1、IBM Institute for Business Value|Research BriefThe mainframe advantageWorkload placement and execution decisions for missioncritical systems in the AI eraContents Introduction Mainframe makes a comeback.5Part one Intelligent execution:revisiting cloud-first assumptions.7Part two Production economics
2、:governing cost in operational execution.10Part three AI trust:No trade-offs allowed.12Action guide Five moves leaders must make now to anchor AI in mission-critical systems .152The mainframe advantageIntroductionCloud-first assumptionsCloud versus mainframeNo trade-offs allowedAction guideAs AI sca
3、les into production,enterprises are re-evaluating where their most critical workloads should runincluding which workloads are best suited for the mainframe and which should go on public cloud and distributed platforms.Rising cost volatility,tightening regulatory and sovereignty expectations,and esca
4、lating resilience requirementsnow magnified as AI moves into production executionare accelerating a shift away from“cloud-first”thinking toward more deliberate workload placement based on architecture and economics.In this context,our research shows that the mainframe plays a central role in deliver
5、ing secure,cost-effective intelligence at scale.For leaders,the question is no longer“Where can we run AI?”,but“How do we bring AI to the applications and data where missioncritical execution occurs?”This brief gives CIOs,CTOs,enterprise architects,and infrastructure leaders clear,data-backed eviden
6、ce on where mission critical workloads are being placed,why those decisions are changing,and how mainframe platforms are gaining renewed strategic relevance.ForewordWhat every technology leader needs to knownow AI raises the stakes:when critical work runs,failure is no longer acceptable.Enterprises