How AI is Changing Learning and Development in 2025
Jan 23, 2025
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Anindyo Naskar, Head of Learning and Leadership Development at Landmark Group, shares insights on how AI is revolutionizing learning and development. He emphasizes the necessity of a mindset shift for successful AI adoption across organizations. Anindyo discusses the balance between automation and human intelligence, the importance of collaboration in creating tailored solutions, and the unique challenges in preparing deskless workers for the future. The conversation highlights the role of AI in personalizing and enhancing training experiences.
Embracing AI in learning and development requires a critical mindset shift across all organizational levels to foster acceptance and innovation.
Collaborative co-creation of AI solutions with diverse stakeholders ensures that technology meets unique organizational needs and enhances overall effectiveness.
Deep dives
Future-Ready Organizations
Organizations are now focusing on how to futurize work, personalize workers, and humanize workplaces, especially post-COVID. This shift reflects a broader understanding that HR must play a larger role in preparing organizations for the future. Key areas for integration include recruitment, learning, talent management, leadership, and employee engagement, which all must function cohesively to create a common organizational context. This approach recognizes the need for agility and adaptability in the modern work environment to meet evolving employee and industry expectations.
Mindset Shift and Technology Adaptation
A significant mindset shift is required within organizations to embrace modernization effectively. This shift begins at the organizational level, with leaders setting a clear direction and rationale for change, which enables middle management and frontline employees to follow suit. Awareness of the potential capabilities of new technologies, like AI, is crucial, as it encourages acceptance rather than resistance among employees fearful of being replaced. For instance, AI now enables more efficient translation processes, mitigating traditional hurdles in multilingual content delivery.
Navigating AI Adoption in Organizations
Organizations face challenges in adopting AI technology not just due to concerns about job displacement, but also misunderstandings regarding the function and limitations of different AI types. Leaders must differentiate between generative AI and specialized AI, with the latter being better suited for specific domains like healthcare and coding. Success with AI also hinges on leaders’ ability to effectively engage with the technology and continuously evolve their understanding of it, rather than assigning blame when technologies do not perform as expected. A proactive approach towards identifying valuable use cases and adapting them to specific organizational needs is essential.
Collaboration and Stakeholder Engagement
To achieve successful technology implementation, organization-wide collaboration and stakeholder alignment are critical. Involving a diverse working group that encompasses various functional areas encourages buy-in and ensures that the technology meets collective needs. Rather than siloed decision-making, a project sponsor should facilitate conversations that clarify the technological objectives and expected outcomes. Additionally, having access to insights from users running the technology can provide real-world perspectives and help preempt potential challenges associated with adoption and deployment.
In today’s episode of the HR Leaders Podcast, we’re joined by Anindyo Naskar, Head of Learning and Leadership Development at Landmark Group, to explore how AI is transforming learning and development.
Anindyo discusses how AI is reshaping training, why mindset shifts are critical for adoption, and how to balance automation with human intelligence. He also shares why co-creating solutions with partners is key to building future-ready organizations.
🎓 In this episode, Anindyo discusses:
Why mindset shifts are critical for AI adoption at every level.
How AI is reshaping L&D through automation and personalization.
Balancing speed and quality in learning with AI-powered solutions.
Co-creating technology with partners to meet unique organizational needs.
Preparing deskless and frontline workers for the future of work with scalable solutions.