Image conveying agents

The Rise of Agents – A Key Trend

Every so often, a new term captures the imagination of the tech world. “Agent” is one such word. From boardrooms to blogs, organisations are talking about how agents will transform work. Industry surveys suggest this is more than hype. KPMG’s Q2 2025 AI Quarterly Pulse Survey reports that agents are moving beyond experiments: a third of organisations already use AI agents in production[1] and nearly nine in ten leaders expect agents to necessitate fundamental organisational change[1]. Gartner goes further, predicting that by 2028, one-third of enterprise software applications will include agentic AI (up from less than 1% in 2024) and at least 15% of business decisions will be made autonomously via agents[2]. Deloitte anticipates that 25% of companies using generative AI will launch agentic pilots in 2025, rising to 50% by 2027[3]. When market leaders and consultancies align on the direction of travel, it is worth paying attention.

Windsurf as Icarus

Windsurf’s Rise, Fall, and the Lessons for your Company’s AI Strategy

This post is not a discussion of tech; it is a comment on strategy. Your organisation’s decision about the sort of AI companies it will depend on could have enormous consequences. This is the story of a company that, like Icarus, flew high but fell to earth, and the many customers whose AI plans were disrupted.

the 40 jobs most at risk

Microsoft List the 40 Jobs Most at Risk of AI Disruption

Microsoft have just published a study that predicts the 40 jobs most likely to be disrupted by AI – and Market Research Analysts and Data Scientists are both on their list (see more at Fortune). The Microsoft study is based on analysing 200,000 conversations with Bing. Microsoft examined the questions AI was asked and the instances where it was successful. 

ChatGPT’s Agent Mode is another Leap Forward – with risks

ChatGPT’s new Agent Mode is another major leap forward in how AI is advancing, especially in the field of Agentic computing. It also represents a significantly increased risk level. In this post, I outline what Agent Mode is, the associated risks, and provide a simple example.

Questionnaire Checking Agent

Creating an Agent to Check or Create Questionnaires

This is another post looking at the hot topic of Agents, building on the post from yesterday that created a Data Checking Agent. Today, I am looking at the combination of Instructions and Knowledge to create a more powerful Agent. Specifically, I will upload an Online Consumer Questionnaire House Style document and create a set of instructions to accompany it. For this example, I am going to use Copilot, but any LLM that allows agents to use Instructions and Knowledge would be suitable.

Gemini themed image

Creating a Data Checking Agent

Agents are one of the key AI developments that is re-shaping the way we conduct business and processes.  An agent is a software tool capable of tackling a task without user supervision. In this post, I will illustrate agents with an example that takes data (for example, from a quantitative survey).

Unlocking the Future of Insights: A Must-Listen Interview with Liubov Ruchinskaya

NewMR recently had the pleasure of hosting Liubov Ruchinskaya, Head of Strategy Analytics and Consumer Planning at Diageo Northern Europe, for a deep dive into the evolving world of insights. With over 22 years in the industry, including extensive experience on both the agency and client sides, Liubov shared invaluable perspectives on the challenges and opportunities shaping our industry. This interview is a must-listen for anyone in the insights, analytics, or marketing industries.

Socrates and AI

How AI Has Transformed My Story-Finding Method

After more than 40 years in the research and insights world, I thought I had fine-tuned my approach to finding the story in the data. Indeed, I have been teaching courses on story finding for over 20 years. However, the rise of Generative AI has caused me to redesign my methods and to adopt an AI-enhanced Socratic Method.

AI with flags from Japan, Thailand, Nigeria & UK

Exploring the Interaction of Language and ChatGPT

Ray Poynter, 28 June 2025 With Noriko Kishida (Japan), Tomoko Yoshida (Japan), Dangjaithawin (Orm) Anantachai (Thailand), and Seyo Adeoye (Nigeria), we have created a discussion and note relating to an experiment we ran earlier this year, examining the interaction between […]