OpenAI's ChatGPT has been reshaping scientific research. Amidst both critical discourse and resounding endorsements, this article explores the transformative potential of ChatGPT in empowering scholars to optimize their research efforts. Anticipating a paradigm shift, this article asserts that the future's most influential academics will excel in adapting and harnessing Artificial Intelligence (AI) to delegate routine tasks. This strategic collaboration enables scholars to focus on high-value intellectual activities, signaling a trajectory where the convergence of human creativity and AI support defines the academic landscape. Contrasting prevailing approaches, where academics often find themselves entangled in non-value-added tasks, this discourse envisions a future marked by a departure from such challenges. Our research unfolds in two dimensions: firstly, it discusses high- and low-value intellectual activities in scientific research, and secondly, guides the development of custom software that integrates Python and ChatGPT to elaborate on and automate low-value activities. Acknowledging the complexity of universally defining added value across all academic methodologies, our focus is on systematic literature reviews. This article serves as an origin guide for scholars venturing into the integration of AI into academic research. It empowers academics to reclaim their focus on high-value intellectual endeavors, fostering a future where technology becomes a collaborative tool in advancing academic pursuits.