# Marketers Shift Budgets Toward AI Capabilities

> Source: <https://letsdatascience.com/news/marketers-shift-budgets-toward-ai-capabilities-c3557565>
> Published: 2026-06-17 02:24:08.350545+00:00

# 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.

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