CASE STUDY 1 AWS SimuLearn’s AI-powered learning innovation: bridging technical and human-centric skills Context: Through its work with global customers and partners, Amazon Web Services (AWS) identified a critical gap: while digital platforms effectively teach technical skills, they rarely build the human-centric interpersonal and strategic competencies that make technology teams effective. This gap left learners underprepared for customer engagement and forced employers to rely on costly, time-intensive shadowing programmes. In response, AWS has developed an AI- powered simulation platform that scales business-technical conversations in realistic, low-risk settings – one that measures performance and captures how learners think through problems and communicate solutions. Approach: AWS developed SimuLearn, an online learning experience that pairs generative AI-powered simulations with hands-on training. SimuLearn helps individuals learn how to translate business problems into technical solutions through simulated dialogues between customers and technical professionals. Through realistic scenarios powered by generative AI, learners engage with virtual customers to gather requirements, iteratively develop architecture proposals, receive constructive feedback, build solutions in the AWS Console and validate implementations – developing their communication, problem-solving, decision-making and solution design skills. There are five specialized AI agents working together at the core of SimuLearn: –A business stakeholder agent simulating non-technical perspectives –A technical customer agent presenting challenging scenarios –An evaluation agent assessing solution accuracy –An AWS assistant providing real-time guidance –A skills assessment agent scoring learners on communication skills, problem-solving skills, customer focus, decision-making skills, technical knowledge and strategic thinking skills. This multi-agent system creates a safe, scalable environment for developing both technical and human-centric skills. With over 200 training scenarios, learners gather requirements, develop architecture proposals and receive immediate feedback across various roles and industries. Results: SimuLearn helps learners surface their reasoning, experiment safely and refine the judgement and critical- thinking skills that will distinguish top performers in an AI- augmented workplace. The tool enables: –Scalable, risk-free environments for practicing customer interactions –Immediate feedback on technical solutions and soft skills –Accelerated development of capabilities typically requiring years of experience –Engaging learning through gamification and realistic scenarios –Seamless integration of technical training and human- centric skill development New Economy Skills: Unlocking the Human Advantage 31

New Economy Skills Unlocking the Human Advantage 2025