For a few years, calling it a growth strategy mostly meant writing a hiring plan.
More engineers. More sales reps. More headcount filling in the gaps between where you were and where you said you wanted to be.
That worked when capital was cheap enough that the plan could outrun the question of whether it was a strategy. Growth covered a lot of thinking that never actually happened.
Now the question has caught up.
AI is what forced it. When one engineer with the right tools now does what three did eighteen months ago, adding headcount stops being the reflex answer to every gap. The distance between where you are and where you want to be no longer closes by hiring into it. It closes by deciding what leverage you already hold and pointing it somewhere specific.
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What I keep seeing from operators right now is a forced reckoning with sequencing.
Not just what to build, but what to build first, with what you have, and why that order makes sense. It’s a harder conversation. It also turns out to be a more useful one.
That is uncomfortable, because a hiring plan is easy to approve and easy to defend. A sequencing decision puts someone on record about what matters now and what can wait. There is nowhere to hide in that conversation.
The companies navigating this well aren’t the ones with the most sophisticated frameworks. They’re the ones willing to say out loud that what they had before was a spending thesis, not a strategy, and to start from there. The plan and the strategy were never the same thing. It just took the money that is getting expensive for the difference to matter.
