Most discussions about AI focus on technology: which models, tools, use cases, and agents.
While those questions matter, organisations should also consider how work design evolves as intelligence becomes cheaper, faster, and more integrated into workflows.
AI can already summarise information, generate options, analyse data, draft content, assist decisions, automate tasks, and coordinate complex processes. As these capabilities advance, roles will shift, and organisational structures will adapt.
Some coordination that now requires meetings might occur through systems. Decisions that currently ascend to leaders due to information gaps could be delegated closer to teams. Specialist knowledge may become more accessible, and roles may focus less on producing information and more on interpreting, challenging, and acting on it.
This impacts organisational hierarchy, which has traditionally managed information and coordination. AI alters the economics of both but doesn’t eliminate hierarchy. Instead, some reasons for existing structures may weaken.
Teams might need new skills, managers could focus more on shaping context, experts might become force multipliers rather than bottlenecks, and governance will need clear distinctions between decisions that can be augmented or automated and those needing human accountability. Leaders must clarify where human judgement remains critical.
Introducing AI into existing workflows without reexamining those workflows risks accelerating dysfunction, especially if decisions are slow, dependencies are high, and accountability is unclear. Conversely, the opportunity is significant: organisations can redesign work around AI strengths, human skills, and their combined potential.
This is fundamentally an organisational design challenge and could become one of the most crucial leadership questions in the coming years.