# Acquisition Teams Explore AI Support

A discussion of AI in acquisition describes potential uses for research, improving readability, managing workloads, drafting agreement analyses, and routine data processing. Participants also identify automating award-notice publication to SAM.gov as a possible workflow improvement, while cautioning that AI outputs can be inaccurate or shaped by sales language and require review by people with relevant expertise. One commenter warned that wider industry adoption could increase the volume of compliant, responsive proposals acquisition teams need to evaluate.

- Acquisition professionals can assess AI for the listed support tasks, while verifying outputs against source material and applying subject-matter review before relying on them.
- Automating award-notice publication to SAM.gov is a potential workflow use identified in the discussion, not a reported implemented capability.
- Teams may need to account for higher proposal-evaluation workloads if AI tools enable more offerors to submit responsive proposals; the discussion does not establish that this increase has occurred.

**Jurisdictions:** federal
**Industries:** Information Technology
**Topics:** Artificial Intelligence
**Published:** November 06, 2026

### Government Entities
- General Services Administration (GSA)

### Key Quotes
> With adequate guardrails, references, direction, etc. from human experts, we can pretty much automate 95% of what used to require manual data entry, outlining, compliance checking, etc. The 1102 community is going to have to be prepared to receive 10 times or more the responses, all perfectly compliant and responsive to the solicitation, once the majority of industry embraces the future.
> — Community commenter

### Sources
- [AI in Acq](https://www.reddit.com/r/1102/comments/1xpmk6y/ai_in_acq) - reddit-1102