The investment that end users will make throughout the world in generative AI models will reach a total of 14.2 billion dollars, according to the data handled by the Gartner consultant. In the case of the Investment of this type of users in specialized modelsa category that includes the specific language models of a specific area or domain, or DSLMS), the experts of the consultant suggest that the expense can reach 1,100 million of dollars before finishing the year.
Specialized generative models are trained or adjusted with specific data processes or the sector in which they want to be used. On the other hand, the way in which the specific language models of an area develop and deploy leads to have an impact that exceeds the direct expenditure they cause.
In Gartner they believe that by 2027, more than half of the generative AI models used by companies will be the type we are commenting on, specific to a certain area. That is, specialized to use it in a concrete sector or business function. To get an idea of its growth, in 2024 these types of models only constituted 1% of the total.
According to Arunasree Cheparthi, Gartner research analyst«The basic models of generative AI, including large language models, or LLMS, train with large amounts of data and are used for many different tasks. They are the first models that admit generative, and will continue to represent the greatest expense of organizations in the coming years«.
Of course, according to Chepart, «Organizations are also resorting to more specific generative models for each domain, or vertical, since they offer better performance, cost, reliability and relevance in specific business use cases than basic models«.
