IBM Research’s Palette project is a promising step for AI-assisted design and workplace productivity. Instead of relying on a huge general-purpose model to create presentations from scratch, Palette explores how a smaller model can be taught to build slide decks that match a particular design language.
This matters because presentations are a major part of business, research, education, and internal communication. A tool that can generate on-brand decks could save teams time, reduce repetitive formatting work, and help non-designers produce more polished materials.
Why this is a win
- Faster deck creation: Teams could move from idea to presentation more quickly.
- Brand consistency: AI can help maintain layout, typography, and visual style across slides.
- Efficient specialization: Smaller models trained for specific design contexts may be cheaper and easier to run.
Palette also reflects a broader trend in AI: moving from one-size-fits-all systems toward focused assistants that understand a company’s workflows, assets, and standards. That kind of practical, tailored AI could make creative and business tools more useful in everyday work.