John Searle’s Chinese Room thought experiment questions whether computers can truly understand anything. Imagine someone who does not speak Chinese but uses a manual to shuffle symbols around, producing answers that seem intelligent to observers, even though the person doing it understands nothing. Searle argues this mirrors how computers operate: they follow syntactic rules without any grasp of semantic content. This critique is directed at strong AI, which claims that a properly programmed machine could literally have a mind, as opposed to weak AI, which aims only to simulate intelligence without genuine cognition. The Chinese Room has sparked an ongoing debate, generating counterarguments such as the systems reply (understanding arises at the level of the whole system) and the robot reply (embodied interaction enables cognition). Other critics point to complexity and emergent properties, arguing that genuine understanding may arise from sophisticated computation. Nevertheless, Searle maintains that computation alone, without intentionality or consciousness, cannot produce real understanding. This chapter examines these debates in the context of contemporary artificial intelligence research, particularly as the field moves toward research in artificial general intelligence (AGI)—hypothetical systems with human-level cognitive flexibility and problem-solving ability across domains. Knowing where computation stops being enough tells us something vital—not just about what AI can do, but about the kinds of questions it throws back at us: what counts as intelligence, what it means to be conscious, and who or what deserves moral consideration.