Short-Term Collaboration Over Long-Term Panic: AI's Job Impact Far From Critical Point

IT Home reported on July 23 that Anthropic's Chief Economist Peter McCrory explicitly stated that AI has not yet replaced a large number of jobs because human-AI collaboration yields better results than full replacement. Meanwhile, American billionaire Mark Cuban even believes this state of "collaboration over replacement" might never change. These two judgments seem conservative, but they reflect the real bottlenecks facing current AI implementation: low technology penetration, fragmented application scenarios, and high replacement costs. I previously thought knowledge service industries would face structural shocks, with layoffs being just the beginning, but after recently diving deep into industry data and corporate practices, I've found that the actual impact of AI on employment is far from reaching a critical point.