Sunday Reflections on AI: Good Decisions Still Depend on Context

I’m currently studying Deploying AI for Strategic Impact at MIT, and one of the modules has made me reflect on something that feels very familiar.
AI may improve access to answers, but it does not remove an old leadership challenge: making good decisions without a coherent picture of the business context.
In most organisations, the relevant information is spread across strategy decks, financial reports, customer conversations, roadmaps, delivery plans, meetings, and the day-to-day reality of teams.
The challenge is rarely whether the information exists. It is whether it is connected, accessible, and reliable enough to support good judgment.
That is part of what makes AI so interesting.
AI can help summarise, connect information, and surface patterns faster than before. But it also creates a temptation: to treat AI as a shortcut to better decisions.
It can be a very useful tool. But if the underlying data is incomplete, poorly structured, or disconnected from the business context, faster answers do not necessarily lead to better decisions.
I have seen a version of that challenge in practice, long before AI became part of everyday business conversation.
In a previous transformation, I was brought in during a period of significant financial pressure to support a new executive team in creating more clarity across product and engineering.
There was no shortage of activity, initiatives, or information. What was missing was a coherent view of what mattered most.
A big part of the work was therefore not to create more data, but to create more focus, better prioritisation, and stronger alignment between development, commercial priorities, and company strategy.
With all the current AI hype and pressure for speed, the old challenge remains the same.
Better decisions do not come from more information alone. They come from leadership making sense of context, seeing the bigger picture, and turning information into clarity, direction, and momentum.
That is also why I believe AI will be most valuable in organisations that do the hard work of understanding their data, their operating model, and the quality of the context behind those answers.
Technology can help us process complexity.
But leadership is still what turns information into direction.
How do you ensure that AI supports better judgment rather than just faster answers?
Have a great Sunday ☀️
Image credit: ChatGPTThis post was originally published on my LinkedIn page
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