
Vercel is highlighting a broader shift in how companies use software: instead of only purchasing SaaS tools, more teams are now generating their own AI-powered software internally. In a recent LinkedIn post referencing remarks from CEO Guillermo Rauch at HumanX, Vercel pointed to growing demand for infrastructure that can support fast, secure, and scalable agent-based systems.
Key examples shared by Vercel include:
- Sales teams building their own lead-qualifying agents
- Internal data analyst agents that employees can query through Slack
- More than 90% of support requests being automated
- A need for infrastructure designed specifically for generative and agentic software workloads
The post also links to Vercel's "Agentic Infrastructure" messaging, reinforcing its position around hosting and scaling AI-native applications. While this is not a product launch announcement, it signals how Vercel is framing the next phase of software development: custom, AI-generated tools built inside organisations rather than bought off the shelf.
For small business owners and builders, this matters because AI agents are becoming practical internal tools, not just experiments. Platforms that make these systems secure and deployable at scale could lower the barrier to building custom operations, support, and sales workflows.
Sources
1 checkedHow we cover tool news: Create With's tool desk drafts these reports with AI from the sources listed above and checks them against those sources before publishing.







