Our new weekly series brings industry insights around Ardent Partners’ AI Rising 2026: The State of Procurement AI report, sponsored by ORO Labs and Fairmarkit, examining how CPOs and senior procurement leaders are navigating the AI transformation, and revealing where AI adoption is accelerating, the challenges that remain, and the strategies separating today’s leaders from tomorrow’s laggards.
In Part Seven this week, we look at how the AI evolution is coinciding with broader disruption in enterprise software, as vendors face pressure around growth, profitability, differentiation, consolidation, and emerging pricing models tied to usage or outcomes rather than users. For procurement leaders, this means technology strategy must increasingly be coordinated with IT and finance, as today’s platform and pricing decisions may be shaped by a rapidly changing software market.
Under Pressure: The Next Phase of SaaS
The AI evolution is occurring alongside broader structural pressures within the enterprise software market. Public market valuations have shifted, and many software providers are facing increased scrutiny around growth, profitability, and differentiation. This environment, often described as a “SaaS-pocalypse,” reflects a growing recognition that the traditional model of selling standalone applications with per-user pricing may not be sustainable in its current form.
From a procurement perspective, the implications are significant, even if the ultimate outcome remains uncertain. The market is likely to undergo consolidation, repositioning, and potential re- architecture as vendors respond to changing expectations. Some platforms will expand their footprint, others will narrow their focus, and new entrants will attempt to redefine the landscape. It is unlikely that these shifts will fully play out in the near term, but their trajectory is clear enough to warrant attention.
One area where immediate change is expected is in pricing models. The long-standing approach of charging per user is being challenged by emerging models that align cost with activity or outcome. Pay-per-transaction and pay-per-result structures are beginning to surface, reflecting a closer linkage between technology usage and business value. This shift is explored in greater detail later in this chapter, but its early signals are already visible.
For procurement leaders, the message is straightforward. Technology strategy can no longer be managed in isolation. It must be developed in close coordination with IT and finance, with an understanding that the platform decisions made today may be shaped by forces that extend beyond procurement itself. The stack is still forming, and the rules that govern it are beginning to change.
Access your free copy of AI Rising 2026: The State of Procurement AI to discover how procurement leaders are adopting AI, evaluate your organization’s readiness against current market trends, and gain practical insights for building a more intelligent, AI-enabled procurement function.
