22/10/2026
𝗧𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝗽𝗹𝗲𝗻𝘁𝘆 𝗼𝗳 𝗽𝗹𝗮𝗰𝗲𝘀 𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗲 𝘂𝘀𝗲𝗱. 𝗧𝗵𝗮𝘁 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗺𝗲𝗮𝗻 𝗶𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲.
When the conversation starts with the technology, it’s easy to find a use case for it.
The more useful starting point is the problem.
What are we actually trying to improve? What would a better outcome look like? And does AI offer a meaningful advantage over a simpler approach?
Because choosing AI isn’t only an implementation decision. It can affect how a product handles data, reliability, cost and ongoing maintenance.
That doesn’t make AI less relevant. It makes being intentional about where and why we use it more important.
The goal shouldn’t be to find a place for AI. It should be to find the right approach to the problem.
Where have you seen AI add genuine value to a product or process?
