Readiness Is Broken: Designing Real Capability in the AI Era
Tuesday, May 19, 2026 11:15 AM to 11:45 AM · 30 min. (America/Los_Angeles)
Learning Stage 6, EXPO, South Hall, Level One
Learning Stage (Product Demonstrations)
Learning Stage
Information
In this Learning Stage session, the speaker tackles the biggest problem shaping the future of work: readiness at scale. Skills gaps and talent shortages now put trillions of dollars of economic value at risk by 2030, yet most organizations still run the same pattern across hiring, onboarding, and development—a few interviews, lots of content, a little shadowing—and then expect people to perform in high‑stakes situations.
The speaker will show what changes when you stop treating hiring, onboarding, and development as disconnected events and start treating them as a single, connected readiness engine for capability in your org. Instead of generic interviews and slideware, candidates move through structured, fraud‑resistant capability assessments, teams rehearse real, dynamic scenarios in AI‑driven simulations, and custom practice content is built around your actual customers, sites, and risks—so you are measuring how people perform in your world, not in a lab.
You will see practical ways to integrate this approach with programs you already own and leave with one experiment you could run—whether that is improving a hiring step, an onboarding path, or a safety‑critical workflow—that is small enough to be realistic but big enough to change the conversation and the outcomes back at the office.
The speaker will show what changes when you stop treating hiring, onboarding, and development as disconnected events and start treating them as a single, connected readiness engine for capability in your org. Instead of generic interviews and slideware, candidates move through structured, fraud‑resistant capability assessments, teams rehearse real, dynamic scenarios in AI‑driven simulations, and custom practice content is built around your actual customers, sites, and risks—so you are measuring how people perform in your world, not in a lab.
You will see practical ways to integrate this approach with programs you already own and leave with one experiment you could run—whether that is improving a hiring step, an onboarding path, or a safety‑critical workflow—that is small enough to be realistic but big enough to change the conversation and the outcomes back at the office.
Learning Objective 1:
Diagnostic / journeys
Leave with a simple diagnostic you can use back home to see where hiring, onboarding, and development journeys across key employee stages are blocking real capability instead of building it.
Learning Objective 2:
Assessments / simulations / custom build
Experience how structured capability assessments and AI‑driven simulations built around your real environments, risks, and conversations could look in practice—and capture ideas you can immediately reuse with your own teams.
Learning Objective 3:
Experiment / 30 days / change the conversation
Draft one small, practical experiment you can pilot in the next 30 days—whether in hiring, onboarding, or a safety‑critical workflow—that helps you move from AI‑curious to capability‑ready and changes the conversation and outcomes back at the office.
Format
In-Person
Schedule-At-A-Glance
EXPO Happenings
