AI is reshaping how work is organised

AI is no longer experimental. It is a structural force that changes how work gets done. As AI embeds itself in daily workflows, tasks shift between humans and autonomous systems. Roles change. Workforce dynamics shift. Organisations that fail to act now risk falling behind in productivity, scalability and long-term capability development.

AI is already embedded in your workflows

AI and automation are not a future trend. They are already active across knowledge work and back-office functions. Tasks are being redistributed between humans and AI systems today. This demands more than applying AI to existing processes. AI is becoming a foundational layer of work that directly affects operating models, workforce strategies and business models. It changes how value is created and sustained.

AI is putting roles and knowledge at risk

As AI automates routine and supporting tasks, its impact on roles becomes impossible to ignore. Junior positions face growing pressure because AI is taking over tasks that once enabled learning, threatening knowledge development, continuity and human expertise. AI will keep displacing certain tasks while creating new forms of work built around human-AI collaboration. The question is no longer whether AI will reshape work. The question is how deliberately your organisation responds.

Turn AI disruption into lasting value

Proactive organisations take concrete steps. They map work at task level, redefine role expectations and embed AI capability as a baseline skill. They establish governance that clarifies accountability between humans and autonomous systems. Critically, they protect learning pathways. Removing routine tasks without redesigning development trajectories undermines long-term capability. Organisations that act deliberately can convert productivity gains into lasting value while protecting human judgement and sustaining knowledge over time.

How is AI changing work in your organisation, and how are you addressing its consequences?

Case – ING

ING has embedded AI as a structural layer across banking activities, including transaction monitoring and wholesale banking. This has changed the task composition within functions, with AI handling standard and low-risk cases while employees focus on higher-risk transactions and more complex decisions. ING has supported this shift through governance and reskilling, resulting in a more scalable operating model in which productivity increases while human judgement remains central to oversight.

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