We talk about labour market shortage as if it were a force of nature. As if it simply happens to us. There are too few people. Full stop. But what if that is not the whole story?

What leaders need to organise differently to get talent really moving

In recent years attention has shifted from unemployment to vacancies without candidates. Yet an uncomfortable reality often stays underexposed: organisations have more potential than they can see themselves. Not because people are hidden. But because work is still organised the wrong way.

We organise work as if tasks do not change

Most organisations still work with job architectures that were designed for stability. While work changes continuously at task level. New technology adds tasks. Other tasks disappear. Competencies shift. But jobs often stay the same. That means someone is officially “not suitable”, while he or she can perhaps already do 80 per cent of the work. The difference lies in tasks, not in potential. That is where the problem starts.

We look at CVs, not at capability

In many organisations matching still revolves around diplomas, job titles and years of experience. That feels safe. Measurable. Verifiable. But it is also limiting. Because talent is broader than a CV. And work is more specific than a job title.

When organisations switch to skills-based thinking, the question changes fundamentally. No longer: who fits this job? But: what work needs to be done and who can contribute to it? That small difference opens up space.

Technology makes visible what used to stay hidden

AI is often presented as the solution to shortage. That is too simple. What AI mainly does is widen the view.

It makes visible:

  • which skills people already have
  • where the capacity to learn sits
  • where internal mobility is possible
  • where the real skills gaps lie

But not all AI does that in the same way.

Classic matching systems mainly search on keywords and job titles. Generic AI models are strong on language and patterns, but do not understand the labour market as a coherent system. They predict probability, but miss context.

Specialist AI, trained on labour market data, works differently. It recognises not only separate skills, but also the relationships between skills, tasks, roles and learning paths. AI matching technology – such as the technology being developed in the Netherlands by 8vance – shows what that difference means in practice. Matching is then not only about hard skills, but also about ambitions, the capacity to learn and context. Not a static comparison between CV and vacancy, but a dynamic calculation of potential and room to develop.

But insight alone changes nothing. Visibility is not a solution in itself. It takes leadership to make choices and organisations to organise differently.

Shortage is often a design question

Many organisations look outside for talent, while movement is possible internally. Not because people do not want to, but because structures do not allow it.

Internal mobility runs aground on:

  • job descriptions
  • budget structures
  • managers who hold on to talent
  • systems that only support vertical growth

Shortage is then not a lack of people, but a lack of flexibility in design.

The real question is not: how do we find more people? The real question is: how do we organise work more intelligently?

From internal mobility to shared talent

There is another step that more and more organisations are taking. Not only looking more intelligently inside. But also working together differently outside.

More and more often initiatives are emerging in which organisations share talent with each other. Sometimes that is called a private talent cloud: a form of collaboration in which organisations give insight into their talent pool and help each other to keep people moving sustainably.

That can for example mean that:

  • rejected but promising candidates are shared directly with partner organisations
  • employees do temporary projects at other organisations
  • career paths are set up across organisational boundaries
  • regional talent ecosystems emerge in which employers, education and government work together (see for example De Riverboard)

The starting point changes fundamentally. Not: how do I keep talent inside? But: how do I make sure talent keeps moving, even if that is temporarily outside my organisation? In a tight labour market that is not a loss. It is maturity.

AI as the engine of a talent ecosystem

As soon as organisations start sharing talent, insight becomes crucial. AI can play a decisive role here. Not as a replacement for human judgement, but as a tool that makes visible:

  • what someone can actually do
  • what someone wants to learn
  • where development potential sits
  • which tasks, roles or projects are a good fit

On the other side, AI can break down work itself: splitting jobs into tasks, projects and the skills needed. When it is clear on both sides what is possible and what is needed, matching becomes less guessing and more calculating.

Work can then be distributed more intelligently. Within teams. Within organisations. And even across organisations. Imagine an AI agent at work inside the HR system of an organisation. An agent that not only searches in its own talent pool, but can also communicate with the AI agents of partner organisations. No CVs that get forwarded. But anonymised skill profiles that are compared automatically. With the consent of those involved, of course.

A system that can signal: This professional may be a better fit for that project over there. This candidate can develop faster via that organisation. This temporary assignment prevents someone leaving and shortens a vacancy elsewhere. That sounds futuristic. But the building blocks already exist.

Employment intermediaries are moving in this direction too. No longer only matching to a vacancy, but guiding people through their careers across several organisations. That creates a new combination of flexibility and security.

Not stuck in one job. But not adrift in an anonymous market either.

From competition to ecosystem

The real shift is not in technology. It is in mindset.

When organisations no longer see talent as property, but as a shared responsibility, a different playing field emerges. Regional talent ecosystems then become more realistic than endlessly competing for the same scarce profiles.

AI makes this scalable. Transparency makes it possible. Leadership makes it credible. The labour market of tomorrow is not only about organising more intelligently within the walls of one organisation. But about working together more intelligently across those walls.

The future of work does not come about because more people arrive. But because we learn to see better what is already there – and have the courage to do something with it together.

Published on Speakers Academy