Gartner warns that the majority of custom generative AI projects are slated for abandonment by the end of 2025. The core issues stem from a combination of excessive costs, high operational complexity, and the accumulation of technical debt that makes long-term maintenance unsustainable for most enterprises.
While custom-built models face a grim outlook, specific high-value applications continue to show promise. The consultancy highlights several viable use cases that remain worth the investment:
- Coding assistants that increase developer velocity.
- Automated content summarization tools.
- AI-driven graphic and video creation platforms.
For projects outside of these narrow categories, the financial burden often outweighs the business value. Organizations must pivot toward standardized solutions or face sinking resources into bespoke models that fail to provide a measurable return on investment.
