The Human System Friction
Across boardrooms, AI is still discussed primarily through the lens of technology, models, integrations, infrastructure, speed. Yet in practice, most organizations are discovering something quieter and more complex:
AI adoption has started to become more than a technology problem, & it is going to inevitably affect the human systems.
The friction sits inside institutions, organisations in unclear decision rights, & what we call is a C suite unresolved anxieties, misaligned incentives, and communication gaps. Imagine hyper acceleration while resisting intelligence systems, and worse still learning it & its side-effects.
But, well! It is this ambiguity that also brings in the greater tech change, while what remains human-led, and where responsibility sits stands dormant/ merely a question.
If AI adoption is to be sustainable, the work must begin with people.
Human-centred adoption requires structural clarity & it is need of the hour to reframe organizations moving successfully with AI, or integrating them, so doing a few things differently can accelerate the outcome for all & not at their cost. Time for some real governance as compliance & designing it as stewardship.