ERP vendors can ship AI features faster than customers can absorb them. SAP’s Learning Week and shift to open-book, scenario-based certification point to a wider enterprise problem: AI value now depends on whether teams can apply, govern, and trust new capabilities inside live business processes.
SAP is putting AI at the center of enablement and pairing that push with a quietly significant change to how certification itself works. With generative AI features arriving across the SAP portfolio faster than most teams can absorb, the move treats skills not as a training-department line item but as a strategic constraint to be expanded.
The most structurally interesting change is to certification. SAP has shifted to an open-book, scenario-based exam format, moving away from rote memorization toward testing whether candidates can apply knowledge to real-world problems using the resources at hand. That sounds like a procedural tweak. It is actually a statement about what SAP thinks competence means in the AI era, when syntax recall matters less than knowing how to solve a problem.
SAP Reframes Skills Around Applied AI
Three threads define the current enablement push. The first is the AI Adoption and Learning Week, which will take place this year from July 6 to July 9. It is a focused program designed to build AI competence across the SAP community, signaling that AI skills are no longer optional specializations but baseline expectations. The framing treats AI fluency as something every SAP professional needs, not just a niche in data science.
The second is access. SAP has been expanding entry points into SAP Learning Hub, including a free student edition in India aimed at widening the talent pipeline at the earliest stage. Growing the base of people who can work in SAP at all is a direct response to a skills shortage that slows every transformation program.
The third is the open-book, scenario-based certification format, which tests applied problem-solving rather than memorization. For employers, a certification that reflects practical capability is more useful than one that confirms someone crammed for a multiple-choice test. Together, these moves point to a single goal: more SAP professionals who can actually do the work, faster.
Skills Gap Starts to Slow ERP AI Adoption
The skills gap is the silent tax on SAP transformation, and the data makes it tangible. According to SAPinsider’s AI Adoption and Maturity in the SAP Enterprise benchmark, 91% of organizations are using AI at some level, yet only 17% have embedded it in core workflows. That 74-point gap is, in large part, a capability gap. The tools exist; the people who can operationalize them are scarce.
The momentum behind SAP’s AI copilot underscores the need. SAPinsider’s ERP Migration and Transformation 2026 report found that plans to adopt Joule rose more than 40% year over year. Every organization adding Joule and other AI features needs people trained to configure, govern, and trust them, which is exactly the competence SAP’s Learning Week targets.
The migration itself amplifies the demand. The same report found that 55% of organizations have deployed S/4HANA or SAP cloud but only 34% have fully transitioned. The unfinished majority needs skilled hands for the work ahead, and a thinning talent pool makes enablement a board-level concern, not a training-department line item.
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What This Means for ERP Insiders
ERP leaders need to fund AI skills as transformation infrastructure. AI enablement cannot sit outside the migration or modernization budget when ERP roadmaps now depend on copilots, agents, automation, and embedded intelligence. CIOs and transformation sponsors should tie training plans directly to the AI capabilities they expect teams to configure, govern, and use in production.
Employers should hire for applied problem-solving. SAP’s move to open-book, scenario-based certification reflects a broader shift in enterprise technology work, where memorizing syntax matters less than knowing how to solve real business problems with the right tools. HR, talent, and IT leaders should update competency models to reward practical delivery, judgment, and governance awareness over credential volume alone.
ERP teams need a wider talent pipeline. The shortage of experienced AI-ready ERP professionals will not be solved by competing for the same senior consultants. Enterprises should use low-barrier learning programs, university partnerships, early-career hiring, and structured mentorship to build practitioners who can support AI-enabled finance, supply chain, HR, procurement, and operations work over time.
Editor’s note: A version of this article was originally published by SAPinsider on 6/30.
