Expert commentary on AI-enabled research, product updates, and practical tips for getting more from your insights stack.
All the studies I've seen, including NewMR's own studies, show that AI is being widely adopted across the research industry. But is it generating ROI? Indeed, how should we measure ROI? This second question is the main topic I will examine in this post.
In readiness for 2026, here are 10 words which I think are going to be really important, and you want to keep an eye out for. 1 Agentic As well as relating to agents, this also refers to things like Agentic browsers, Agentic AI, and Agentic research, where we're going to use agent-like methods and agents to organise agents to do tasks previously done by humans.
This document sets out my perspective on the landscape, defines key terms, and suggests next steps for developing more structured, safer, and more reliable use of synthetic data. This is very much work in progress, shared to stimulate further discussion.
The IAB/MRC are currently engaged in drawing up new proposals for measuring attention in media consumption. Although their work is sound and well-researched, I wonder if the emerging AI-reshaped media world will create fundamental problems of endogeneity?
For anyone in the market research and insights world, Forrester's latest quarterly results are a must-read and a sobering signal of the shifts happening under our feet, as reported by MRWeb.
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