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PROF. (DR.) HARVINDER SONI<\/strong><\/a><\/p>\n In the contemporary era of Industry 4.0, artificial intelligence can no longer be considered a distant technological evolution that is discussed only in research labs or boardrooms. It has entered our daily organizational life through AI-enabled recruitment tools, chatbots, data dashboards, automated reports, virtual assistants, and generative AI platforms. For students pursuing management education<\/a>, especially PGDM<\/a> students preparing to enter dynamic corporate environments, this raises a valid concern about the value and skills of human beings, as machines are taking over tasks such as data analysis, content generation, resume screening, and routine decision-making<\/a>.<\/p>\n The key lies in developing the capabilities that technology cannot fully replace, rather than competing with technology. These include emotional intelligence<\/a>, ethical judgment, creativity, adaptability, communication, collaboration, leadership, and the ability to understand human behavior in complex organizational settings. This reinforces the need for stronger human intelligence, together with knowledge of AI tools<\/a>, for sustainability and growth in this era of Industry 4.0.<\/p>\n Job disruption will impact 22% of jobs by 2030, with 170 million jobs created globally and 92 million jobs displaced, leaving a net increase of 78 million jobs, as per the World Economic Forum<\/a>\u2019s Future of Jobs Report 2025. The report also highlights that skill gaps remain a major barrier to business transformation and that skills such as creative thinking, resilience, flexibility, agility, leadership<\/a>, and collaboration will continue to be highly significant in the future workplace.<\/p>\n This is completely indicative that knowledge of the functionalities or technical skills is not enough for future managers. They must have a tech-savvy and people-first approach. While AI can help pinpoint employee attrition trends, for instance, the power of listening, empathy, and an organization’s knowledge capabilities are vital to understanding the root causes of employee disengagement. Likewise, job interviews may focus on data screening and selection, but cultural fit, motivation, as well as ethical orientation and leadership evaluation must be based on human judgment.<\/p>\n This is also supported by the research by McKinsey on the future of work in the report ‘A New Future of Work: The Race to Deploy AI and Raise Skills in Europe and Beyond’. According to this report, as many as 30% of the current hours worked could be automated by 2030 under a “midpoint” adoption scenario, driven by the use of generative AI. However, automation will not render human skills redundant. Rather, as routine and repetitive tasks are automated, the need and value of socio- emotional, cognitive, and leadership skills will increase.<\/p>\n For this reason, from an Organizational Behaviour point of view, emotional intelligence is one of the key managerial skills<\/a>. Indeed, Daniel Goleman’s Framework of EI<\/a> (emotional intelligence), comprising self-awareness, self-regulation, motivation, empathy, and social skills, is particularly applicable to the context of an AI-driven workplace. Managers must be emotionally intelligent because they face ambiguity, digital transformation, employee anxiety, hybrid teams and performance pressure, and thus need to have a better understanding of emotions, to manage conflict, build trust, and motivate people during changes, and to achieve the organization’s goals with better people management.<\/p>\n A practical example can be seen in recruitment and talent management. Nowadays, AI-based tools are used by many organizations to scan resumes, match skills with job descriptions, and support hiring decisions. These tools can improve speed and efficiency. However, if they are used without human oversight, they may unintentionally reinforce bias or overlook contextual factors. Therefore, HR professionals must not only understand AI tools but also ensure fairness, transparency, diversity, and ethical decision-making. This also aligns with HR concepts such as equal opportunity, employer branding, diversity and inclusion, and employee trust.<\/p>\n Another important human skill<\/a> in the age of AI is adaptability. Deloitte\u2019s 2026 Global Human Capital Trends report argues that traditional change management and training approaches may be too slow for the current pace of transformation. The report notes that AI is reshaping the way workers learn, adapt, and apply new skills directly in the flow of work, making continuous learning a key organizational priority. For future managers, this means that learning cannot stop at the completion of a degree. The ability to unlearn, relearn, and apply knowledge in changing contexts will become a major career differentiator.<\/p>\n The concept of psychological safety is also central to this discussion. In AI-driven organizations, employees may experience anxiety related to job security, surveillance, performance tracking, or being replaceable. It has been found that 75% of the global workforce of knowledge workers has already adopted Generative AI for their professional life. It also noted that while many leaders were still working towards establishing a clear AI strategy in their organizations, many employees were already bringing their own AI tools to work (Microsoft & LinkedIn<\/a>, 2024).<\/p>\n This shows that technology adoption is not merely a technical issue; it is also a behavioural and cultural issue. Managers must create psychologically safe workplaces where employees can discuss concerns, ask questions, experiment with new tools, and learn without fear. Amy Edmondson\u2019s concept of psychological safety is particularly relevant here. Teams perform better when members feel safe to speak up, admit mistakes, and share ideas. In the age of AI, such safety becomes essential for innovation, learning, and responsible technology adoption.<\/p>\n Leadership, too, will need to evolve. Future managers cannot merely be controllers of tasks. Instead, the manager must become a coach, facilitator, ethical decision-maker, and change leader. AI can provide insights, but leaders must interpret those insights responsibly. AI can improve productivity, but leaders must ensure that productivity does not come at the cost of employee well-being. AI can help redesign work, but leaders must ensure that employees are not treated merely as data points.<\/p>\n This is where HR and OB concepts hold special significance. The various theories of motivation remind us that employees are driven not only by pay, but also by recognition, autonomy, purpose, growth, and belongingness. Leadership theories such as transformational leadership highlight the importance of vision, inspiration, intellectual stimulation, and individualized consideration. Change management concept<\/a>s emphasize communication, participation, trust, and readiness. These ideas remain highly relevant in the contemporary context because technology may change work processes, but human behaviour continues to shape organizational outcomes.<\/p>\n For management institutions such as JIMS Kalkaji<\/a>, this changing reality has an important implication. Business education and PGDM programmes<\/a> must prepare students not only for current job roles but also for future roles that are still emerging. Classroom learning should therefore combine conceptual understanding with experiential methods such as case discussions, simulations, presentations, group work, live projects, role plays, and reflective exercises. These pedagogical approaches help students develop communication, collaboration, decision-making, conflict management, and leadership skills.<\/p>\n Hence, learning AI tools is important, but employability in the future will require much more than technological familiarity. A future-ready manager must be analytically strong, emotionally mature, ethically grounded, and socially effective. In the present environment, the most successful professionals will be those who can work with machines while leading people with empathy, clarity, and responsibility.<\/p>\n Artificial Intelligence will continue to transform workplaces, but it will not reduce the importance of human skills. In fact, it will make them more visible and valuable. As organizations become more digital, the need for trust, creativity, judgment, collaboration, and leadership will only increase. The future of management will belong not to those who choose between technology and humanity, but to those who can integrate both. For PGDM students and future managers, the real challenge is not merely to understand AI but also to remain deeply human in an increasingly intelligent workplace. This is where quality management education plays a crucial role in preparing industry-ready professionals who can integrate technology with human values.<\/p>\n","protected":false},"excerpt":{"rendered":" PROF. (DR.) HARVINDER SONI In the contemporary era of Industry 4.0, artificial intelligence can no longer be considered a distant technological evolution that is discussed only in research labs or […]<\/p>\n","protected":false},"author":1,"featured_media":2671,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[16],"tags":[],"_links":{"self":[{"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/posts\/2670"}],"collection":[{"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/comments?post=2670"}],"version-history":[{"count":1,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/posts\/2670\/revisions"}],"predecessor-version":[{"id":2675,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/posts\/2670\/revisions\/2675"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/media\/2671"}],"wp:attachment":[{"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/media?parent=2670"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/categories?post=2670"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.jagannath.org\/blog\/wp-json\/wp\/v2\/tags?post=2670"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/www.jagannath.org\/blog\/wp-content\/uploads\/2026\/08\/human-skills-in-the-age-of-ai.png\")
<\/p>\nThe Workplace Is Being Rewritten<\/strong><\/h2>\n
Beyond Technical Know-How<\/strong><\/h2>\n
Emotional Intelligence and Ethical Use of Technology<\/strong><\/h2>\n
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<\/p>\nAdaptability as a Career Advantage<\/strong><\/h2>\n
Psychological Safety in AI-Led Change<\/strong><\/h2>\n
Leadership That Keeps People at the Centre<\/strong><\/h2>\n
What This Means for Management Education<\/strong><\/h2>\n
Closing Reflection: Staying Human in an Intelligent Workplace<\/strong><\/h2>\n