The Shocking Gap Between AI Demos and Real AI
Here is a number that might surprise you.
According to research by McKinsey, 78% of organisations now use AI in at least one business function. That sounds impressive. However, when you dig deeper, a very different story emerges.
Most AI projects, somewhere between 80 and 90 per cent, never make it past the prototype or proof-of-concept stage. They look great in a demo. They perform well in a controlled environment. But the moment they go live in the real world, something breaks. (Link)
This is called the AI production gap, and in 2026, it remains one of the biggest unsolved problems in the technology industry.
So why does this keep happening? More importantly, what separates the AI projects that actually work from the ones that quietly die after launch?
That is exactly what this blog answers.
Continue reading “Why Most AI Projects Fail in Production (And How to Make Them Work)”