Ksenia Solomatina

The energy and manufacturing sectors are facing a severe labor shortage, exacerbated by rapid technological advancements and the transition to clean energy. Traditional training methods are too slow and costly to keep up with demand and resumes alone fail to accurately reflect candidates’ real skills and potential. AI-powered assessments and XR-based simulations offer a scalable, cost-effective solution to accelerate workforce reskilling by evaluating hands-on capabilities rather than just credentials. This approach is particularly effective for transitioning workers from declining industries and the military, as reskilling them is significantly faster and cheaper than training new workers from scratch.
This presentation will explore how AI-driven tools can assess transferable skills, personalize learning pathways, and reduce training time, while XR simulations provide hands-on, real-world practice in a safe, virtual environment. By leveraging these technologies, employers can efficiently identify and train candidates for critical roles in clean energy, heavy industry, and manufacturing.

We will also discuss real-world case studies, including partnerships with the Department of Defense and industry leaders, showcasing the impact of this approach on workforce readiness. Attendees will gain insights into how AI and XR can drive workforce transformation, improve job placement rates, and support economic growth in regions affected by industry transitions.

Join us to discover how these innovative technologies can bridge the skills gap and future-proof the workforce in energy and manufacturing.