In our conversations with SAP hiring managers and C-suite leaders across the DACH region, one theme dominates: the gap between AI promise and AI payoff. Everyone knows productivity gains are coming. The uncertainty lies in the timing and distribution of those gains.
What We’re Hearing on the Ground
From our SAP practice, we’re seeing organisations take three distinct approaches. Some are aggressively hiring AI-adjacent SAP talent now, betting that early capability-building will compound. Others are holding steady, waiting for clearer ROI signals before committing headcount. A third group—often the most pragmatic—is upskilling existing teams while selectively adding specialists in areas like SAP Business AI and Joule integration.
The interesting pattern we’ve noticed: companies that hired AI-capable SAP professionals 12–18 months ago are now reporting tangible efficiency improvements in implementation timelines and support ticket resolution. Those who waited are finding the talent pool considerably tighter.
Regional Dynamics Matter
The DACH region presents a particular challenge. The engineering rigour that makes German organisations excellent at SAP implementation can also slow AI adoption. We see this in hiring briefs that still prioritise traditional SAP functional expertise over AI fluency. In our view, the organisations that blend both skill sets will capture disproportionate productivity gains.
The question isn’t whether AI will transform SAP work—it’s whether your talent strategy is positioned to benefit when it does. From what we’re seeing, the window to build that capability is narrowing faster than many realise.
Prompted by reporting from SAP News Centre.