Tencent Research Institute article outlines five paradoxes of artificial intelligence
A commentary by Tencent Research Institute senior expert Yan Deli argues that artificial intelligence is advancing through a set of unresolved paradoxes rather than along a clean, linear path. The piece identifies five of them: forecasting, quantifying AI’s effect on jobs, the productivity puzzle, the mismatch between data’s strategic importance and its balance-sheet value, and the tendency to label each new wave of technology as the start of a new industrial revolution. The article revisits well-known AI forecasts from figures including Marvin Minsky, Geoffrey Hinton and Demis Hassabis, noting how predictions have repeatedly proved either premature or impossible to verify in real time. It also compares labor-market studies from institutions such as the OECD, IMF, World Economic Forum, World Bank, Goldman Sachs, McKinsey and Pew, saying their estimates vary so widely that they are hard to compare directly. Yan also points to weak productivity readings in the European Union after the launch of ChatGPT, contrasting them with stronger but still historically average U.S. figures, and argues that data remains difficult to price or monetize despite its central role in AI systems. The final section questions the repeated use of “the Fourth Industrial Revolution” to describe technologies ranging from microelectronics and the internet to blockchain, quantum computing and AI.








