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Future of Work - AI Augmented Autonomous Decentralised
This book speaks directly to a diverse audience; management professionals navigating changing workplaces, industry leaders steering organizations through digital transformation, academic leaders guiding educational institutions through technological shifts, ambitious students preparing for AI-integrated careers, and intellectually curious individuals seeking to understand the technological forces reshaping our world.
More than a conventional business guide, it offers a compelling exploration of the tech-augmented workplace where Artificial Intelligence transcends its role as a mere tool to become a transformative force fundamentally altering how we think, collaborate, make decisions, and lead. In this emerging era, understanding AI's capabilities, limitations, and implications has shifted from being optional knowledge to an essential competency.
The book's foundation rests on more than 50 meticulously selected high-calibre essays, surveys, and research papers published in recent times, primarily during 2024-2025, creating a current and comprehensive intellectual framework that blends cutting-edge scholarship with grounded, actionable insight. Each carefully crafted chapter artfully integrates current data, expert commentary, and thoughtful personal reflection to present a nuanced, practical, and accessible view of AI's growing influence across professional domains and everyday life.
Together with its forthcoming companion volume, the book aspires to provide a comprehensive yet deeply human-centered perspective on our rapidly evolving AI landscape—one that acknowledges both tremendous opportunities and meaningful challenges.
More than a conventional business guide, it offers a compelling exploration of the tech-augmented workplace where Artificial Intelligence transcends its role as a mere tool to become a transformative force fundamentally altering how we think, collaborate, make decisions, and lead. In this emerging era, understanding AI's capabilities, limitations, and implications has shifted from being optional knowledge to an essential competency.
The book's foundation rests on more than 50 meticulously selected high-calibre essays, surveys, and research papers published in recent times, primarily during 2024-2025, creating a current and comprehensive intellectual framework that blends cutting-edge scholarship with grounded, actionable insight. Each carefully crafted chapter artfully integrates current data, expert commentary, and thoughtful personal reflection to present a nuanced, practical, and accessible view of AI's growing influence across professional domains and everyday life.
Together with its forthcoming companion volume, the book aspires to provide a comprehensive yet deeply human-centered perspective on our rapidly evolving AI landscape—one that acknowledges both tremendous opportunities and meaningful challenges.
259 pages, Kindle Edition
Published October 18, 2025
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November 20, 2025
Well researched book on AI. Better written than the authors previous book. I like the narrative style. Very pictorial. Came across authors interview online which explains the book:
TechTalents Insights: In your book, you emphasize that workplaces must adapt to include non-human actors and that organizational behavior must evolve to include machine behavior. What does that look like in practice today? And what changes do you expect next?
Sreejith Sreedharan: Organizational behavior continues to be predominantly human-centric in the current context. Agentic AI is still in its early adoption stage. However, in the next 3 to 5 years, the scenario could change significantly as AI adoption accelerates.
Understanding what both humans and AI can do best, individually and collaboratively, could form the basis of a new framework for Organizational Behavior.
The emergent behavior of agentic AI could pose challenges. The greater challenge, however, goes beyond technological integration; it lies in establishing accountability when AI makes decisions or errors, ensuring human oversight in critical judgments, and aligning these advancements to enhance employee well-being and organizational purpose rather than serving profit alone.
TechTalents Insights: You advocate for leaders cultivating humility, curiosity, and a focus on well-being. How should leadership education evolve to prepare future managers for AI-augmented environments?
Sreejith Sreedharan: Current leadership paradigms will be forced to evolve into a more humane and employee-centric model, rather than a top-down, military-inspired command and control. AI-augmented and empowered employees do not need patronizing leadership behaviors or hierarchical structures. Hence, leadership education must evolve toward models grounded in empathy, curiosity, and collaboration.
In AI-augmented environments, managers must learn to lead empowered teams where decision-making is more distributed and trust-based. Emotional intelligence, ethical reasoning, and human–machine collaboration skills could form some of the core concepts of future leadership paradigms.
TechTalents Insights: In your book, you emphasize that workplaces must adapt to include non-human actors and that organizational behavior must evolve to include machine behavior. What does that look like in practice today? And what changes do you expect next?
Sreejith Sreedharan: Organizational behavior continues to be predominantly human-centric in the current context. Agentic AI is still in its early adoption stage. However, in the next 3 to 5 years, the scenario could change significantly as AI adoption accelerates.
Understanding what both humans and AI can do best, individually and collaboratively, could form the basis of a new framework for Organizational Behavior.
The emergent behavior of agentic AI could pose challenges. The greater challenge, however, goes beyond technological integration; it lies in establishing accountability when AI makes decisions or errors, ensuring human oversight in critical judgments, and aligning these advancements to enhance employee well-being and organizational purpose rather than serving profit alone.
TechTalents Insights: You advocate for leaders cultivating humility, curiosity, and a focus on well-being. How should leadership education evolve to prepare future managers for AI-augmented environments?
Sreejith Sreedharan: Current leadership paradigms will be forced to evolve into a more humane and employee-centric model, rather than a top-down, military-inspired command and control. AI-augmented and empowered employees do not need patronizing leadership behaviors or hierarchical structures. Hence, leadership education must evolve toward models grounded in empathy, curiosity, and collaboration.
In AI-augmented environments, managers must learn to lead empowered teams where decision-making is more distributed and trust-based. Emotional intelligence, ethical reasoning, and human–machine collaboration skills could form some of the core concepts of future leadership paradigms.
Displaying 1 of 1 review