You Don't Need to Be From the Field. The Chess Research Proves It.

In 1973, researchers William Chase and Herbert Simon sat chess masters and beginners in front of a board. They showed each player a real game position for a few seconds, then asked them to rebuild it from memory.

The masters placed around 16 pieces correctly. The beginners managed about 4. That looks like proof that masters simply have better memory.

Then the researchers scattered the pieces randomly, into positions that could never happen in a real game. The masters' advantage collapsed almost entirely, and they ended up nearly as ordinary as everyone else.

Expertise is a library of patterns

The masters did not have superior memory. They had a library of patterns, thousands of them, built from years of games. A real position matched their patterns. Random pieces matched nothing, so the library was useless.

Cognitive scientists call these patterns chunks. Nelson Cowan's research puts working memory at roughly four chunks, for masters and beginners alike. Capacity is the same, so the expert's edge is that each of their four chunks is enormous.

The 10,000-hour rule did not hold up

The famous "10,000 hours of practice makes you an expert" rule came from a 1993 study of violinists. In 2019, researchers Brooke Macnamara and Megha Maitra re-ran that study. The best violinists had not practised more than the merely good ones.

An earlier meta-analysis by Macnamara's team across 88 studies found practice hours explained about 26% of performance differences in games, and in professional work less than 1%.

In jobs like yours and mine,
hours served explains almost nothing.

A framework is a borrowed library

If expertise is a pattern library, then a framework is a borrowed one: someone else's chunks, written down and handed to you.

When I assess a new supplier, I'm not a veteran auditor, but I carry a compressed version of the patterns veterans use: capability, certifications, capacity, and risk. Four chunks cover the ground.

AI does the heavy lifting inside each chunk: the calculating, drafting, and formatting. The framework is the chess pattern and AI moves the pieces. You stay in charge of judgment. Together, that lets a BD guy produce costing analyses and supply-chain plans without an engineering degree.

The trick that makes it stick

Psychologists Peter Gollwitzer and Paschal Sheeran analysed 94 studies on implementation intentions: deciding in advance, "if situation X happens, then I will do Y." Effect on follow-through: d = 0.65, one of the most reliable effects in behavioural science.

In factory-office language: don't resolve to "use AI more." Decide "when an RFQ lands in my inbox, I run the costing prompt before I open Excel." Attach the tool to a trigger that already happens every week. That single sentence of planning roughly doubles the odds the habit survives.

Borrow the library

The chess masters were not smarter, and the violinists' hours did not explain their ranking. Across these studies, expertise came down to patterns held in a library and applied at the right moment.

You can borrow the library and rent the engine for the price of a kopi. The judgment is the part that was always yours.

You don't need to be from the field.
A framework and the nerve to use it are enough.