Most boards review the past, but the boards that will govern AI well will spend far more time preparing for the future.
That distinction may become one of the defining characteristics of effective governance in the coming decade.
Historically, board oversight has been built around periodic review. Management develops strategy, executes plans, reports performance, and escalates material risks. Boards provide oversight through meetings, reports, committee structures, and governance processes designed to ensure accountability and long-term stewardship.
That model has served organisations well.
The challenge is that AI is changing the pace, scale, and nature of organisational decision-making.
Decisions that once unfolded over weeks now occur in seconds. Processes that once involved multiple human reviews are increasingly automated. Customer interactions, workforce management, operational planning, and risk assessments are increasingly dependent on systems that continuously learn, adapt, and influence outcomes.
As a result, the governance of AI cannot be approached as another
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