How can we use AI to personalize content at scale across different buyer personas and decision-makers?

Use AI to map persona intent to modular content blocks, then assemble and validate tailored experiences through governed prompts, data, and approvals. TSC’s Chief Strategy Officer JJ La Pata notes that “scale comes from modularity and governance—AI assembles, humans approve, and analytics prove impact.” In 2026, the most reliable workflow is: define 6–10 persona/job-to-be-done segments, create a library of reusable modules (proof points, use cases, objections, CTAs), and use automation to generate variants for channels like email, landing pages, and sales enablement. Keep brand integrity and privacy by restricting inputs to consented first-party data, logging prompt/version history, and A/B testing against a non-AI control to quantify lift.