Dietmar Fischer

Semantic memory is stable knowledge.

These are the facts the AI should treat as generally true.

Company policies, brand rules, product details, customer segments, legal limits, pricing rules.

This is where accuracy matters.

If the AI forgets a style preference, that is annoying.

If it remembers the wrong refund policy, that is a business problem with paperwork attached.

Procedural memory is how work gets done.

It is the playbook.

How reports are structured, how podcast episodes are built, how campaign reviews are written, how customer support issues are escalated.

This is where AI becomes really useful in business, because it stops asking for the same process again and again.

It begins to follow the way the organization actually works.

The cake example made this clear.

A good AI cake assistant needs to know the current order, remember what happened with the customer before, respect stable facts like allergies, and follow the shop's order process.

If it mixes those up, you may get a unicorn cake for a teenager, a retirement cake covered in glitter, or far worse, the wrong allergy information.

Charming?

No.

Legally spicy?

Very much.

The business lesson is simple.

Memory must be designed.