A KPMG survey finds that 89% report measurable value from AI, but only 12% consistently assess that value against its cost. The figures raise a question: what can organizations conclude about AI economics if costs and benefits are not compared consistently? Microblog @antgrasso In its Global AI Pulse Q3 2026, KPMG reports that 61% review AI costs during approval and 59% monitor them once systems are running. Consider an AI application that processes supplier invoices. The finance team may know how much it costs each month. But how much time does it save once the manual corrections are taken into account? Without that comparison, deciding whether to expand the application is harder. Among organizations reporting established ROI, KPMG finds that 48% consistently compare AI value with cost. Financial control tells an organization what it spends. Connecting cost to results helps it decide whether further investment makes sense. #AIEconomics #AIManagement

AI adoption does not automatically build trust. With 30% of Americans worried about its pace of development, leaders need to make AI's value tangible: show measurable results, explain its limits, and make human accountability clear. Source @StatistaCharts via @antgrasso

The next tech advantage won’t come from AI alone. It will come from the ability to turn it into the physical world—through energy, chips, infrastructure, talent, and operating models built to make innovation work at scale. @McKinsey Link buff.ly/WBTnQUb via @antgrasso