Business leaders play a critical role in company operations. In this scenario, AI is not just an automation tool but a catalyst for change. McKinsey studies indicate that companies adopting AI strategically grow up to 50% faster than competitors resistant to change. PwC estimates that AI will add $15.7 trillion to the global economy by 2030. Therefore, it’s necessary to understand AI’s impacts on organizational culture and anticipate disruptions.
Daniel Kahneman, Nobel Prize winner in Economics, demonstrated in his studies on cognitive bias that we resist the new due to self-preservation instinct, even when benefits are evident. Antonio Damasio, renowned neuroscientist, explains that decisions are driven by emotions before reason even comes into play. Without requalification in leadership to understand these mechanisms, fear of change will be our greatest enemy.
The use of Artificial Intelligence is transforming industries, challenging management models, and redefining the very essence of work. Understanding AI isn’t enough – we must comprehend how to lead in a world where machines expand human decision-making capacity. Behavioral neuroscience studies indicate that fear of change activates brain areas related to survival instinct, while curiosity and continuous learning activate the prefrontal cortex, responsible for strategic thinking.
“In the past, leadership meant possessing knowledge and making decisions based on experience and intuition. Today, it means knowing how to interpret data, identify patterns invisible to the human eye, and above all, ensuring technology becomes an ally to business strategy rather than a replacement for human intelligence. The true value of AI lies in making your company more efficient, with excellence and without wasting time on operational processes that could be automated,”explains Evandro Lopes, Neuroscience specialist and CEO of SLComm.
Companies like Amazon and Google have already proven that AI isn’t a differentiator but a necessity. At Amazon, with AI integration, it became possible to program AI algorithms to analyze consumer behavior and offer personalized recommendations. Google, through its RankBrain, managed to classify search results and understand user intent. On the other hand, Kodak and Blockbuster are examples of organizations that ignored disruption signals and paid the price of stagnation.
AI isn’t about stacking technologies, but about understanding processes, identifying bottlenecks, and redefining workflows to integrate more intelligence with human capability. The true value of AI lies in making your company more efficient, with excellence and without wasting time on operational processes that could be automated.
