Abstract: The technological revolution triggered by artificial intelligence is reconstructing the global employment ecosystem in a systematic and nonlinear way, and traditional paradigms have become difficult to explain the complex dynamics. This paper innovatively integrates C.S. Holling's ecological resilience theory with empirical research, taking the cross-scale dynamics of "adaptive cycles" and "panarchy theory" as the core analytical framework. It combines 405 multi-industry questionnaire responses, in-depth interviews with 40 policymakers, industry practitioners, and experts and scholars to systematically analyze the dual impact of AI on the employment ecosystem. Research has found that AI is both a "disintegrator" of traditional jobs and an "enabler" of new forms of employment. The core contradiction currently faced by the employment ecosystem is reflected in the shortcoming of resilience, namely, the intensification of structural unemployment, the lag in skill reorganization, and the multi-scale cycle mismatch, etc. Based on this, this paper proposes a resilience construction framework for the employment ecosystem that includes "perception-resilience-empowerment", aiming to promote the transformation of the employment ecosystem from "engineering resilience" to "ecological resilience" through cross-scale collaborative intervention, and achieve the goal of high-quality and full employment.