AI Is Getting Better at Everything. But Does It Know What Matters?
Techstrong.ai, Wednesday, October 14th, 2026
General-purpose AI can look right while missing the domain detail that matters commercially; expert-labeled data closes the gap.
Tosin Kolawole, building LigaxAI, found that a leading general model could recognize braids but not tell knotless braids from box braids, distinctions that mean different prices and booking times for a salon.
Specialist knowledge is often underrepresented in training data, and labels determine which distinctions a model learns, so expert-verified domain data matters more than volume.
UK figures show AI adoption at 26% of businesses, while only 21% of AI users have integrated tools into their systems.
As AI moves into real workflows, businesses must define what 'good enough' accuracy means for each task's consequences.