Intelligence Update
Enterprises will deploy inference in-house — if they can
The development of large language models (LLMs) is a complex process, requiring specialized infrastructure and skills, as well as the ability to differentiate the result — since there is little value in replicating the work done by others.
It is becoming clear that few organizations will choose to train their own LLMs, opting instead to rely on the growing number of commercial and open-weight models. This is a sign of market maturity: when organizations need enterprise software, they don't build it from scratch; they purchase it from established vendors or deploy open-source alternatives.
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