From Opinions Desk

By Dr Archana Verma, Interaction with Aditya Singh, Founder and CEO, Benevolve

How are you integrating AI with digital learning for the workforce?

AI is fundamentally changing the way organisations approach learning and development by making it far more personalised, contextual and continuous. At Benevolve, we leverage AI to understand an employee’s existing skills, career aspirations, performance patterns and organisational requirements to recommend highly relevant learning pathways rather than generic training programmes.

Instead of a one-size-fits-all approach, AI helps organisations identify skill gaps, suggest targeted learning interventions and enable employees to build capabilities aligned with evolving business needs. This not only improves learning outcomes but also helps organizations develop future-ready talent while giving employees greater visibility into their career progression.

How are you ensuring the concerns of the workforce regarding AI and their future in the industry?

One of the biggest misconceptions around AI is that it is designed to replace people. We believe AI should augment human capabilities, not diminish them. The objective is to remove repetitive administrative work and empower employees with better insights, learning opportunities and career visibility.

Transparency is equally important. Employees should understand how AI-generated recommendations are made and know that critical decisions involving hiring, promotions, or career progression continue to require human judgment. When AI is implemented responsibly, it becomes an enabler that helps employees adapt to changing skill requirements and prepare for future roles, rather than something they need to fear.

What tasks are being assigned to AI and how is the potential of the human workforce being used to the best advantage of your organisation?

AI is best suited for handling data-intensive and repetitive tasks such as skills mapping, workforce analytics, talent recommendations, career pathing, workforce planning and identifying learning opportunities at scale. These are areas where AI can process large volumes of information much faster than traditional systems.

Human expertise, however, remains central to decision-making. Managers, HR leaders and business leaders bring context, empathy, strategic thinking; and relationship-building capabilities that AI cannot replicate. The most successful organisations are those that use AI to provide actionable insights while allowing people to make informed decisions that balance business objectives with employee development.

What are the challenges in integrating AI adoption in your industry segment?

The biggest challenge is not the technology itself but organisational readiness. Many organisations still operate with fragmented workforce data across multiple systems, making it difficult for AI models to generate meaningful insights. Data quality, integration with existing HR technology and change management therefore, become critical success factors.

Another important consideration is building trust. Organisations must ensure responsible AI practices by maintaining transparency, protecting employee data, reducing bias and keeping humans involved in key decisions. AI adoption succeeds when employees see it as a tool that supports their growth and enables better career opportunities, rather than as a mechanism for surveillance or replacement. As AI continues to evolve, organizations that combine robust technology with responsible governance and a people-first approach will be best positioned to unlock its full potential.