Adopting GenAI in Project Management: The 3 Levels Leaders Must Keep Aligned
Generative AI (GenAI) has evolved quickly from a novelty to a critical organizational capability. Tools built on large language models now support requirements drafting, estimation, reporting, risk sensing, and software delivery across project initiation, planning, execution and control. Its diffusion has been rapid: GenAI could add between US$2.6 and US$4.4 trillion in annual economic value (according to a 2023 McKinsey report), with ChatGPT alone exceeding 800 million weekly users by 2025, representing a significant share of economic activity.
Much of the project management conversation still treats GenAI as a productivity tool: install it, and efficiency follows. Outcome metrics matter, but they give only a partial account of what happens when generative systems enter project work. They do not explain how governance structures, project processes and professional roles are reconfigured along the way.
In a study published in the Project Management Journal (Huzooree, 2026), 35 articles from 2022 to 2025 were reviewed through sociotechnical systems (STS) theory, which holds that an organization performs well only when its social and technical subsystems are jointly optimized. The central finding is that GenAI adoption depends on sustained alignment across three levels of project work, rather than on isolated technological enhancement (Figure 1).
The framework sets out …
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"When a stupid man is doing something he is ashamed of, he always declares that it is his duty." - George Bernard Shaw |
