10/13/2026
AI is getting better at making recommendations.
But a better recommendation engine doesnโt automatically deserve more authority.
Thereโs an important distinction between AI helping make a decision and AI owning that decision.
An algorithm can rank candidates.
Should it decide who loses their job?
It can calculate customer risk.
Should it decide who deserves an exception?
It can model strategic scenarios.
Should it choose which values the business compromises?
The more consequential the decision, the less comfortable we should be with removing human judgment entirely.
Not because humans are perfect.
Weโre not.
But some decisions require something beyond pattern recognition:
๐๐ผ๐ป๐๐ฒ๐
๐. ๐๐บ๐ฝ๐ฎ๐๐ต๐. ๐๐๐ต๐ถ๐ฐ๐. ๐๐ฐ๐ฐ๐ผ๐๐ป๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐.
The goal shouldnโt be to keep humans involved in every tiny decision either. That defeats much of the value of automation.
Instead, organizations need to define their AI decision boundaries:
๐ช๐ต๐ฒ๐ฟ๐ฒ ๐ฐ๐ฎ๐ป ๐๐ ๐ฎ๐ฐ๐ ๐ฎ๐๐๐ผ๐ป๐ผ๐บ๐ผ๐๐๐น๐?
๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐ต๐ผ๐๐น๐ฑ ๐ถ๐ ๐ฟ๐ฒ๐ฐ๐ผ๐บ๐บ๐ฒ๐ป๐ฑ?
๐๐ป๐ฑ ๐๐ต๐ฒ๐ฟ๐ฒ ๐บ๐๐๐ ๐ฎ ๐ต๐๐บ๐ฎ๐ป ๐ฎ๐น๐๐ฎ๐๐ ๐ต๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ณ๐ถ๐ป๐ฎ๐น ๐๐ฎ๐?
The companies that use AI responsibly wonโt necessarily be the ones that automate the least.
Theyโll be the ones that know exactly where automation should stop.
Where would you never give AI the final say?
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