Will AI be the Death of SaaS in 2026?

A clear inflection in SaaS momentum emerges

Among all the questions that have emerged about AI, the most prominent for TBR has been: “Will AI be the death of SaaS?”
 
Today, SaaS is far from dead, but it has reached an unmistakable inflection point. The model that reshaped enterprise software over the past 20 years has reached maturity just as a new layer of intelligence is forming above it. The result is a market that still depends on SaaS but no longer treats it as the strategic center of gravity. What once looked like a stable, compounding growth engine now appears more like baseline infrastructure that supports a different kind of workflow. As a result of this shift, the market is questioning whether SaaS applications will continue to define enterprise workflows or if this role is shifting to AI-native platforms and agentic systems.
 
In the below TBR Insights Live webinar, TBR Senior Analyst Alex Demeule discusses why SaaS is not collapsing but is, rather, undergoing a structural reordering driven by AI-led modernization priorities. The discussion focuses on the shift from application expansion to platform consolidation, as enterprises redirect spend toward data platforms, integration layers and PaaS capabilities that enable AI readiness. Additionally, Alex explores how market saturation and changing CIO priorities are reshaping growth models for incumbent SaaS vendors, with particular attention to why revenue momentum is increasingly tied to platform services rather than net-new applications.
 
Lastly, Alex provides a look at how leading vendors are responding with proprietary small language models (SLMs), agentic workflows, and deeper control over data and metadata layers, and then address the unresolved questions shaping the next phase of enterprise software, including the long-term coexistence of SaaS, PaaS and AI-native systems as the enterprise stack continues to evolve.