CREDIT: HEXAGON
“ That’ s why, at AWS, we’ ve been focusing on the infrastructure, security and portfolios of services, silicon, models, partners and more, so that our customers can act in real time.”
Yet raw speed is only half the equation. Cormac sees the industry maturing toward a clearer balance between automated power and human judgment:“ My prediction is that 2027 will be the year we get much clearer about what AI is good at, and, just as importantly, what it isn’ t. As AI moves from experimentation into everyday use across more industries, the conversation will shift from what the technology can do to where it genuinely adds value. We’ ll see a more mature division of labour emerge: AI taking on tasks that benefit from speed, scale and the ability to process huge amounts of information, while human experience, judgement and contextual understanding become more clearly defined and valued. There’ s a phrase from Amazon CEO Andy Jassy that captures this well:‘ there is no compression algorithm for experience.’ Reading a map is not the same as walking the terrain.” aimagazine. com 107