Expert commentary on AI-enabled research, product updates, and practical tips for getting more from your insights stack.
I've been tracking the rise of Chinese AI systems with growing interest over the past year. In 2026, I predict that many organisations across Europe, Asia-Pacific, and beyond will turn to Chinese-developed AI as part of their solution. Note, I predict they will usually run these models locally rather than rely on cloud services.
AI is moving fast, but people aren’t. If your team is feeling change fatigue, the answer isn’t another shiny tool—it’s smarter change. In this post I share practical, low-friction ways to adopt AI: improvements “under the bonnet”, clearer workflows, and small wins that reduce effort without disrupting habits. Move forward with energy, not exhaustion. Ideal for research and insight leaders.
Agents are rapidly becoming the key way that AI delivers systematic, scalable benefits beyond one-off experiments. Ray Poynter has designed a new course to help start leveraging agents to boost your efficiency and effectiveness.
This post reviews a recent book about AI risk, but more importantly, it's a call for our industry to wake up to the possibility that AI, as well as being amazing, could potentially kill us all. We need to start taking the risks of AI seriously.
Here is a brief outline of what Copilot is and the key decisions you need to make, such as whether to use the standalone chat or the within app features, and what is the difference between Work and Web in terms of security and the information being used.
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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