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1、Semiconductor talent transformation study:Chips,choices,and the AI rushContentsIntroduction 3No.1:Reengineering efficiency:4AIs expanding role in the chip industryNo.2:Humans+machines:Inside the 5new rhythm of semiconductor workNo.3:Firewalls and skill gaps:The twin 6speed bumps slowing AI ambitionN
2、o.4:The human hesitation:7When AI meets ambiguity and concernNo.5:The great chip reskilling:8Building a workforce ready for the AI eraNo.6:The localization illusion:9Why made here still faces a global reality checkFrom insights to action 10Appendix 11Semiconductor talent transformation study:Chips,c
3、hoices,and the AI rush23IntroductionSemiconductor talent transformation study:Chips,choices,and the AI rushArtificial intelligence(AI)is becoming a core driver of how the semiconductor industry operates.The technology is increasingly being used to help revolutionize chip design,manufacturing,and per
4、formance optimization.At the same time,efforts around reshoring and localization have moved from policy discussions to strategic business priorities,as leaders focus on building greater resilience amid ongoing global uncertainty.To chart how the industry is adapting,Deloitte and the Global Semicondu
5、ctor Alliance(GSA)surveyed senior leaders across integrated device manufacturers,foundries,and fabless companies worldwide in the summer of 2025.The result?A mix of momentum and disruption.AI is both an efficiency engine and a strategic edge,and it is being used to help compress cycles,sharpen decis
6、ions,and create new power dynamics inside the industry.And yet,progress may be stalling on the human front.Talent shortages,security fears,and cultural drag remain the sand in the gears.The next wave of competitive advantage in the semiconductor industry will likely be built on the skills,trust,and