The article highlights the growing prominence of artificial intelligence (AI) and machine learning in various sectors, pointing out that their rapid adoption, exemplified by the public's embrace of tools like ChatGPT, does not ensure efficiency gains on its own. It argues that the potential of these technologies is fully realized only when data and information are leveraged to enhance processes, initiatives, and policies across both businesses and government. This is particularly crucial in the context of the energy transition, where intelligent use of technology can support sustainable development and efficiency.

The author provides two concrete examples to illustrate this point. The first example pertains to the electrification of mobility and its effects on distribution networks. With the increasing penetration of electric vehicles (EVs) globally and particularly in Brazil, where actual numbers exceed official estimates, it is evident that these vehicles are becoming more commonplace on the streets. The article notes the growing presence of both electric cars and two-wheelers, alongside plans for the electrification of bus fleets and cargo transport vehicles. However, the author stresses that the method of implementing this transition holds significant importance for its success.

Overall, the piece suggests that while the advancements in EVs are promising for reducing carbon footprints, without careful planning and integration into existing energy systems, the benefits may not be fully realized. Therefore, stakeholders in the energy transition must prioritize intelligent data-driven strategies to ensure the effective utilization of technology in achieving a sustainable and efficient energy future.