As artificial intelligence reshapes work, organisations face a challenge that extends beyond providing employees with more learning opportunities. According to Shilpa Dua, CHRO, NIIT, the real differentiator will be an organisation's ability to convert learning into measurable capability and business outcomes.
In an interview with People Matters, she said AI literacy is set to become a foundational workplace capability, comparable to proficiency in English or the use of productivity tools.
Her perspective reflects a broader shift in learning and development. Organisations may have expanded access to digital learning platforms and content, but capability gaps continue because learning alone does not translate into performance.
Learning is no longer enough
Dua said organisations have made significant investments in learning platforms, content and development opportunities, yet capability development remains "far more complex than delivering learning".
"The real challenge today is not access to knowledge," she said. "It is the ability to align critical skills with business priorities, build capabilities at scale, and convert them into measurable business outcomes."
She noted that AI, automation and digital transformation are continuously reshaping roles, making skills "dynamic assets" that require organisations to anticipate future capability needs instead of responding only to existing gaps.
According to Dua, the future lies in moving from learning delivery to capability transformation by integrating skills intelligence, workforce planning, talent mobility and business priorities.
She also pointed to the NIIT India Skills Gap Report 2026, which highlights the growing need to build future-ready capabilities across AI, digital, data and emerging technologies.
From content abundance to capability relevance
While access to learning has expanded significantly, Dua believes organisations now face a different challenge.
"The democratisation of learning has created unprecedented access to knowledge; however, abundance has also created complexity," she said.
She noted that careers are no longer linear, with employees expected to move across roles, technologies, business models and ways of working throughout their careers.
Instead of asking what learning is available, organisations should focus on identifying the capabilities that will create the greatest impact for both employees and the business.
According to Dua, the next phase of workplace learning will depend on:
- Skills intelligence
- AI-enabled personalisation
- Experiential learning
- Capability ecosystems instead of content ecosystems
She said these approaches help employees build relevant capabilities at the right stage of their career while creating measurable performance impact.
Capability building must start with business outcomes
Dua said organisations often fail when learning initiatives are treated as isolated interventions instead of business transformation tools.
She said effective capability building begins by identifying the intended business outcome, whether improving productivity, enhancing customer experience, enabling digital transformation, strengthening leadership capability or preparing employees for future roles.
"Learning creates awareness, but transformation requires reinforcement through coaching, application, feedback, and manager ownership," she said.
Embedding learning into the flow of work and aligning capability building with customer and business outcomes are, in her view, essential for long-term behavioural change.
Measuring impact beyond completion rates
Dua said organisations also need to rethink how they evaluate learning investments.
She believes completion rates and certifications provide visibility but fail to answer more meaningful questions around capability and business performance.
She identified several measures organisations should focus on instead:
- Are critical skills improving?
- Are behaviours changing?
- Is customer experience improving?
- Is performance improving?
- Is the organisation becoming more agile?
She said leading organisations are increasingly adopting skills-based measurement frameworks that connect learning investments with productivity, innovation, leadership readiness, workforce mobility and wider business outcomes.
"The conversation" should move from "How much learning happened?" to "What capability was created and what impact did it deliver?" she said.
AI literacy is becoming a business capability
Looking ahead, Dua said organisations that outperform others will be those that treat capability building as a strategic advantage rather than a support function.
She said organisations must continuously identify emerging skills, reskill talent and deploy capabilities faster than the pace of change.
Referring again to the NIIT India Skills Gap Report 2026, she said AI, digital, data and technology capabilities are becoming increasingly important as organisations prepare employees for evolving roles.
For Dua, AI represents more than another technology trend.
"AI is no longer a technology agenda. It is a business capability agenda," she said.
She believes organisations are approaching a point where AI literacy will be "as fundamental to business as proficiency in English or the use of workplace productivity tools."
"It will become the new currency of business," she said, enabling organisations to make better decisions, accelerate innovation, enhance productivity and create greater business value.
For CHROs, she added, the question is no longer whether AI capability should be built but how quickly it can become foundational across the workforce.
Building intelligence capacity
Dua concluded that competitive advantage will not come from providing access to more learning resources.
Instead, she said organisations must focus on converting learning into capability, capability into performance and performance into sustainable business growth.
She described this as building "intelligence capacity", which she defined as an organisation's ability to continuously learn, adapt and create value in an environment of constant change.