Sridhar Manohar – författare

This book is about the future of leadership and organisations with the integration of artificial intelligence (AI) in the business ecosystem. The book, from the perspective of academic inquiries, suggests that the emergence of AI as a transformative force in business calls for redefining traditional competitive and leadership theories and frameworks. The manuscript puts forward the alternative versions of classic business, technological and economic models like Porter's Five Forces model, NASA's technology maturity model of Technology Readiness Level and the classic economic theory of division of labour. The work discusses the developing norms and contours of human-AI workforce integration and the challenges that leadership will encounter to realign the corporate strategies with AI to emerge it as a critical cog that will drive innovation, growth and stakeholder value. The book, while revealing the critical role of AI in driving business growth, will also put forward the new set of competencies necessary for next-generation leadership to manage AI-driven corporate functions. With the integration of AI in organisational hierarchy, leadership needs to deliberate on what to delegate and how much to delegate to AI for the decision-making process and what kind of firewalls would be required to have oversight on AI and move towards developing and deploying 'Responsible AI'.

This book is about the future of leadership and organisations with the integration of artificial intelligence (AI) in the business ecosystem. The book, from the perspective of academic inquiries, suggests that the emergence of AI as a transformative force in business calls for redefining traditional competitive and leadership theories and frameworks. The manuscript puts forward the alternative versions of classic business, technological and economic models like Porter's Five Forces model, NASA's technology maturity model of Technology Readiness Level and the classic economic theory of division of labour. The work discusses the developing norms and contours of human-AI workforce integration and the challenges that leadership will encounter to realign the corporate strategies with AI to emerge it as a critical cog that will drive innovation, growth and stakeholder value. The book, while revealing the critical role of AI in driving business growth, will also put forward the new set of competencies necessary for next-generation leadership to manage AI-driven corporate functions. With the integration of AI in organisational hierarchy, leadership needs to deliberate on what to delegate and how much to delegate to AI for the decision-making process and what kind of firewalls would be required to have oversight on AI and move towards developing and deploying 'Responsible AI'.

This book is about the future of leadership and organisations with the integration of artificial intelligence (AI) in the business ecosystem. The book, from the perspective of academic inquiries, suggests that the emergence of AI as a transformative force in business calls for redefining traditional competitive and leadership theories and frameworks. The manuscript puts forward the alternative versions of classic business, technological and economic models like Porter’s Five Forces model, NASA’s technology maturity model of Technology Readiness Level and the classic economic theory of division of labour. The work discusses the developing norms and contours of human-AI workforce integration and the challenges that leadership will encounter to realign the corporate strategies with AI to emerge it as a critical cog that will drive innovation, growth and stakeholder value. The book, while revealing the critical role of AI in driving business growth, will also put forward the new set of competencies necessary for next-generation leadership to manage AI-driven corporate functions. With the integration of AI in organisational hierarchy, leadership needs to deliberate on what to delegate and how much to delegate to AI for the decision-making process and what kind of firewalls would be required to have oversight on AI and move towards developing and deploying ‘Responsible AI’.