‘The more sophisticated our tech becomes, the more human we need to be’
Gina London explores how AI training and skill development should not be viewed as competing investments Read more: ‘The more sophisticated our tech becomes, the more human we need to be’
In the age of artificial intelligence, it is easy to become so focused on leveraging AI and automating tasks that we inadvertently neglect fundamental human skills like critical thinking, communication, and research. Gina London, a CEO, leadership strategist, author, and former CNN anchor, warns that reliance on AI to craft presentations, for instance, can cause a disconnect between leaders and their teams.
While polished and well-structured, such presentations fail to engage colleagues, as the human element is absent. London emphasizes that communication transcends mere information transfer; it's about creating an experience for others. She underscores the importance of empathy, curiosity, and active listening, which AI cannot replicate.
While acknowledging that AI performs complex reasoning now, London stresses that human reasoning and humanity are not equivalent. AI lacks a 'human soul,' making it unable to fully grasp the consequences, weigh competing priorities, and shoulder responsibility for decisions. Organizations that fail to balance AI and human-centric skills risk becoming efficient but ineffectual in communication.
This could lead to a repetitive, chatbot-like communication style and weaken employees' own capabilities, potentially harming innovation, relationships, and decision-making. London suggests viewing AI training and human skills development as complementary rather than competing investments. Employers should teach staff not only how to use AI but also how to evaluate, question, and communicate its outputs effectively.
Moreover, protecting genuine conversations and identifying which workplace elements require automation versus those that don’t is crucial. London believes there is a chance to leverage automation to make us better prepared personally, rather than less engaged. AI can boost productivity, but the challenge lies in ensuring it doesn't make us less personally connected.
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