09/20/2026
When people start bringing AI into their business, the first question is often the wrong one.
The instinct is to ask who can we eliminate.
The better question is what work actually creates value here.
Every role should connect to a business outcome.
If someone is spending most of their time on repetitive administrative work that technology could genuinely improve, that is worth evaluating.
But not all work is the same, and knowing the difference is where good leadership comes in.
Here is how I think about sorting it:
๐น Low-value work is where you let AI absorb the load. Repetitive admin tasks, work software can automate, and routine rules-based steps.
๐น High-value work is what you protect and invest in. Customer relationships, solving complex problems, and the institutional knowledge your people carry.
AI can make people more productive, but it does not automatically replace human judgment, creativity, or trust.
If someone is maintaining relationships, solving complex problems, or carrying institutional knowledge, cutting that role usually costs you far more than it saves.
The companies that get this right use AI to eliminate low-value work so their people can focus on the high-value work that truly moves the business.
Where could AI free up your team to focus on higher-value work? Would love to hear your thoughts in the comments ๐