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.

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.

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.

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.