60 Leaders on Artificial Intelligence
17 essential questions on AI — answered by 60 global leaders across technology, research, ethics, and policy. 240+ pages. Free.
The AI Revolution — Through 60 Different Lenses
Published in 2022 — before ChatGPT, before the generative AI explosion, before 'AI strategy' became a boardroom agenda item — this book asked the questions that still don't have easy answers. And it gave them to sixty people, not one. 60 Leaders on Artificial Intelligence brings together researchers, engineers, ethicists, executives, and policy experts — each answering the same 17 questions about AI's impact on business, society, employment, democracy, and the future.
The result is 240+ pages of unfiltered perspectives on AI strategy, ethics, employment, governance, geopolitics, and the nature of intelligence itself. Written before the current wave, the core principles and philosophies are more relevant now than when they were published — because the questions these leaders answered in theory are the ones organizations are now confronting in practice. The companion volume, 60 Leaders on Innovation, applies the same format to corporate innovation.
Produced by George Krasadakis — author of Innovation Mode 2.0 (Springer, 2026), holder of 20+ AI patents, and founder of Ainna.ai — A project made of pure passion for AI from 60+ people across the globe.
These questions were asked before the generative AI explosion. The answers are more relevant now than when they were written.
AI will empower people to free up time from monotonous, low-value work and engage with more creative and strategic activities — leading to a new era of prosperity and well-being.
— George Krasadakis, from the PrefaceThe Leaders Behind the Insights
60 executives, entrepreneurs, investors, and academics — each bringing a different lens to the same fundamental questions about innovation.
Cynthia Rudin
Professor · Duke UniversityMy lab is working on automatically generated poetry and music — AI's creative frontier.
Edward Pyzer-Knapp
WW Research Lead, AI · IBM ResearchAI is key in the evolution of business from a data-driven to a discovery-driven enterprise.
Arathi Sethumadhavan
Principal Research Manager, Ethics & Society · MicrosoftIt is now more important than ever to have principles, governance, and processes for responsible development of AI.
Richard Benjamins
Chief AI & Data Strategist · TelefónicaConventional companies generate much data as an exhaust of their operation, but are — by design — not ready to exploit it for decision-making.
Abhishek Gupta
Founder · Montreal AI Ethics InstituteTo draw AI talent, provide meaning and purpose beyond just compensation.
Agnis Stibe
AI Program Director · EM Normandie Business SchoolAny advanced technology is a great mirror for people to see their bright and dark sides.
Full contributor list: Abhishek Gupta, Agnis Stibe, Alex Guilbault, Alex Wang, Alf Rehn, Anand Ranganathan, Angeliki Dedopoulou, Anthony Mills, Arathi Sethumadhavan, Aruna Kolluru, Aruna Pattam, Badr Boussabat, Boyka Simeonova, Christian Guttmann, Cynthia Rudin, David Pereira, Dima Turchyn, Edward Pyzer-Knapp, Eleanor Watson, Emma Duckworth, Enrico Panai, Eva Agapaki, George Panou, Golestan Radwan, Gertjan Boulet, Harry Mamangakis, Himanshi Allahabadi, Jair Ribeiro, Jaroslav Bláha, Jennifer Victoria Scurrell, João Azevedo Abreu, John Thompson, Jon Skirnir Agustsson, Jordi Guitart, Joseph Yun, Jyotirmay Gadewadikar, Kashyap Kompella, Luca Sambucci, Marily Nika, Mathew Hughes, Mayte Hidalgo, Michael Wu, Mike Tamir, Nazar Zaki, Netanel Eliav, Prakash Natarajan, Professor Andy Pardoe, Professor Eleni Mangina, Raj Madan, Richard Benjamins, Samiran Ghosh, Sherin Mathew, Siddha Ganju, Simon Greenman, Steve Shwartz, Sunil Kumar, Therése Svensson, Tirthajyoti Sarkar, Veena Calambur, Yannis Kalfoglou, Yasen Dimitrov.
The Questions That Define the AI Era
From explaining AI to a 5-year-old to asking whether AI could replicate itself — each question is answered by multiple leaders with diverse, sometimes conflicting perspectives.
How would you explain AI to a 5-year-old?
AI is about getting machines to complete complex tasks through trial and error — learning from mistakes until they get it right. The simplest explanation is often the most revealing.
What is the essential curriculum for a career in AI?
AI is inherently interdisciplinary. A great AI scientist comprehends interrelated disciplines — from statistics and linear algebra to domain expertise and data storytelling.
What is the most impressive task AI can accomplish today?
From automatically generated poetry to drug target identification — but the most impressive task AI can accomplish is yet to come, and it will deal with human health.
How is AI impacting the way businesses operate?
AI is key in the evolution from data-driven to discovery-driven enterprise. But it's naive to think efficiency improves just by adopting AI tools — you need the organizational architecture and the right discovery tools to match.
How could a company transform into an AI-powered organization?
Transforming into an AI-first organization is an ongoing journey, not a project. Data democratization is achieved when data is used in regular decision-making — supported by the right organizational design. AI-powered strategy tools now make this transition faster than ever.
Do companies need a Chief AI Officer?
The CAIO is responsible for driving tremendous organizational change — sharing the AI vision, driving adoption, and connecting teams. CDO and CAIO should not be interchangeable roles — much like the Chief Innovation Officer.
What is the AI state of the art?
Quantum computing holds great potential and could cause a real step-change. AI on quantum computers will make breakthroughs in solving some of the world's most pressing problems.
What is AI's impact on our societies and everyday life?
Since the efficiency gained from AI is huge, the inequality it creates is also extreme. It is of critical importance that we retain the human capacity to imagine and dream.
What is the impact of AI on employment?
Humans who master math and coding will have job security for the foreseeable future. But large-scale job displacement in the short term is a problem we must address — not dismiss.
How should societies get prepared for AI?
General awareness programs should dispel the myths around AI. A vital component of readiness is training domain experts — not just data scientists — to work with AI systems.
What are the ethical concerns of AI?
Without intervention, AI algorithms can learn, codify, and perpetuate biases long into the future. Rigorous experimentation frameworks are essential. What scares us is not driving fast — it's driving fast while blindfolded.
How do we prevent the concentration of AI power?
To draw AI talent, provide meaning and purpose beyond just compensation. It is extremely difficult for small companies to attract AI talent — and that imbalance shapes the entire ecosystem.
To regulate or not? How should governments react to AI?
We should not expect technology companies to have humanity's best interest at heart. But it is difficult to regulate something when its capabilities are evolving and hard to predict. Patent architectures offer one framework.
How could democracy benefit from AI?
If applied mindfully, AI can significantly foster democratic processes. But expecting an ML algorithm to become a magic truth detector might be naive.
Can AI help solve climate change?
Innovation is what will help organizations bring emissions to the required level. AI and sustainability research must join forces — now is the right time.
How is AI changing the global geopolitical system?
AI will rebalance power between states, upend traditional economic models, and transform the nature of warfare. AI technology will be the defining geopolitical issue in the coming decades.
Will AI become capable of replicating or redefining itself?
Today's AI systems don't have the reasoning capabilities of a 4-year-old child. We are a very long way from the world's first AI-built AI — but that doesn't mean we shouldn't prepare.
AI will be woven into the fabric of society, businesses, and governments. AI technology will be the defining geopolitical issue in the coming decades.
— Simon Greenman, Partner, Best Practice AIWant These Frameworks Applied to Your Organization?
From AI strategy to organizational readiness — the frameworks behind Innovation Mode 2.0 and 20+ AI patents, deployed directly to your executive team in 8 weeks.
Or explore Ainna.ai — the autonomous innovation agent that operationalizes these frameworks for product teams.
Further AI Insights
Innovation Mode 2.0
The executive operating manual. 70+ interventions, Innovation Deficits diagnostic, Maturity Index. Springer, 2026.
60 Leaders on Innovation
The companion volume. 22 questions on corporate innovation answered by 60 global leaders. 286 pages. Free.
Innovation Dictionary
60+ terms defined — from Innovation Maturity Index to Agentic AI. The glossary for innovation professionals.
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