Every Major AI Company Is Competing on Capability. Almost None Are Competing on Whether the AI Actually Understands the Person Using It.
Nearly every visible dimension of competition among major AI companies runs through capability — more parameters, longer context, better reasoning, faster response, broader task coverage. This is a real and legible axis to compete on, and it's also nearly the only one being actively contested at scale.
A different axis — whether the system actually understands the specific, recurring pattern of the person using it, well enough to recognize it and reflect it back — is barely being competed on at all, not because it's unimportant, but because it's a harder, less legible capability to build and to market compared to the metrics that dominate capability competition.
This creates a specific kind of open space: a genuinely valuable capability, sitting almost entirely outside the primary competitive battlefield, not because the market has decided it doesn't matter, but because the current competition hasn't organized itself around it yet.
Competing on capability and competing on actually understanding the person are not the same contest, and the second one is close to uncontested — which is either a signal that it doesn't matter, or a signal that almost nobody has gotten there yet. The evidence points toward the second.
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Momar Lissa Ndiaye ("MLN") is the Founder & CEO of weyoga Inc., a Delaware company. — weyoga.ai · mln@weyoga.ai