随着制造业从大规模生产转向灵活的市场反应，在各个层面都需要赋予员工权力，以便将知识经验重新整合到运营中，这对于面临全球竞争压力的组织至关重要。然而，某些先进技术在这方面的伤害可能大于帮助。通过尝试自动化综合技能，人工智能延续了一种始于科学管理的趋势，这是一套面向大规模生产的实践，往往会降低技能。本文概述了这种方法的缺陷，并提出了经验整合作为替代方案。

AS MANUFACTURING MOVES FROM MASS PRODUCTION TO FLEXIBLE MARKET RESPONSE, WORKFORCE EMPOWERMENT IS NECESSARY AT EVERY LEVEL TO RE-INTEGRATE KNOWLEDGE EXPERIENCE INTO OPERATIONS IS CRITICAL FOR ORGANIZATIONS FACED WITH GLOBAL COMPETITIVE PRESSURES. HOWEVER, CERTAIN ADVANCED TECHNOLOGIES CAN HURT MORE THAN THEY HELP IN THIS RESPECT. BY ATTEMPTING TO AUTOMATE COMPREHENSIVE SKILLS, ARTIFICIAL INTELLIGENCE CONTINUES A TREND THAT BEGAN WITH SCIENTIFIC MANAGEMENT, A SET OF MASS-PRODUCTION-ORIENTED PRACTICES WHICH TEND TO DEGRADE SKILL. THE PITFALLS OF THIS APPROACH ARE OUTLINED, AND EXPERIENCE INTEGRATION IS PROPOSED AS AN ALTERNATIVE.