Domain AI Is Taking Over: How Tech Providers Capture Value Beyond Generic Models

• Why most organizations struggle to realize measurable ROI from AI investments

• How domain‑specific language models outperform generic AI in cost, accuracy and impact

• The key challenges tech providers must overcome to scale domain‑specific AI solutions

• What actions providers can take now to differentiate, adapt and capture long‑term value

Despite unprecedented investment in AI, most organizations are failing to achieve meaningful returns — with only a small minority reporting positive ROI and the majority still early in adoption. This gap between expectation and outcome is creating mounting pressure on both enterprise buyers and technology providers to rethink their approach.

In this webinar, Gartner will explore why domain‑specific AI models are emerging as the next phase of value creation. Built on targeted context and specialized data, these models deliver more relevant outcomes at lower cost — positioning them to displace many generic AI use cases over the next three years. However, delivering on this promise is not straightforward. Providers must navigate critical challenges, including limited access to high‑quality domain data, increasingly skeptical buyers, the need for stronger change‑management support and the operational burden of keeping models current. You’ll learn how to design for continuous adaptation, strengthen differentiated messaging and evolve commercial models to capture value in a rapidly shifting AI market.

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