Shifting AI from activity to outcomes in the year ahead

To justify rising costs, businesses must shift their focus from tracking mere AI usage to measuring tangible business outcomes like revenue growth and cost savings. This transition requires prioritizing foundational work, such as ensuring data readiness, building observability for autonomous agents, and consolidating fragmented data platforms. Ultimately, the goal is to move from a phase of experimentation toward a period of disciplined AI accountability and human-technology collaboration.