Museum of Artificial IntelligenceELEL

Exhibit 9.7

2026 →

Smaller, local and specialised models

Progress is not only about scaling up. Smaller and specialised models can be highly competitive on some tasks, while local execution can reduce cost, latency or data exposure.

Smaller, local and specialised models
Documentary snapshot · evidence synthesis from the 2026 AI Index on smaller and specialised models · a strong technical trend, not the end of scaling

Why it is in the museum

This room separates what is already happening, strong trends and genuinely uncertain futures.

Evidence for this exhibit

Institutional / scientific source

This source supports the dated event and the core claim described in this exhibit.

Main source: Stanford HAI, AI Index Report 2026 and contemporary literature on edge and domain-specific AI.

Open source

What to keep in mind: The evidence is used only for the claim stated on this page; broader interpretations remain curatorial.

Ask the exhibit

This small guide uses only the documented facts on this page. If your question goes beyond them, it will say so instead of filling the gap.

Start with one of the questions above.