Gpt 5,6,7: Does it even matter? The (ghost) productivity question. [D]
Although `GPT-5` and similar models have the ability to handle large amounts of knowledge-based work, no significant productivity gains have occurred in real-world economies. The article points out that although these systems can write, program, analyze documents, and solve complex problems, GDP growth, per capita output, and organizational efficiency have not improved significantly. The bottleneck lies not in the intelligence of the models, but in organizational and institutional constraints such as verification responsibilities, compliance regulations, trust mechanisms, legacy software, and slow changes in human institutions. The author emphasizes that technical capabilities and economic substitution are not the same thing; just as the widespread use of the Internet did not immediately replace traditional media and government offices, AI cannot instantly replace jobs that require complex collaboration and human judgment.