AI-driven development is accelerating software delivery faster than traditional test automation can keep pace. Static scripts are brittle, costly to maintain, and quickly fall behind rapidly changing applications, creating a widening AI velocity gap, a rising maintenance burden, and a growing skills bottleneck.
Even AI-powered copilots and self-healing approaches fall short. They still depend on human-in-the-loop approval and introduce context-switching friction, further compounding the skills bottleneck — as more scripts require work, the demand for skilled engineers to handle...