Should AI companies be in a hurry to make money? Turning a profit too early could mean missing the next trillion-dollar market!

If an AI company told investors it would focus all its efforts this year on expanding market share, without pursuing profits for the time being, would you support it?
If it said it would control costs, improve margins, and reduce large-scale investment, would you support that?
This is the strategic dilemma facing the AI industry.
Scale up or make money first?
My view is that for AI companies with a technological lead, sufficient funding, and genuine user demand, continuing to scale up in the short term is reasonable.
That’s because the AI market is still changing rapidly, and model capabilities, user habits, and enterprise purchasing needs have yet to fully take shape. Pulling back on investment too early could hand market opportunities to competitors.
But that doesn’t mean they can burn money without restraint.
Companies must clearly understand how much revenue each additional user, each inference, and each new enterprise client brings in—and how much each costs.
That’s what growth quality means.
What’s truly dangerous isn’t losing money, but losing money without gaining a competitive edge.
I favor a strategy of capturing market share in the short term, improving efficiency in the medium term, and building a profit moat in the long term.
In plain terms, grow the pie first, but don’t rely on investors to keep paying the bill forever.
After all, investors’ money isn’t coins in a wishing well.$SPCX

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