AI & Change Management Statistics as of Feb. 2025

Below is a list of statistics I used while writing my AI Operations book.

AI statistics

Here is a list of AI statistics that Deep Research (from OpenAI) produced along the journey of writing this book (and as of February 13th, 2025). I have not tested all of these links but most seem legit.

• McKinsey Global AI Survey (2024): Global AI Adoption (2024)

• IBM Global AI Adoption Index (2023): Top Country for AI Adoption

• Forbes / PennedPiece (2023): China vs. US AI Adoption

• McKinsey Global Survey (2022): Growth Since 2017

• McKinsey Global Survey (2023): Generative AI Adoption (2023)

• McKinsey Global Survey (2024): GenAI Adoption Surge (2024)

• Grand View Research (2023): Global AI Market Value

• Omdia / Tractica (2023): AI Software Market Revenue

• IDC Forecasts (2023): Global AI Spending 2023

• Vention (compilation, 2023): Enterprise AI Investment Plans

• McKinsey (2025 Workplace AI Report): Execs Increasing AI Spend

• IDC via KPMG (2023): Worldwide AI Forecast

• Forbes (2019) via NU.edu (2024): Customer Service AI

• Gartner Poll (Oct 2023): GenAI Pilots in Production

• WEF – Future of Jobs Report (2020): Jobs Displaced by 2025

• Microsoft Work Trend Index (2023): Workers Using AI (2024)

• AIPRM / ResumeBuilder Survey (2023): Workers’ Job Fears

• AWS/Access Partnership Survey (2024): Productivity Boost from AI Skills

• MIT Sloan Research (2023): GenAI & Worker Productivity

• NewVantage Partners Survey (2022): Companies Investing in AI

• IDC Forecast (2023): AI Infrastructure Market

• IDC Forecast (2023): AI Platforms Software

• BCG “Where’s the Value in AI?” (2024): Fintech & AI Leaders

• McKinsey & industry reports (2023): Retrieval-Augmented GenAI (RAG)

• Salesforce & Gartner (2023): Autonomous AI Agents

• McKinsey (June 2023): Generative AI Value Potential

• Microsoft/IDC Study (2023): AI ROI (Return on Investment)

• Fortune / Gartner (2022): AI Project Failure Rate

• IBM Global AI Adoption Index (2024): AI Skills Gap

• IBM Institute for Business Value (2023): Generative AI ROI Surge

• Bank of America (2024): #ERROR!

• KPMG (2023): ROI on AI Investment

• McKinsey (2022): Efficiency ↑40%, Costs ↓30%

• The Hackett Group (2023): GenAI to Reduce SG&A 40%

• Deloitte (2022): AI “Critical to Success”

• IDC (2023): #ERROR!

• McKinsey (2021): Forecast Accuracy +10–20%

• Danone/ToolsGroup (2022): Danone’s Planning ROI

• Mastercard/Worldpay (2022): Fraud Detection Tripled

• McKinsey (2023): Customer Service ROI (AI)

• Gorgias (2023): Faster First Response (–37%)

• Zendesk (Unity case, 2023): Unity’s $1.3 M Support Savings

• Tidio (2024): CX Satisfaction Uplift

• Financial Times, February 7, 2025: Investment in AI Infrastructure

• Teneo.Ai, November 2024: AI Adoption in Businesses

• The Times, February 8, 2025: Impact on Employment

• ThoughtSpot, December 2024: AI's Contribution to the Global Economy

• The Guardian, January 29, 2025: AI and Job Displacement

Change management statistics

Here is a list of Change Management statistics that Deep Research (from OpenAI) produced along the journey of writing this book (and as of February 13th, 2025). I have not tested all of these links but most seem legit.

• KPMG (Global Transformation Study, 2016): Ubiquity of Transformation

• CEB (Corporate Leadership Council, 2016): Pace of Change Increasing

• Harvard Business Review (2019): Surge in Change Projects

• Gartner (CHRO Survey, 2019): Top-Down Change Predominant

• Gartner (2022): Inclusive Change Demand

• Prosci (Best Practices Study, 2019): Adoption of Change Offices

• The Business Research Company (2023): Change Mgmt Software Growth

• TBRC (Market Report, 2023): Change Mgmt Consulting Market

• U.S. Bureau of Labor Statistics (2023): Growing Demand for Change Pros

• WalkMe (2024, citing McKinsey): Transformation Is Widespread

• McKinsey & Co. (Global Survey, 2018): Digital Leads Recent Changes

• Altimeter (Digital Transformation Report, 2018): Drivers: Competition & Growth

• Accenture (Pulse of Change Index 2024): Rising Rate of Change

• Capterra (Change Fatigue Survey, 2022): Change as the “New Constant”

• Oak Engage (Change Report, 2023): Widespread Change Exposure

• United Nations (Change Mgmt Survey, 2021): Formal Change Strategy Lacking

• Statista (2019): Change-Ready Culture

• Gartner (HR Survey, 2022): Leadership Involvement Gap

• Change Synergy (Australia Survey, 2020): Leader Training Deficit

• ChangingPoint (UK Change Leadership Study): Managers Feel Unsupported

• Leadership IQ (CEO Study): CEO Turnover from Poor Change

• World Economic Forum (Future of Jobs, 2020): Adaptation & Reskilling Imperative

• Brandon Hall Group (2022): L&D Investment Surge

• LinkedIn (Workplace Learning Report, 2019): Learning Boosts Retention

• McKinsey & Co. (Talent Survey, 2020): Skills Gap Concerns

• McKinsey Global Institute (2017): Automation & Job Transitions

• Gartner (Communication Survey, 2022): Change Fatigue Priority

• Human Capital Institute (Change Readiness): Adaptable Workforce vs. Performance

• Software Advice (Employee Training Survey): Microlearning Preference

• Bain & Company (2022): Higher EBIT & Shareholder Returns

• Accenture (Digital Transformation, 2019): Digital Transformation ROI Struggle

• Harvard Business Review (2019): Wasted Transformation Spend

• Prosci (Best Practices, 2023): Project Objectives Met (with CM)

• Deloitte (Case Study, 2022): ROI from Change Programs

• McKinsey & Co. (2020): Mindset Shifts Drive Success

• McKinsey & Co. (State of Orgs, 2023): Lack of Management Support

• Journal of Change Management (2021): High Failure Rate

• McKinsey & Co. (Global Survey, 2015): Common Failure Causes

• McKinsey & Co. (2023): Transformation “Success” Rate

• Willis Towers Watson (2023): Declining Change Confidence

• Deloitte (CTrO Study, 2022): Transformation Experience

• Forbes Insights (2018): User Buy-In Fail Factor