In a groundbreaking book, ABC: AI, Blockchain, and Cybersecurity for Finance, soon to be published by Routledge this year, co-authors Anil Chintapalli, Dr. David Metcalf, and Dr. Max Hooper outline three critical technologies – AI, blockchain, and cybersecurity – that must be on every enterprise’s radar. More importantly, these technologies must be embedded in every enterprise’s operating model to survive and thrive in this new era.
“AI, blockchain, and cybersecurity (‘ABC’) are poised to radically transform the enterprise landscape of every single industry,” says co-author Anil Chintapalli, Chairman of People360, Managing Partner at Human Capital Development, and Strategic Advisor to McKinsey & Company. “The promise lies in their ability to amplify human capital, transform industries, and solve complex global socio-economic challenges at unprecedented speed and scale.”
As enterprises face these rapidly evolving technologies, the book offers essential insights for businesses to stay ahead of the curve. It outlines how organizations can leverage them by identifying opportunities and risks, designing an enterprise strategy, building operating models and resilient infrastructure, addressing concerns regarding talent (including agentic workforce), change management, governance, planning for execution and scaling, and, importantly, achieving return on investment
“We articulate an operating functional and pragmatic blueprint on these technologies, and how this will shape and define the future of business, operations, and the technology landscape,” says co-author Dr. David Metcalf, General Partner and Director at Global Blockchain Ventures.
The 10 Critical AI Challenges
As an excerpt from the upcoming book, the authors identify 10 challenges pertaining to AI that need to be addressed by enterprises globally:
1. Lack of Clear Strategy or Use-Case Prioritization – Many enterprises jump into AI without defining why or where it creates value, leading to “shiny object syndrome” —pursuing AI for innovation theater, not for impact or definitive business outcomes.
2. Data Fragmentation and Poor Data Quality – 80% of AI effort is often spent on data preparation to address data quality issues and/or data fragmentation challenges.
3. Legacy Infrastructure and Integration Barriers – Machine learning operations and data pipelines are often immature and/or underfunded, creating substantive barriers for execution.
4. Talent Shortage and Organizational Readiness – Many projects fail due to “AI stuck in the lab”—not embedded into the business due to a lack of specific multi-functional and domain-related talent.
5. Low Trust and Resistance to Change – Change management and stakeholder education are crucial to overcome fear and friction.
6. Ethics, Bias, and Regulatory Risk – Enterprises need strong AI governance frameworks—explainability, fairness, and human oversight.
7. Scaling from Pilots to Production – Unclear ownership, lack of ROI tracking, model drift, and security risks undermine a project’s ability to go from pilot to production.
8. Undefined ROI and Business Case Uncertainty – Without a strong value realization framework, leadership support fades.
9. Market Demand and Timeliness – Without a proven implementation methodology, practical outcomes are not aligned to theoretical promise.
10. Practical Knowledge Gap – Without extensive and upfront investment in addressing the knowledge gap (why, what, when, and how), project outcomes are compromised.
Importantly, the authors outline pragmatic solutions to address these challenges, holistically supported by pertinent case studies
“ABC will shape and define the future of our current technology and post-quantum future,” says co-author Dr. Max Hooper, General Partner and Managing Director at Global Blockchain Ventures. “ABC: AI, Blockchain, and Cybersecurity for Finance is an essential resource for anyone in finance and pertinent industries looking to understand and prepare for the future of technology.”
All three authors not only bring substantive individual experience spanning technology, operations, and investments relevant to the AI, blockchain, and cybersecurity sectors, but also have authored prior technology books. Anil, who also serves on the Forbes Business Council and the Fast Company Executive Board, authored a technology book on SAP published by John Wiley, while Dr. David Metcalf and Dr. Max Hooper have authored multiple publications on topics such as, but not limited to, Blockchain.
Learn more about Human Capital Development at www.thehumancapital.dev.
