Need for Contextualized, Reliable and Cost-Effective Solutions Is Driving the Shift Toward Small Task-Specific AI Models San Diego, CA (May 1, 2025) – Gartner, Inc.predicts that by 2027, organizations will implement small, task-specific AI models, with usage volume at least three times more than those of general-purpose large language models (LLMs).While general-purpose LLMs provide robust language capabilities, their response accuracy declines for tasks requiring specific business domain context.

“The variety of tasks in business workflows and the need for greater accuracy are driving the shift towards specialized models fine-tuned on specific functions or domain data,” said Sumit Agarwal, VP Analyst at Gartner.“These smaller, task-specific models provide quicker responses and use less computational power, reducing operational and maintenance costs.” Enterprises can customize LLMs for specific tasks by employing retrieval-augmented generation (RAG) or fine-tuning techniques to create specialized models.In this process, enterprise data becomes a key differentiator, necessitating data preparation, quality checks, versioning and overall management to ensure relevant data is structured to meet the fine-tuning requirements.

“As enterprises increasingly recognize the value of their private data and insights derived from their specialized processes, they are likely to begin monetizing their models and offering access to these resources to a broader audience, including their customers and even competitors,” said Agarwal.“This marks a shift from a protective approach to a more open and collaborative use of data and knowledge.” By commercializing their proprietary models, enterprises can create new revenue streams while simultaneously fostering a more interconnected ecosystem.Implementing Small Task-Specific AI models Enterprises looking to implement small task-specific AI models must consider the following recommendations: Gartner clients can learn more in “Predicts 2025: AI-Powered Analytics Will Revolutionize Decision Making.” Learn how to ensure that your data is ready for use in the specific AI initiatives you plan to pursue in the complimentary Gartner AI-Ready Data Essentials Roadmap.

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