Marketers Shift Budgets Toward AI Capabilities

Mediaocean published its 2026 H2 Market Report, which Mumbrella summarises as finding that marketers are moving from AI experimentation to practical deployment. According to Mediaocean's report (via Mumbrella), 75% of marketers named AI the most important consumer trend, adoption of AI for data analysis reached 50%, and usage for creative development and personalisation rose more than 50% year over year. The share of marketers saying AI is causing a major transformation in workflows fell from 28% to 19%, per the report. Mediaocean also found 60% of marketers plan to increase spend in AI Media, 89% plan to maintain or increase investment in CTV, and 35% are moving away from spreadsheet workflows toward API-driven automation and direct-to-publisher transactions.
What happened
Mediaocean released its 2026 H2 Market Report, which Mumbrella summarises as documenting a budget shift toward operational AI in marketing. According to Mediaocean's report (reported by Mumbrella), 75% of marketers identified AI as the most important consumer trend; AI adoption for data analysis reached 50%; usage for creative development and personalisation increased more than 50% year over year. The report also records a decline in the share of marketers who say AI is producing a major workflow transformation, from 28% to 19%. Additional findings attributed to the report include 60% of marketers planning to increase spend in AI Media, 89% planning to maintain or increase investment in CTV, and 35% moving away from spreadsheet-based workflows toward API-driven automation and direct-to-publisher transactions.
Editorial analysis - technical context
Industry-pattern observations: Marketers' movement from experimentation to specific AI use cases typically elevates the importance of production-ready data infrastructure, model monitoring, and automation around creative supply chains. In comparable transitions, demand rises for tooling that integrates model outputs into campaign orchestration, measurement, and content-personalisation pipelines rather than one-off prototype experiments.
Industry context
Industry observers note that the reported uptick in budget for AI Media and sustained investment in CTV reflects two concurrent trends in advertising tech: greater allocation to programmatic and AI-driven media buying, and continued prioritisation of streaming channels for audience reach. These patterns increase the need for cross-channel attribution and real-time optimisation capabilities in ad tech stacks.
What to watch
For practitioners and vendors: watch adoption signals such as procurement of API-first automation platforms, growth in creative automation tool contracts, and vendor integrations that expose model scoring and measurement hooks directly to media-buying systems. Observers should also track whether the drop from 28% to 19% in perceiving AI as a workflow-transforming force corresponds with longer procurement cycles or a shift toward incremental efficiency gains rather than wholesale restructuring.
Limitations
The summaries above paraphrase Mediaocean's report as presented by Mumbrella. The report's methodology and sample details are not reproduced here; readers should consult the original Mediaocean release for sampling and survey methodology.
Scoring Rationale
The story documents measurable shifts in marketer budgets and adoption rates that affect tooling, data pipelines, and media-buying workflows. It is notable for practitioners integrating AI into production advertising systems but not a frontier research or platform release.
Practice with real Ad Tech data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Ad Tech problems


