AI Changed the Market's Denominator
The decision not to enter a market is rarely about the product. Almost always, it's about the math that doesn't add up.
Every company has a silent list: segments it walked away from, geographies that weren't worth the effort, verticals left waiting for the right moment.
The reason was almost never a lack of capability. It was the cost of entry.
An average deal size too small for the cost of acquisition. Multilingual support too expensive to scale. Personalized service that would require a dedicated team with no short-term return. The numbers didn't work, so the company stayed where the ROI was more predictable.
AI didn't bring a new product to these markets. It brought a different denominator.
Multilingual support became cheap. Personalization at scale became feasible. Serving smaller-deal segments without proportional headcount became possible.
Markets that were mathematically unviable six months ago have different denominators today.
And that's where the strategic question most leaders still haven't asked comes in:
"Which market became viable this week that wasn't viable last week?"
The CEO who answers that first isn't being optimistic. They're being precise: the equation has changed, and there are competitors running that math right now.
Which market did your company set aside because of the cost-of-entry math? Tell me in the comments - it might be the most valuable conversation of the quarter.
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