CTV and AI Budgets Climb in 2026 as Fragmentation Remains Marketers' Top Headache

Budgets are flowing to CTV, programmatic, and AI media as linear TV slips; 63% plan to boost CTV. But scale lags as fragmentation and clunky stacks muddy measurement.

Categorized in: AI News Marketing
Published on: Feb 05, 2026
CTV and AI Budgets Climb in 2026 as Fragmentation Remains Marketers' Top Headache

CTV and AI Budgets Are Rising. Fragmentation Still Stalls Scale.

Marketers are pushing more budget into channels they can measure and move fast. In the first half of 2026, 63% plan to increase spend in connected TV, tying CTV with digital display and video for the biggest gains. Social is close behind at 61%. Retail media stays steady, with 40% increasing and 53% holding budgets.

Linear TV continues to slip. Thirty-six percent plan to cut local TV and 34% plan to cut national TV. Dollars are following flexibility, accountability, and clearer reporting.

Programmatic Momentum (with a CTV Tilt)

Programmatic budgets keep growing. Fifty-eight percent of buyers plan to increase programmatic spend in 2026, while 24% will hold steady. Buyers now expect to allocate an average of 26% of media budgets to programmatic CTV, up three points year over year.

Growth is being funded by shifts, not just net-new dollars. Among marketers increasing CTV spend, 45% are reallocation from linear TV, and nearly a quarter are pulling from desktop and mobile. Only 16% expect new incremental dollars to flow into CTV, down from 20% in 2025.

AI Media and Creators Move Up the List

Two categories are breaking through: AI media (ads on AI agents) and influencer/creator marketing. Fifty-four percent and 53% of marketers, respectively, plan to increase investment. The appetite is there, but execution still needs work.

What Marketers Value Most

Performance-driven paid media tops the priority list at 51%. Brand advertising and measurement and attribution are next, both at 48%. This is a signal: winning plans connect short-term performance with brand growth, then prove it with clean measurement.

GenAI: Big Interest, Patchy Use

Despite the buzz, actual usage trails intent. Only 43% use genAI for data analysis or market research, 33% for creative development, and 19% for campaign orchestration. Usage has even dipped since May-evidence of a gap between ideas and outcomes.

Still, AI and cross-platform orchestration are rising investment areas, each cited by 39% of marketers. The shift is clear: teams are moving from channel tweaks to building unified systems that can plan, activate, and measure in one motion.

Fragmentation: The Biggest Drag on Performance

Fifty-six percent of marketers say fragmentation across platforms and publishers is their top challenge. Cross-channel measurement and optimization follow at 49%. Concerns about balancing AI adoption with brand safety, accuracy, and creative control hit 43%, and 42% worry automation will reduce human oversight.

CTV's older pain points are still there, but easing. Frequency management dropped from 38% to 30% as a cited issue-likely because teams now see the deeper issue: siloed systems and messy signals. The real problem isn't buying across channels; it's seeing how those channels interact and making decisions fast.

Tech Stack Reality Check

AI adoption is getting blocked by the same old silos. Forty-one percent cite difficulty connecting AI insights across systems, and 39% report integration issues with current stacks. Only 10% say their ad tech is fully connected across CTV, social, display, and retail media.

Nearly half have partially unified systems with major gaps-leading to waste in measurement, creative deployment, and pacing. With 86% saying orchestration is at least somewhat important (and more than half saying extremely important), the takeaway is blunt: modernize your infrastructure or accept slower growth.

What To Do Now: A 2026 Action Plan

  • Rebalance TV: Shift more budget from linear into CTV where you can measure and control frequency. Aim to be near the market's 26% average for programmatic CTV, then adjust by incrementality and CPA.
  • Build an orchestration spine: Pick a system of record for audiences, creative, and measurement. Connect CTV, social, display, and retail media data. Standardize naming, events, and taxonomy across platforms.
  • Make AI useful (not theoretical): Lock 2-3 repeatable use cases-forecasting and budget reallocation, creative versioning and testing, daily bid/pace adjustments. Add brand safety and human review gates.
  • Tighten measurement: Pair MMM or incrementality tests with platform lift studies. Track blended CAC, ROAS, and reach/frequency across CTV + social to see overlap and reduce waste.
  • Fix frequency and duplication: Use identity solutions and cross-publisher controls to cap exposure across CTV apps. Set weekly ceilings and monitor effective reach, not just impressions.
  • Creator and AI media pilots: Carve out small, controlled tests for creators and AI agents. Use clear success criteria (CPA, view-through lift, assisted conversions) and scale only if it clears your benchmark.
  • Data discipline: Enforce a shared taxonomy, event hygiene, and UTM standards. Small operational wins here compound across every channel.

Sources and Further Reading

Explore the latest insights from the organizations cited in this report:

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