A Global Assessment of Gen-AI Powered Learning Across Industries
Situation
Our client wanted to better understand how Generative AI is reshaping corporate learning and development (L&D) across industries. Our client wanted to identify trends, success factors, risks, and leading practices related to the integration of AI into L&D strategies onboarding, skill development, and organizational transformation.
Objective
The objective was to evaluate the evolving landscape of Gen AI in corporate learning, understand organizational strategies and barriers, and define actionable frameworks for leveraging AI to transform workforce development in a future-ready manner. Our client wanted to inform their future service offerings, shape thought leadership, and support client advisory initiatives on the future of workforce learning.
Particularly, the client wanted to gather perspectives from large enterprises ($1bn+) across industries including capital markets, consumer goods, financial services, insurance, public sector & government, life sciences, healthcare, higher education, manufacturing, oil & energy and technology.
Our Work
10EQS conducted a two-phase study combing 38 expert interviews across industries including technology, financial services, healthcare, retail, energy, and government. 10EQS explored both current deployments and emerging practices in AI-powered learning including AI in L&D use cases, exploration of autonomous AI agents, development of “co-learning” frameworks, analysis of barriers and enablers to Gen AI adoption. 10EQS also deep dived into case studies from pioneering organizations across retail, telecommunications, and pharmaceuticals as well as identification of investments required to successfully scale Gen AI initiatives.
Project team
- Ex-McKinsey Management Consultant with extensive technology & organizational strategy experience
- Ex-McKinsey Consultant supporting content synthesis
- Associate Consultant conducting secondary research
- 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
- 38 industry experts
Industry experts (excerpt)
- Creative Director of Digital Learning – US Government Department (US)
- Director of People Technologies – Industrial Manufacturing Company (UK)
- Director, Global Learning Solutions Capability Lead – Global Food & Beverage Manufacturer (India)
- Senior Insight Solutions Lead, R&D Data Sciences & AI – Pharma Company (Germany)
- Senior Director, Learning & Performance Support – E-commerce Platform (US)
- Head of AI Factory – Retail Company (France)
- Director of AI – British Government Agency (UK)
- VP, AI Capabilities – Technology Company (Poland)
- IT Chief Data Officer – Oil & Gas Company (Netherlands)
- Head of AI Strategy & Governance – Financial Services Company (Sweden)
- Senior Director Data Science & Artificial Intelligence – Healthcare Company (US)
- Director, Cloud Solution Architecture, Data & AI – Technology Company (US)
- Associate Vice President – Head of Group Digital Learning – Financial Services Company (UAE)
- Executive Director – Innovative Learning Technologies – Higher Education Organization (US)
Results
The insights helped our client understand key shifts from traditional learning models toward on-the-job, real-time, AI-augmented learning. While most organizations are still in early stages of implementation, several pioneers are demonstrating the transformative potential of human-AI collaboration in L&D.
- Organizations report large reductions in formal training time (often 30-70%) through AI-enabled contextual learning.
- Critical success factors include executive sponsorship with clear mandate for transformation, robust data infrastructure and governance, and a staged implementation approach, amongst others.