In the Gulf Cooperation Council economies, where state-backed conglomerates and sovereign wealth funds have ploughed capital into digital transformation initiatives, a dangerous complacency is creeping into legacy software operators. Speaking with regional technology leaders echoes a consistent refrain: “We are the system of record, we are safe.” On the surface, this holds analytical merit—replacing core enterprise resource planning or financial management platforms remains a daunting, multi-year proposition for even the most ambitious organisations.
The security of incumbency, however, masks a subtler vulnerability. While core revenue streams remain intact, the locus of IT spend growth is rapidly migrating. Chief information officers across the Middle East are reallocating budgets towards AI agents, autonomous workflows, and embedded intelligence layers. In markets like the UAE and Saudi Arabia, where Vision 2030 and digital-first policies accelerate modernisation, incremental IT spending—when not embedded in existing platforms—is flowing around traditional providers rather than through them.
Historical SaaS growth models, predicated on land-and-expand seat deployment, are losing potency as headcounts in many GCC enterprises stabilise or contract. Expansion now stems from deploying AI agents—software entities that handle operational workloads previously borne by human hires. If incumbent providers fail to control those autonomous layers, they are reduced to a commoditised data substrate, vulnerable to the same downward pressure that traditional infrastructure has faced.
Within the region, proactive incumbents provide instructive contrast. Entities akin to ServiceNow are building AI agent capabilities natively, ensuring workflow orchestration and value creation remain tethered to their software. Similarly, Salesforce’s Agentforce initiative reflects awareness that ceding the AI layer risks relegation to a data repository. However, not all incumbents demonstrate comparable urgency. In labour-intensive verticals provided dominant by established players slow rollout of AI offerings risks leaving them dependent on third-party agent platforms that intermediate customer relationships.
Where this dynamic becomes financially profound is in the erosion of incremental growth potential. A regional operator generating half a billion dollars in recurring revenue with five-per-cent net expansion will find growth momentum quickly overwhelmed by AI-native challengers capable of compounding at triple-digit annual rates. Low churn, absent growth, may preserve cash flows in the short term, yet it seeds longer-term competitive displacement.
The advanced actors in this transition are compiling AI agents in-house rather than via partnerships, pricing them as distinct, incremental product lines, and pressing ahead before the market reaches perfection—knowing that speed-of-delivery dictates ownership of the workflow layer. In a region witnessing sovereign investment in AI sovereign data centres and AI-focused precincts, local providers must either command the agent layer themselves or risk seeing the value chain captured by vertically integrated global players. Low churn, without growth, is not safety—it is a slow fade.
