Purpose-built small language models (SLMs) offer a viable path for government agencies facing strict security and governance constraints. These compact models bypass the operational hurdles of larger systems. MIT Technology Review highlights this shift as a necessity for constrained public sector environments. Practitioners can now deploy AI without compromising institutional data privacy.