Observed Signal · Oct 1, 2026 · Market Signal · Source: PureSpectrum · Impact: 2/5
Explore, Scale, Efficiency: How We Actually Rolled Out AI Internally
The market research industry isn’t adopting AI in a single, unified wave. It is divided into two groups going at two distinct speeds. The 2026 GRIT Insights Practice Report highlighted a...
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Recent verified developments and strategic activity across this market segment.
Three AI shifts reshaping market research
Market research workflows are shifting as AI moves from one-off task automation to persistent, collaborative research infrastructure. The article highlights three developments: Anthropic’s Projects feature, which creates persistent project environments that let models reference uploaded reports and transcripts over time; Google’s Gemma models, designed to run inside an organization’s own infrastructure to avoid sending sensitive customer data to external clouds; and the rise of multi-AI systems that combine specialized models (summarization, sentiment, contradiction-checking) to triangulate and validate outputs. Together these trends reduce security and continuity barriers, embed AI inside productivity environments, and introduce automated quality-control patterns—enabling teams to synthesize institutional knowledge faster while leaving strategic interpretation and study design to human researchers.
A new path to AI discovery
A research-led look at the state of AI visibility nearly a year on: how to measure it, what shapes AI’s answers and where brands should invest for growth.
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).
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