The AI-Ready Workforce Roundtable Series - Middle East
Every leader has an AI ambition. Far fewer can point to evidence their workforce is actually ready to deliver on it.
That gap is what Pluralsight wants to spend an hour unpacking with you. The pattern shows up everywhere: ambition outpaces proof, investment decisions get harder to justify without data, and accountability for closing the gap ends up nowhere and everywhere at once — split across technology, business and people leaders who each own a piece of it. Readiness, in Pluralsight's view, was never a one-time assessment to begin with. It's a moving target that has to be measured, developed and adapted as fast as the capabilities themselves change.
Three questions will anchor the hour: what real evidence of workforce readiness looks like, beyond a completion certificate; how organisations keep that evidence relevant as the technology underneath it keeps shifting; and what's actually working for teams trying to build this at scale, responsibly, right now.
An experienced moderator will open the floor and let the conversation run — closed, confidential, and built for the version of the answer people give when they're not being recorded for a panel.
Who's in the Room
Technology and people leaders sitting at the exact intersection this problem lives in — the ones responsible for turning AI ambition into workforce capability. If you're accountable for measuring, building or proving readiness inside your own organisation, you'll be among peers working the same question from different seats.
The Session
10:25 AM — Check-in
10:30 AM — Welcome and introductions
10:40 AM — Opening address by Pluralsight
10:45 AM — Discussion opens with the moderator, continued by the group
11:30 AM — Discussion closes
Hosted by Pluralsight
Pluralsight works with organisations navigating this exact readiness gap — where ambition for AI is high, but proof of workforce capability is thin. That vantage point, gained across a wide range of companies wrestling with the same accountability and measurement questions, shapes a session built less around theory and more around what's demonstrably working elsewhere.