This is a proof-driven
rerating, not a science-fiction outcome. The upside comes from converting today’s underused automation into a default execution rail for AI-enabled biology, with better
revenue quality from repeat runs, embedded ordering, data reuse, and partner-funded expansion. If that happens, investors can value the business as scaled lab infrastructure instead of shrinking bespoke services.