Observed Signal · Mar 6, 2026 · Industry Report · Source: https://martech.org/feed/ · Impact: 2/5 · Sentiment: Negative
Marketers Struggle to Fully Embrace AI Adoption
Supermetric’s “2026 Marketing Data Report,” summarized by MarTech, finds that while leadership is pushing for AI adoption across marketing, most teams remain in experimentation mode. More than 80% of marketers feel pressure to introduce AI, yet only 6% say AI is fully embedded in day‑to‑day operations. The report identifies top-down pressure (leadership and investors), gaps in strategy and training, budget and privacy concerns, limited access to high‑quality data, and small analytics teams as the main barriers. Marketers currently use AI mainly for efficiency and repetitive tasks; broader analytics and decision‑making use cases will require stronger data foundations and investment in analytics capacity.
Survey highlights industry-wide gap between executive pressure and operational readiness (strategy, training, data), signaling demand for MarTech, analytics investments, and data infrastructure improvements.
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Key Takeaways & Evidence Grounding
- Supermetric’s “2026 Marketing Data Report” finds more than 80% of marketers feel pressure to introduce AI into workflows.
- Only 6% of marketers say AI is fully embedded in their day‑to‑day operations.
- 61% of respondents cite leadership as the primary source of pressure to adopt AI; 28% cite investor boards, 26% cite direct managers, and 20% cite customers.
- More than one‑third of marketers report lacking a clear AI strategy or sufficient training; budget constraints and privacy concerns (nearly 40%) are common barriers.
- Many organizations have very small analytics teams (a significant share with fewer than five dedicated specialists); current AI use is mostly limited to simple efficiency tasks.
Connected Companies & Entities
2 Entities mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Marketers Struggle with AI Confidence Despite Adoption Plans
AdExchanger reports a widening gap between marketers’ plans to adopt AI and their confidence in how it works. A survey of 512 US marketing professionals across agencies and brands shows 87% intend to increase AI usage in the next year, but only 45% feel they understand how AI-powered technologies operate, a 42-point gap indicating early adoption friction. Adoption is strongest in practical areas like email automation, social media management, and chatbot-driven customer engagement, with 72% deploying these AI features, often via tools embedded in existing stacks (HubSpot, Mailchimp) and consumer tools like ChatGPT. Knowledge gaps persist: 47% don’t understand how AI works, and only 39% are confident in their team’s ability to derive useful insights from AI. A majority (54%) can’t confidently measure success against the right business goals. The piece advocates AI literacy, cross-tool integration, and tying AI to performance metrics as paths forward.
Marketers Increase AI Use; Technical Skills Lag
Digiday+ Research, based on a survey of 142 brand and agency professionals and interviews with marketing and tech executives, finds marketers’ adoption of AI has climbed sharply (from 44% in 2022 to 86% in 2025) but organizational tech skills, upskilling and strategic use lag behind tool adoption. The report notes many companies favor out-of-the-box AI tools (85% of respondents), while fewer build on existing LLMs (40%) or train proprietary LLMs (19%). Firms have appointed chief AI officers (brands such as General Motors, Mastercard and ZocDoc; agencies including Golin, Luckie & Co. and Horizon Media). Interviewees flagged economic concerns about GPU/TPU infrastructure costs, gaps between baseline user familiarity and advanced internal usage, and growing platform interoperability (e.g., Adobe integrating Google models and Google Vertex AI).
Marketers Reluctant to Fully Delegate AI Decision-Making
Research from AI advertising and orchestration platform StackAdapt, based on a survey of 500 marketing and advertising professionals (including 187 StackAdapt customers) across North America, EMEA and APAC, finds a clear gap between marketer comfort using AI with human oversight and willingness to grant full autonomy. While large majorities are comfortable with AI recommending actions (90%) or preparing actions for human approval (89%), comfort falls to 78% for AI taking action under human-defined rules and to 50% for fully autonomous AI. Common AI use cases include reporting/summaries (77%), performance analysis/insights (74%) and creative development (69%). Key barriers to delegation are brand risk (63%) and data quality (56%). Adoption is high globally (NA 91%, EMEA 90%, APAC 92%) and 88% report improved marketing performance.
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