95% of pilots fail

Myth Number 2: MIT Showed That 95% of AI Pilots Fail

Perhaps the most commonly quoted statistics about AI projects is that 95% of them fail, according to MIT. It has been quoted by Fortune, Forbes, Harvard Business Review, and a long tail of content that is still, in 2026, using “95% of AI pilots flop” as a hook to sell the very thing the study was supposedly warning us about.
It is a wonderful statistic. It is shocking, it carries an elite institutional badge, it confirms what a tired and sceptical audience already suspected, and it is short enough to survive a thousand reposts. There is only one problem, it does not say what almost everyone thinks it says.

AI Can't create anything new

AI Myth Number 1: AI Cannot Produce Anything New

AI only repeats what it was taught. That is a comforting line that appears whenever AI comes up in research conversations. AI is framed as an assistant, a parrot, a tool, a very fast intern with a big knowledge base and sometimes a flaky memory, but no imagination. The implication is reassuring, because it suggests the interesting thinking is still safely ours. But it is a myth.

Runners

Calling All Runners: Take Part in Our Research

We are looking for regular runners based in the UK to take part in a research project about running clothes. Your experiences and opinions will help shape an online training course for research professionals, hosted on the Flowres.io platform.

AI image focusing on China and the world

Chinese AI Models Are Reshaping the Global Landscape – What Does This Mean for Market Research?

I’ve been tracking the rise of Chinese AI systems with growing interest over the past year, and I believe there are implications for the insights and market research industry. In 2026, I think we will see an important shift. 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.

Optimism Chart

The State of Research and Insights

NewMR is currently conducting the sixth wave of our State of Research and Insight study. We have conducted two waves in 2023, two in 2024, and this will be the second wave in 2025. We anticipate reporting on this study towards the end of December this year, possibly in January next year.

How brains and AI process text

How AI Understands Language: Visualizing Meaning with Sentence Embeddings

Have you ever wondered how an AI system, like a search engine or a chatbot, understands that the sentences “A dog chases the ball” and “A canine pursues the sphere” mean approximately the same thing? Of course, it’s not magic. It’s advanced mathematics, called semantic similarity, and the powerful concept of Sentence Embeddings.

Synthetic Data is Here

Synthetic Data is a Reality, But Are You Asking the Right Questions?

At most conferences and events, we are seeing a growing number of examples of Synthetic Data, in its many forms and versions, being used for real projects. However, there still seems to be a body of thought that promotes unscientific criticism of this approach. This sort of criticism is likely to hold some people back from realizing the potential benefits and could cause real commercial damage to those who follow it blindly.

Elaine Rodrigo at esomar Congress

AI Dominates the agenda at esomar Congress 2025, Prague

The 2025 ESOMAR Congress in Prague was dominated by one theme above all others:, and that theme was artificial intelligence. From the exhibition floor to the presentation sessions and corridor conversations, AI was the connective tissue running through the programme. What had been emerging in previous years became fully mainstream in 2025. Far from being a specialist topic, AI now underpins the methodologies, business models and strategic debates across the market research and insights industry.