The opportunity behind the headline

Most technology conversations inside growth-stage companies start with “should we adopt X” — a feature question. The more useful conversation is “what does this let us do that we could not do, or could not afford to do, before” — a business-model question.

The Real Signal Is a Cost Structure That Moves

When AI or digital infrastructure genuinely changes a business, it shows up as a cost curve that bends — a service that used to require ten people now requires two, a market that used to be too small to serve profitably now clears the bar. That is different from technology that simply makes an existing process marginally faster; useful, but not strategic.

Adoption Without a Model Change Adds Cost, Not Advantage

Companies that adopt new technology because competitors are talking about it, without identifying what specifically becomes viable as a result, tend to add licensing costs and integration overhead without a corresponding shift in what they can sell, to whom, or at what margin. The technology budget grows; the growth trajectory doesn’t.

QUESTIONS WORTH ASKING

• What could we sell, or to whom, that we currently can’t — if this technology worked as promised?

• Where specifically would our cost structure change, and by how much?

• Are we adopting this because it changes our economics, or because it’s expected of us?
• If a competitor adopted this first, would it actually threaten us — or is it a feature, not a strategy?

DANTAYA’S VIEW

Technology earns a place in a growth strategy only when it answers a business-model question, not a feature question. The companies extracting real value aren’t necessarily the earliest adopters — they’re the ones who can say precisely what becomes possible for them that wasn’t possible before.

The right test for any new technology isn’t whether it’s impressive. It’s whether it moves a number that used to be fixed.