Media buyers cut ad tech vendors as AI drives internal builds

This shift represents a strategic move to 'de-layer' the programmatic supply chain, targeting the margin-heavy middle of the ad tech stack. For streaming video, this means agencies are increasingly building their own curation layers for premium inventory, threatening the market position of niche supply-side and verification vendors. By bringing these functions in-house, buyers gain direct control over data leakage and statistical methodologies, though they face substantial long-term technical debt if these custom tools fail to scale alongside growing multi-million dollar CTV budgets. Watch for a decline in renewal rates for non-essential SaaS middleware as brands shift budgets toward internal AI development teams.

The push for internal tool building arrives as SaaS costs continue to climb across the enterprise. According to the 2026 SaaS Management Index from Zylo, annual software spend rose nearly 8% in 2025 despite flat application counts, largely due to vendors layering new consumption fees on top of traditional seat-based licenses. This pricing pressure has forced roughly 61% of IT leaders to cut specific software initiatives, per Zylo (June 2026), making AI-assisted internal development a financially attractive alternative to expanding SaaS budgets.

The agency landscape is also centralizing its tech infrastructure to counter the scale of Big Tech. Stagwell’s launch of its 'Media Machine' operating system in June 2026 mirrors broader moves by major holding companies like Omnicom and WPP to integrate disparate agency tools into unified platforms. These 'operating systems' are designed to handle everything from planning to bid-level execution, aiming to offer the same transparency and ease of purchase found in walled gardens like Meta or Amazon while still operating across the open web, per Digiday (June 2026).

However, this transition to internal technology requires agencies to evolve from service providers into software owners. Recent reporting from BestMediaInfo (July 2026) highlights that while AI tools reduce manpower for reporting and testing, they also force a pivot in business models away from headcount-based fees toward proprietary technology revenue. This shift raises new questions regarding data ownership and intellectual property transfer, particularly when brands decide to change agency partners but find their entire media intelligence stack is built on the agency's proprietary internal AI tools.