德勤：2026 AI原生劳动力：工程与产品价值链中的工作与技能未来研究报告（英文版）（32页）.pdf

1、AI-native workforce:Future of work and skills in engineering and product value chainFebruary 20262AI-native workforce:Future of work and skills in engineering and product value chainAI-native workforce:Future of work and skills in engineering and product value chain3Table of contentsExecutive summar

2、y 4New rules of technology talent 5Evolution of software engineering roles 8Evolution of product management roles 17Emerging skills of the future 20Organisations must be READY to embrace this change 23Executive summary The technology landscape is undergoing a structural transformation driven by two

3、converging forces:The maturity of Generative AI(GenAI)into“agentic”workflows and the stabilisation of hybrid work models.Software engineering is transitioning from a discipline of creation to one of orchestration,and product management evolves from coordination to strategic acceleration.Current data

4、 indicate that GenAI tools can improve new product development times by 50 percent and significantly accelerate software development tasks,with productivity gains of 3040 percent witnessed in engineering teams.However,realising this value estimated at 7 percent of global GDP7 requires organisations

5、to look beyond automating individual tasks and redesign entire workflows,develop skills and reimagine talent and leadership to accommodate human-agent collaboration.We have moved past simple code completion.The future workforce will be a collaboration of people,agents and robots.It is suggested that

6、 while 52 percent of worker tasks in the US could be completed faster with the same level of quality with the available technology;the goal is augmentation rather than displacement.1,6 AI agents are becoming“virtual coworkers”capable of planning and executing multistep workflows,such as migrating le