The discussion surrounding artificial general intelligence (AGI) has gained significant traction, particularly among employees of major tech companies like OpenAI and Google DeepMind, who often assert that the development of AGI is inevitable. However, researchers from Radboud University and other institutions challenge this notion, presenting evidence that suggests the realization of AGI is not only unlikely but fundamentally impossible. Their findings, published in the journal *Computational Brain & Behavior*, highlight the complexities and limitations inherent in replicating human-level cognition through artificial means. Iris van Rooij, the lead author and a professor of Computational Cognitive Science at Radboud University, argues that while some theorists believe AGI could be achieved in principle, this belief does not translate into practical feasibility. The researchers emphasize that pursuing AGI is a misguided endeavor that squanders valuable resources. They propose a thought experiment in which AGI development occurs under optimal conditions, with access to perfect datasets and advanced machine learning techniques. Despite these ideal circumstances, the researchers conclude that there is no viable method to achieve the cognitive capabilities that tech companies promise. The paper elaborates on the inherent challenges of replicating human cognition, which involves complex processes such as memory recall and contextual understanding. Van Rooij illustrates this by explaining how humans can seamlessly integrate knowledge from various points in time during conversations, a feat that current AI systems cannot replicate. Olivia Guest, a co-author and assistant professor, adds that the computational power required to create AGI would deplete natural resources long before reaching the necessary capabilities. The collaboration among researchers from various universities underscores the importance of interdisciplinary approaches in understanding AI. The team advocates for critical AI literacy, emphasizing the need for the public to develop a nuanced understanding of both human cognition and AI capabilities. They warn against the tendency to overestimate what AI can achieve while underestimating the complexities of human thought processes. Van Rooij stresses the importance of skepticism towards the promises made by tech companies, urging individuals to apply critical thinking to claims about AI advancements. In summary, the researchers at Radboud University present a compelling argument against the inevitability of AGI, highlighting the significant cognitive challenges and resource limitations that make such advancements unlikely. They call for a more informed public discourse on AI, encouraging critical evaluation of the technology's capabilities and the motivations behind its promotion by the tech industry.