Contingent Intelligence: Why Artificial General Intelligence Cannot Replicate the Existential Foundations of Human Cognition

This paper questions the widely held belief in artificial general intelligence (AGI) research that computational methods alone can replicate human-level cognition. The main argument is that human intelligence is deeply influenced by our life experiences, awareness of being alive and dying, and our social connections, which cannot be duplicated by machines. This analysis shows that human thinking comes from our special situation as limited, physical beings who exist in the world, which leads to our ability to create meaning, make moral choices, and understand things creatively in ways that computers can't imitate. The paper looks closely at five major challenges: the embodiment problem, the lack of personal experience (qualia), the absence of motivation from knowing we will die, the inability to establish values on their own, and the basic limits of what algorithms can simulate. Rather than pursuing the impossible goal of replicating human beings in machines, this work proposes redirecting AI development toward Artificial Collaborative Intelligence (ACI)—systems designed to augment rather than replace human cognition while preserving human agency and meaning-making capacity. This framework offers a more realistic and ethically sound approach to advancing artificial intelligence that respects both the unique strengths of computational systems and the irreplaceable nature of human contingent intelligence.