I have reservations about this theory.
Larry Ellison has said similar things before, talking about how valuable private databases are, how general AI can't access them, so Oracle is awesome for hosting these databases.
In my view, it's all about speaking from a position of self-interest, first placing yourself in the most valuable position, then picking one-sided arguments to prove it.
Take points 1 and 2 for example. "AI sovereignty" and "private domain data" sound reasonable at first, but they all subtly point to their own products, meaning you should all come buy my stuff.
On the contrary, there are plenty of examples in the real world of companies being dragged down by old paths and unable to climb out, then a new CEO waves a hand, tears everything down and starts anew, bringing fresh life.
In such a situation, should you invest hundreds of millions to build an AI around the old database for decision-making, or stubbornly break out of the framework and forge a new path? No one can say for sure. Maybe PLTR is useful in some situations. But just like Ellison's sales pitch for Oracle couldn't stop the market from voting with its money, these are all statements with predetermined conclusions and should be referenced with caution.
This article released by PLTR corresponds to Karp's recent interview on CNBC, expressing a similar viewpoint to the lengthy piece by Microsoft's Nadella earlier.
In the AI era, the core assets of an institution are data retention + weights/institutional knowledge + autonomous architecture; selling AI by token is hollowing out the customer.
Institutions must keep data, weights (institutional knowledge sedimented within the model), and decision-making power in their own hands; ceding sovereignty means giving up future options and alpha.
This is also PLTR's product philosophy: whose hands the data is in → who sediments the weights/knowledge → can the model be swapped without losing institutional memory → to whom does the value compound.
$Palantir Tech(PLTR.US)
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