Find out why workforce resilience depends on talent intelligence 

Organizations are under increasing pressure to move faster, transform smarter and deliver stronger performance. But many are doing so with an incomplete view of the workforce risks that could slow them down.

Talent scarcity, shifting skills demands, rising burnout risk and artificial intelligence (AI) disruption are now business issues, not simply human resources (HR) concerns. Leaders may have more workforce data than ever before but data alone does not build resilience. Advantage will come from knowing what evidence matters, what it means for the business and where action is needed before risk becomes constraint.

This is where talent intelligence becomes critical. Workforce resilience is no longer just about responding well to disruption but seeing risks earlier and acting before they restrict growth.

Global Talent Trends 2026 Leap forward with insight report shows why this shift matters. Talent scarcity is now the top macro driver influencing C-suite people plans while 59% of HR leaders say difficulty attracting talent with vital digital skills is a top workforce challenge, up from 48% in 2024. At the same time, concerns about burnout, low engagement, productivity and absence have risen sharply. The message is clear: transformation depends on talent, not technology alone.

For many organizations, workforce resilience has traditionally been built through broad planning cycles, engagement surveys and reactive interventions. These still matter but, as AI reshapes work and business models evolve, leaders need a more dynamic view of where skills gaps, critical talent risks, productivity pressures and employee experience challenges are emerging. And lagging metrics that describe the state of play rather than drive action, miss the mark. 

Global Talent Trends finds that 55% of executives say their organization underuses the workforce intelligence it already has. Only 27% believe their HR team effectively advises them on human capital risks and opportunities. 

But data is not the issue. Most organizations have an action problem dressed up as a data problem. They do not need more dashboards. They need sharper workforce foresight: the ability to identify the risks that matter, understand their business implications and decide what to do next. 

Leaders also need to watch for new forms of workforce risk created by AI itself. As automation strips out more repetitive work, what remains for people may be more cognitively demanding: judgment calls, escalation decisions, signoffs and work that requires constant context-switching. Measuring AI adoption without also measuring human capacity risks mistaking short-term productivity gain for sustainable performance. 

In a more volatile environment, workforce intelligence needs to be treated with the same discipline as financial, operational and market intelligence. Leaders would not ignore evidence of revenue pressure, shifting customer demand or supply chain disruption. Workforce risks deserve the same attention.

Some organizations are already applying more discipline to workforce decisions. Three-fifths (59%) of executives believe their organization treats strategic workforce planning with the same rigour as financial planning. And 79% of executives agree that having better insight into talent capabilities is key to delivering outsize performance.

This shifts people analytics from reporting what has happened to anticipating what could happen next. Which skills will become more valuable? Which roles are changing fastest? Where can talent be redeployed rather than replaced? Where could the AI skills gap become a constraint on transformation? How effective is the organization in scaling individual productivity gains to the enterprise?

The risk is that organizations invest in analytics capability without changing how decisions are made. Talent intelligence only creates value when it moves from observation to intervention, shaping where leaders invest, where they redeploy talent and where they act to protect performance. Yet only half of executives agree they have the right talent insights to effectively inform business strategy. 

The key step is to make action auditable. If a listening tool flags attrition risk or a skills platform identifies a redeployment opportunity, then leaders need to know what happened next. 

Did the prompt reach the right manager? Did the right conversation or intervention happen? Did the employee experience change? Resilience is strengthened when the loop between insight, decision and action becomes visible and weakened when insight disappears into another dashboard. 

As AI becomes more embedded in talent processes, this discipline becomes more important. AI is not yet mainstream in many areas of talent management: only 31% of organizations use it in internal talent management today and only 25% in strategic workforce planning. Yet HR leaders expect use to rise sharply across skills gap analysis, predictive workforce planning, talent marketplaces and work redesign. 

AI will not automatically improve talent decisions. In strong systems it can surface hidden skills, workforce patterns and development needs faster. In weak systems it can simply make flawed decisions faster too. This makes governance more than a compliance issue. As workforce intelligence becomes more predictive, leaders need clear guardrails around how data is used, which decisions humans own and how AI-supported recommendations are reviewed. 

For HR, this is the moment to move resilience from a talking point to an active business discipline, grounded in evidence and linked directly to growth, productivity and transformation. 

This means moving from reporting workforce data to shaping workforce decisions. HR can help leaders understand the talent implications of business choices: where the organization has capacity to grow, where capability is fragile, where skills are being lost and where investment will have the greatest impact. 

It also means strengthening talent practices that may not be moving fast enough. Our report notes that lateral moves have declined significantly, while more employees still see career progression as being based on tenure, rather than skills. Two strategies that drive greater workforce agility. And you can see that even when there is the data, the ability to use it for decision making lags: only 35% of HR leaders believe their talent data enables them to quickly identify who might be most suitable for a role or assignment.