AI-powered agents are significantly transforming the landscape of professional education.
In today's fast-paced world of work, capability is the new currency, and agentic AI is redefining how effectively and quickly people acquire it. The Forbes Human Resources Council, an invitation-only organisation for HR executives across all industries, is at the forefront of this revolution.
The role of AI in learning and development (L&D) is becoming increasingly significant. AI agents can act like effective teachers across an organisation, understanding, adapting, and interacting in context-aware ways. They bring together the three essential elements of capability building: content, context, and conversation, on demand and personalised for every learner.
However, it's crucial that AI learning is underpinned only by verified resources to build trust and drive long-term engagement and effective upskilling. Learning leaders should ask technology providers about their AI usage, data handling processes, security and compliance procedures, and bias mitigation frameworks.
Despite the abundance of learning content available today, organisations still struggle to close skill gaps. There is more learning content available than the ancient Library of Alexandria, yet the challenge remains. The solution, it seems, lies in turning learners into performers by providing effective learning that connects employees with what they need to know, in a way that matters.
Nelson Sivalingam, CEO and co-founder of HowNow, an AI-powered learning and skills platform, is at the helm of this change. AI agents on his platform tailor guidance to learners' specific challenges and adapt dynamically over time, reinforcing learning continuously and supporting application in the flow of work.
The generative AI revolution has the potential to scale great teaching in the world of L&D. The organisations that excel won't have the biggest learning libraries but the ones that leverage AI to provide effective learning that connects employees with what they need to know, in a way that matters. L&D teams should consider the appropriate scale of hyper-personalization to meet their organisation's needs, whether for foundational understanding or bridging the gap between learning and doing.
In conclusion, the future of L&D lies in the intelligent and personalised use of AI. By focusing on verified resources, context-aware learning, and continuous reinforcement, organisations can close the gap between learning and capability, and redefine success in the world of work.
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