Artificial intelligence has moved from a technology pilot to a board-level question. Executives now need to explain not only what a model can do, but how it changes workflows, risk controls and the economics of a business.
The next stage will favour companies that connect tools to clearly defined outcomes and invest in the people who use them.




The supply-chain angle is the part I would keep watching. Freight costs can move through the economy long before they are obvious in consumer data.
The refinery disruption matters most when spare capacity is already thin. The interaction between crude, refining margins and transport costs is the key context here.