2024." Forrester Report RES180430, 2024.
https://www.forrester.com/report/the-forrester-wave-tm-ai-infrastructure-solutions-q1-2024/RES180430Forrester Research, Inc. "The Forrester Wave: AI Services, Q2 2024." Forrester Report RES180736, 2024.
https://www.forrester.com/report/the-forrester-wave-tm-ai-services-q2-2024/RES180736
IDC (International Data Corporation)
IDC. "Worldwide Artificial Intelligence IT Spending Forecast, 2024–2028." IDC Spending Guide US52635424, 2024.
https://my.idc.com/getdoc.jsp?containerId=US52635424IDC. "Worldwide Spending on Artificial Intelligence Forecast to Reach $632 Billion in 2028." IDC Press Release prUS52530724, 2024.
https://my.idc.com/getdoc.jsp?containerId=prUS52530724IDC. "FutureScape: Worldwide Generative AI 2025 Predictions." IDC Research, 2024.
https://info.idc.com/futurescape-generative-ai-2025-predictions.htmlIDC. "Artificial Intelligence Infrastructure Spending to Reach $758 Billion by 2029." IDC Press Release prUS53894425, 2025.
https://my.idc.com/getdoc.jsp?containerId=prUS53894425
Section 5:Financial Institutions & Venture Capital
Bessemer Venture Partners
Bessemer Venture Partners. "The AI Upskilling Guide for Executives." Bessemer Venture Partners, 2025.
https://www.bvp.com/
Section 6:White Papers & Technical Documents
Government & Standards
National Institute of Standards and Technology (NIST). AI Risk Management Framework. U.S. Department of Commerce, 2023.
https://www.nist.gov/itl/ai-risk-management-frameworkEuropean Commission. Documentation related to the EU AI Act. European Union, 2024.
https://digital-strategy.ec.europa.eu/
Industry Associations
World Economic Forum. AI reports and transformation insights. Multiple publications, 2023–2025.
https://www.weforum.org/IEEE (Institute of Electrical and Electronics Engineers). Standards and research on AI ethics and implementation. Multiple publications, 2023–2025.
https://www.ieee.org/ACM (Association for Computing Machinery). Publications on AI systems and computing. Multiple papers, 2023–2025.
https://www.acm.org/
Section 7:News & Media
Business Publications
Fortune Magazine. References to Fortune 500 companies and industry analysis. Various articles, 2023–2025.
https://fortune.com/
Technology Media
TechCrunch. Secondary source for technology industry news and analysis. Various articles, 2024–2025.
https://techcrunch.com/
Explore the Research in Context
These sources underpin the Seven Pillar AI Adoption Framework and the practical leadership strategies detailed throughout the book.