In this episode, we explored the challenges facing sustainable organizations of the future and the role of artificial intelligence in organizational development. Viktor L\u00e9n\u00e1rt and Katalin Szomol\u00e1nyi discussed why postponing AI integration may create an irreversible competitive disadvantage and why organizations need to fundamentally redesign their processes instead of merely layering automation onto existing workflows. They examined how leadership roles are changing, why new positions such as the AI Officer are becoming essential, and why providing human context to machines is critical for effective collaboration.<\/p>\n
The conversation also addressed the synergies emerging from intergenerational collaboration, where experience and technological expertise meet through mentoring and reverse mentoring, as well as the importance of integrating neurodivergent employees into the workplace. Finally, they discussed why continuous hands-on experimentation with AI is indispensable and why leaders must deliberately allocate time and resources for learning\u2014even when that learning involves frustration.<\/p>\n
This episode explores the emergence of more autonomous learning organizations, the development of harmonious collaboration between humans and intelligent machines, and why systems-level human thinking will remain the most important leadership capability in the age of algorithms.<\/p>\n
KS:<\/strong> VL:<\/strong> As long as one company manages its information in spreadsheets or simple databases, an AI-enabled competitor will already have a system that transcribes conversations on the way back from a client meeting, automatically updates the CRM, and prepares the contract before the employee even returns to the office. That gap can no longer be closed through human effort alone.<\/p>\n KS:<\/strong> VL:<\/strong> AI enables us to accomplish things that were previously impossible. In the past, integrating the results of a 360-degree leadership assessment with an organizational climate survey and the company’s strategic objectives required an enormous amount of manual work. Today, AI can analyze these massive datasets simultaneously, allowing us to identify exactly where interventions are needed and which leaders or teams should be developed to support strategic priorities.<\/p>\n KS:<\/strong> VL:<\/strong> For AI to become a constructive force rather than a destructive one, its implementation cannot be treated merely as an IT project. It must be approached as a comprehensive organizational development and change management initiative. Organizations need to rethink how they operate from the ground up and create new roles, such as the AI Officer<\/strong>, whose responsibility is to orchestrate the integration of technological and human capabilities while ensuring that employees come to view AI not as a threat, but as a collaborative partner in thinking and problem-solving.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n Viktor L\u00e9n\u00e1rt began his career as a Lutheran pastor and has since become one of Hungary\u2019s leading experts in organizational and leadership development. Following his work at the GROW Group, he founded\u00a0Zero Emission Leadership (ZEL), where he serves as CEO, and is also Head of Leadership Development at the\u00a0Forbes Business Club. With 27 years of experience in human development, he is dedicated to helping organizations build healthier, more sustainable leadership cultures. The name\u00a0Zero Emission Leadership\u00a0reflects this mission: creating leadership practices that do not waste human energy or generate unnecessary \u201cemissions\u201d within organizations.<\/p>\n<\/div>\n KS:<\/strong> VL:<\/strong> Moreover, for the first time in history, a technology is becoming embedded in our daily lives that does not merely function as a tool but is capable of making decisions. Humanity has never before had to adapt to this combination of pressures, and we are not yet adequately prepared for it.<\/p>\n KS:<\/strong> VL:<\/strong> When these two forms of knowledge come together, and organizations cultivate both mentoring and reverse mentoring, the resulting synergy can become a powerful driver of organizational transformation.<\/p>\n KS:<\/strong> VL:<\/strong> Because AI operates statistically\u2014it does not think about what is essential\u2014the leader’s primary responsibility will be to maintain systems thinking and provide the precise context that artificial intelligence requires. Equally important, leaders must learn to tolerate the inevitable frustration that accompanies experimentation with intelligent machines, while ensuring that their teams are given both the time and the resources necessary for continuous learning.<\/p>\n<\/div>\n<\/div>\n<\/div>\n
Many organizations are still taking a wait-and-see approach to AI, saying they’ll address it in a year or two. How risky is this delay?<\/p>\n
Using artificial intelligence is no longer optional\u2014it has become a necessity. Organizations that fail to adopt it will soon be unable to remain competitive. What currently appears in the market as hesitation or cautious observation will arrive like a tsunami around 2027\u20132028. Companies that postpone engaging with AI for two years will fall irreversibly behind.<\/p>\n
How should organizations use AI in organizational development and everyday operations? Is it enough simply to perform existing tasks more quickly?<\/p>\n
That is precisely one of the biggest mistakes. Many organizations simply add AI as another layer on top of existing processes, believing that they are now analyzing Excel spreadsheets faster. The real value of AI is not automation itself but augmentation\u2014the expansion of human capabilities.<\/p>\n
Many people fear dehumanization\u2014that machines will replace their jobs or undermine human relationships at work. How can organizations introduce AI without damaging their culture?<\/p>\n
If we simply insert AI into old processes, we really do risk dehumanizing the workplace. Employees will naturally feel that the technology is there to replace them and eliminate their roles.<\/p>\n![](\"https:\/\/www.fenntarthatofejloves.net\/wp-content\/uploads\/2026\/07\/Lenart_Viktor_interju_foto_Gordon_Eszter_3.jpg\")
<\/div>\nViktor L\u00e9n\u00e1rt<\/h3>\n
In this rapidly changing, technology-driven world, how can organizations foster psychological safety? What new forms of stress are employees facing?<\/p>\n
People are experiencing rapidly increasing uncertainty because they are being exposed to multiple, unprecedented sources of stress simultaneously. There is technological stress\u2014such as FOMO, the fear of falling behind\u2014alongside existential anxiety about the future of work. These pressures are compounded by geopolitical tensions, climate-related concerns, and the personal stresses of everyday life.<\/p>\n
You also mentioned generational differences. How can different generations\u2014for example, younger people who have grown up alongside digital technologies and more experienced colleagues\u2014work together successfully in this environment?<\/p>\n
There is enormous potential in connecting generations. Younger employees, who have effectively grown up with these technologies, bring exceptional digital fluency. At the same time, professionals in their thirties, forties, and fifties possess the business experience and organizational context that allow them to immediately recognize how a new AI capability can solve real business problems.<\/p>\n
Looking ahead to 2030, what will be the most essential competencies for senior leaders in the age of algorithms?<\/p>\n
The ability to learn will become dramatically more important than ever before. Leaders will need to dedicate one or two hours every day to hands-on experimentation so that they develop a first-hand understanding of both the possibilities and the limitations of AI.<\/p>\n