Strategy And Planning

AI is taking over learning: Are L&D professionals ready?

March 30, 2026
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/>The disruption of learning and development is not arriving as a dramatic overhaul, but as a quiet, almost imperceptible shift, one that is unfolding inside content libraries, learning platforms, and workflows that once required entire teams to design, deliver and manage.<br><br>Today, an <a id=” captionrendered=”1″ data-src=”https://etimg.etb2bimg.com/photo/129852431.cms” height=”442″ href=”http://hr.economictimes.indiatimes.com/tag/l%26d” keywordseo=”ld” loading=”eager” source=”keywords” src=”https://hr.economictimes.indiatimes.com/images/default.jpg” type=”General” weightage=”20″ width=”590″></img>L&D professional can generate training modules, create assessments, personalise learning journeys and track outcomes using AI tools in a fraction of the time it once took. What previously required weeks of coordination across instructional designers, content creators, facilitators and LMS administrators can now be executed within hours, sometimes by a single individual working alongside intelligent systems.</p> <p>This is not simply a story of efficiency. It is a story of redefinition.</p> <p>Because as AI begins to take over the mechanics of learning, the function itself is being reshaped — and with it, the roles of those who built their careers around it.</p> <h2>The quiet erosion of traditional L&D roles</h2> <p>The earliest signs of this transformation are visible in the operational layers of L&D, where roles tied to content creation, training delivery and programme coordination are beginning to contract, not always through explicit layoffs, but through a gradual erosion of demand.</p> <p>“If you have a team that is creating content, visualising content, or delivering training at scale, those roles will obviously be impacted,” said Rajnish Borah, Global Head – Learning, Organisation Effectiveness and Diversity & Belongingness at WNS Global Services.</p> <p>The shift is subtle but unmistakable. Large teams dedicated to designing learning content are being replaced by smaller, more agile groups that work with AI tools to generate and refine outputs. Similarly, the need for large-scale facilitation is declining as organisations move towards digital, self-paced and on-demand learning models.</p> <p>“You may not need 10 graphic designers anymore. You may need one or two people who can prompt well and manage the output,” Borah noted, pointing to the growing importance of working with machines rather than replacing them.</p> <p>“We haven’t seen roles disappear due to AI, largely because we already operate with lean L&D structures,” says Neeti Kumar, Head of People, Tide (India). “But the nature of work is clearly evolving, content creation is faster, administrative tasks are automated, and basic instructional design is increasingly augmented by AI.”</p> <p>In this emerging model, the value of scale is no longer tied to headcount, but to how effectively organisations can leverage technology.</p> <h2>From training delivery to capability architecture</h2> <p>What is being disrupted, however, is not just roles, it is the very definition of L&D.</p> <p>For decades, the function has been anchored in training delivery: designing courses, conducting workshops, managing learning management systems, and tracking participation. Success was often measured in hours of training delivered or completion rates achieved.</p> <p>That model is now becoming obsolete. As AI takes over content generation, personalisation and even elements of assessment, L&D is being pushed up the value chain—from execution to strategy, from delivery to design, from programmes to ecosystems.</p> <p>“The future of L&D, as far as I’m concerned, is going to be more of a programme management category,” Borah explains, emphasising that the function must align closely with business priorities and mission-critical outcomes.</p> <p>This shift is also redefining how L&D sees itself within the organisation.</p> <p>“The future L&D professional will be a strategic talent and capability partner, rather than just a programme manager,” Kumar noted. “The role is moving from delivering training to enabling organisational capability and culture.”</p> <p>In practical terms, this shift manifests in several ways:</p> <ul> <li>Learning is becoming embedded into work, rather than delivered as a separate activity<br /></br></li> <li>Employees are increasingly expected to own their learning journeys<br /></br></li> <li>L&D teams are acting as internal consultants, aligning capability building with business strategy<br /></br></li> </ul> <p>The function is, in effect, moving from being a provider of training to an architect of capability.</p> <h2>The uncomfortable middle: Role erosion and identity shift</h2> <p>This transition is not without friction.</p> <p>Between the old model and the new lies an uncomfortable middle, one where roles are being redefined faster than individuals can adapt, and where the value of traditional L&D expertise is being questioned.</p> <p>Content creators are finding their work automated. Trainers are seeing their roles reduced or restructured. Even instructional designers, once considered core to the function, are being asked to evolve beyond design into validation, curation and strategy.</p> <p>“The creators will slowly become less, but you will need people who can validate whether the content is right, whether it aligns with frameworks and principles,” Borah said.</p> <p>This shift introduces a new kind of accountability. AI can generate content at scale, but it cannot fully understand organisational context, cultural nuance or strategic intent. That responsibility remains human, but it requires a different skill set.</p> <p>For many L&D professionals, this is not just a change in role, but a change in identity.</p> <h2>The rise of the techno-functional L&D professional</h2> <p>If the operational layers of L&D are shrinking, the expectations from those who remain are expanding.</p> <p>The future L&D professional, as Borah describes it, is neither purely a learning expert nor purely a technologist, but a hybrid, someone who can operate at the intersection of both.</p> <p>“The individual will need to understand when to leverage machine and when to leverage human capability,” he said.</p> <p>This gives rise to what can be described as the techno-functional L&D professional, a role that combines learning expertise with technological fluency, business understanding and strategic thinking.</p> <p>“The rise will be of techno-functional SMEs,” Borah added.</p> <p>This shift is also expanding the scope of the role beyond traditional learning boundaries.</p> <p>At organisations like Tide, L&D is increasingly merging with broader talent and organisational effectiveness mandates.</p> <p>“The role is evolving to include areas like leadership development, succession planning and capability building,” Kumar explained. “It’s about acting as a consultant to the business, not just delivering programmes.”</p> <h2>The capability gap within L&D itself</h2> <p>Ironically, as L&D is tasked with preparing the workforce for an AI-driven future, many L&D teams themselves are struggling to adapt to the same shift.</p> <p>“The biggest capability gap is the lack of a tech-first mindset,” Borah observed.</p> <p>Traditional workflows (where trainers depended on content creators, and content creators relied on long development cycles) are collapsing into faster, more autonomous systems.</p> <p>In the future, a single individual may be expected to:</p> <ul> <li>Generate content using AI<br /></br></li> <li>Validate and refine it<br /></br></li> <li>Deliver it through digital platforms<br /></br></li> <li>Track and analyse its impact<br /></br></li> </ul> <p>“It’s moving towards a self-service model,” Borah explained, where individuals must take ownership of the entire learning lifecycle.</p> <p>This shift significantly raises the bar for L&D professionals, who must now combine multiple capabilities that were previously distributed across teams.</p> <h2>Where human judgment still matters</h2> <p>For all its capabilities, AI does not eliminate the need for human judgment, it amplifies its importance.</p> <p>“AI can create content, even strategies. But deciding what is right for the organisation, that is human judgment,” Borah said.</p> <p>The most critical aspects of L&D (defining learning priorities, aligning with business strategy, ensuring relevance and quality) remain deeply human responsibilities.</p> <p>Even prompting, often framed as a technical skill, is rooted in expertise and context. Without the ability to ask the right questions, AI cannot produce meaningful answers.</p> <p>In this sense, the future of L&D is not about replacing humans with machines, but about redefining how humans and machines work together. What emerges from this transformation is not the disappearance of L&D, but its reinvention.</p> <p>The function is moving away from delivering learning as a service, and towards enabling learning as a system, one that is continuous, personalised and deeply integrated into the flow of work. For organisations, this shift presents an opportunity to build more agile, adaptive workforces. For L&D professionals, it presents a challenge. </p> <div> <div aria-label=

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