The post argues that AI, particularly large language models, is not cost-effective compared to human capabilities, citing the high energy consumption and inefficiencies in AI performance. It highlights the vast resources required for AI training and contrasts this with human learning capabilities, suggesting that AI may not be the reliable future technology it promises to be.