How humans can lead as AI transforms work

THE true promise of artificial intelligence lies not just in efficiency but in how organisations and individuals build skills intelligence – the ability to understand, map and mobilise human and AI capabilities in tandem.

Singapore’s Budget 2026 recognises that AI adoption, especially in enterprises, is non-negotiable for global competitiveness.

The future of work will need to be less about protecting specific job titles and more about empowering individuals to remain agile in an ever-shifting global value chain.

For Singapore to remain competitive, accelerating this transition towards a skills-based economy will be critical.

A skills-centric approach

To navigate AI-driven change in the workplace, Singapore must shift towards a skills-based economy that gives both employees and employers greater agility.

For newer entrants to the workforce, the challenge will be reframing careers as evolving portfolios of capabilities rather than rigid titles and roles.

For organisations, this means enabling more precise and dynamic deployment of talent based on current needs. By focusing on skills, organisations can identify gaps earlier and align workforce planning with business priorities.

When workers can effectively identify their current and evolving competencies, the prospect of career pivots turns into an “upgrade” rather than a “restart”.

This skills-centric approach clarifies the human capabilities that would become even more valuable in an AI-driven world: ethical judgement, empathy and critical analysis.

In Singapore, where talent is our most important resource, a skills-based economy is vital to ensuring that workers can seize new and emerging opportunities driven by innovation.

Developing “skills intelligence”

Singapore’s move towards a unified national skills taxonomy under the Skills Framework 2.0 supports this shift by creating a common language for skills across sectors.

This makes it easier to compare, transfer and build capabilities across industries, while improving workforce planning at both organisational and national levels.

However, a skills-based approach is only as effective as the quality of the underlying data and the insights extracted from them.

True skills intelligence blends granular skills data with strategic insight, allowing organisations to see not just what skills exist, but how they evolve in response to technology.

This means drawing on signals such as internal mobility data, skills profiles, performance trajectories, workload patterns and role demand across the organisation.

Taken together, these data points help leaders see where talent exists in the business, where capability gaps are forming, and which employees may be ready for stretch opportunities or advancement.

For example, when a company expands into a new market or launches a new business line, skills intelligence can surface internal candidates whose experience closely matches the new requirement, rather than defaulting immediately to external hiring.

It can also highlight when a high performer may be under or over-utilised; or when compensation, workload or career progression signals suggest that a valued employee could be at risk of leaving. In this way, workforce planning becomes more proactive and more human.

The most useful systems also do not wait for vacancies to appear. By continuously mapping skills, aspirations and adjacent capabilities, they can suggest internal moves, stretch assignments and targeted development before a gap becomes a problem.

That kind of foresight is especially valuable in fast-changing sectors, where skills can age quickly and business needs can shift in months, not years.

As skills data becomes more granular and dynamic, human resource (HR) professionals will increasingly need to understand how to validate skills signals, integrate data and translate insights into actionable decisions.

In this sense, HR is evolving into a more strategic, data-driven function, working closely with business leaders to anticipate skills demand rather than react to shortages.

From “tools” to “co-workers”

The next evolution in AI will see a shift from generative AI to agentic AI where autonomous agents chain multiple decisions and execute multi-step tasks – operating alongside humans as co-workers rather than mere tools.

Responsible deployment of agents requires governance, oversight and ethical leadership.

Leaders need a comprehensive understanding of human and AI capabilities to decide which tasks are best performed by humans, AI or collaboratively, and to design workflows that harness both human judgement and machine precision.

This new dynamic elevates the importance of inherently human skills – those that cannot be easily automated.

The workforce will need to be skilled in human-centric competencies such as establishing trust, performing sophisticated critical analysis of agent outputs, and applying nuanced ethical judgement to automated decisions.

At the same time, new technical literacies – such as prompt design and AI supervision – will become the norm.

This combination of AI-focused and human-centric skills will soon form the baseline for an “AI-fluent” workforce that defines the modern employee.

The foundation of strategic agility

Singapore’s next frontier is developing national-level skills intelligence, and with that also comes the ability to anticipate change before disruption hits.

For business leaders, this will be the foundation of strategic agility: understanding capability signals, accelerating upskilling decisions, and designing teams that thrive alongside technology.

By embracing a skills-first philosophy and leveraging real-time data to bridge capability gaps, we can ensure that every worker has a seat at the table in the AI-driven future.

The writer is director of corporate affairs, Asia-Pacific and Japan, at Workday