Developing
An opinion and analysis piece based largely on anecdotal conversations; MarTech is owned by Semrush, which sells marketing tools.
In 60 seconds
- Reports generally agree that "more than 90% of marketers say they're using AI".
- AI adoption is widespread, but workflow integration, data quality and organisational strategy lag.
- Faster content output can add rework and fail to improve efficiency, and model updates can break workflows that worked before.
- The author notes reports disagree on AI ROI and on workforce and hiring effects, and does not resolve them.
Impact Layer
- What changed
- A trade editor summarises where AI in marketing stands at the end of 2026.
- Why it matters
- Planning for 2027 depends on whether AI problems are about tools or about process and data.
- Who is affected
- CMOs and marketing operations leaders planning 2027 budgets.
- Martech stack area
- AI, Data
- Stack impact
- Audit your AI workflows for rework and for dependence on a single model version, and test a rollback plan.
- Business impact
- Low The article describes no specific survey or study and provides no respondent counts, methodology or timeframe, and gives no figures on ROI, rework cost or hiring.
- Related technologies
- What to watch
- Independent measurement of AI ROI in marketing.
Mike Pastore, head of content and media at MarTech, published “The state of AI in marketing: Q4 2026” on October 12, 2026. The article discloses that MarTech is owned by Semrush.
What it says
- Reports generally agree that “more than 90% of marketers say they’re using AI”.
- Adoption is widespread, but workflow integration, data quality and organisational strategy lag.
- Faster content output can add rework and fail to improve efficiency.
- Model updates can break workflows that previously worked.
- Marketers are less confident in proving AI ROI in 2026 than in 2025, per a linked article that this piece cites without figures.
Sources and limits
The author says he reviews “most of the research” sent to him, but his view rests mainly on conversations with marketers and martech leaders. The article gives no sample, methodology or timeframe, and no quantitative data on ROI, rework costs or hiring impact. He notes reports disagree on those and does not resolve it. He describes the coming holiday season as the “first or second” AI-powered one, depending on the report.
Our read
This is a practitioner’s summary, not research. Its useful advice is to check your own rework and version dependence.
Sources
- MarTech: The state of AI in marketing, Q4 2026 (opens in a new tab)
Source for the author's observations and caveats.