Recruitment challenges 2026: why skills gaps are pushing companies to hire globally

The hardest roles to fill share a common feature: they require specialist knowledge that formal education has not caught up with. AI engineering, machine learning, cloud infrastructure, cybersecurity and advanced data analysis are all areas where demand far exceeds supply in most individual markets.

ManpowerGroup’s 2026 data is clear on where the pressure sits. AI model and application development (20%) and AI literacy (19%) now lead the global ranking of hardest-to-find skills, displacing traditional IT and data capabilities for the first time.

Nearly four million cybersecurity roles remained unfilled globally in 2025, and only 15% of organisations expect meaningful improvement in cyber skills availability by 2026, according to the World Economic Forum.

This is not a problem you solve by offering a better salary in your home market. The candidates are not there in sufficient numbers. Companies closing these gaps are expanding where they look, not just how much they offer.

Where technical talent does exist locally, the competition for it has driven compensation to levels that stretch or exceed most companies’ budgets. Candidates in high-demand fields know their value, and bidding wars between employers have become routine in markets like the US, UK and Western Europe.

Hiring globally is not about finding cheaper labour. It is about accessing skilled professionals in markets where compensation expectations are competitive but not distorted by the same extreme supply-demand pressures.

Understanding how employment costs vary across countries is the starting point for making informed offers that work for both the company and the candidate. Many companies report finding strong talent at total employment costs that make the numbers work, without compromising on quality or underpaying people.

If your company is open to remote hiring, so is everyone else’s. A developer in Lisbon or a data analyst in Warsaw is not competing for local roles alone. They are being approached by companies in San Francisco, London and Amsterdam simultaneously.

That raises the bar for how you approach international hiring. Speed matters. Clarity on compensation and working arrangements matters. And your ability to actually employ someone compliantly in their country, without weeks of legal back-and-forth, matters more than most hiring managers appreciate.

There is an additional complication. AI tools have made it trivially easy for candidates to generate and submit applications at volume. Recruiters are spending more time filtering noise than identifying talent.

The candidates worth hiring are still out there. They are just harder to reach when your pipeline is flooded with AI-optimised applications from people who may not have read the job description. Speed and precision in your hiring process are no longer optional.

In a competitive market, strong candidates do not wait. The gap between identifying someone good and getting a signed contract has compressed dramatically. If your process takes months, the person you wanted has already accepted another offer.

Cross-border hiring makes this worse if you are doing it the hard way. Setting up a legal entity in a new country to employ a single person takes months and costs tens of thousands.

Waiting that long is not cautious. It is a guaranteed way to lose the hire. Companies that have solved this use an Employer of Record to onboard international hires in days, not months.

Employment law varies enormously between countries. Contracts, termination rules, statutory benefits, tax obligations, social contributions. What is standard in one market can be completely different in another. These are the kinds of differences that lead to the most common global hiring mistakes.

The barrier is not just legal risk, though that is real. The bigger problem is that fear of getting it wrong paralyses decision-making.

Teams that should be hiring spend months trying to understand the rules, by which time the talent they wanted has moved on. Reducing compliance friction is one of the clearest gains from working with an experienced EOR provider.

The skills shortage is a local problem. Globally, the talent pool is considerably larger. An EOR removes the structural barrier (no local entity, no local legal knowledge) that keeps most companies fishing in the same overcrowded markets. You hire where the skills are, not just where your office is.

Rather than months spent establishing a legal presence, you onboard a hire in days. Contracts are prepared using locally compliant templates. Payroll is set up. The employee starts. For roles where the skills gap is acute and competition is fierce, this is often the difference between landing the person you want and losing them to a competitor who moved faster.

Your EOR provider takes on the employer of record responsibilities in each country, staying current with local employment law, managing statutory obligations and ensuring your people are properly employed. Your internal team focuses on finding the right candidates, not researching employment regulations in countries they have never hired in before.

This is not just about reducing legal risk, though it does that. It is about removing the hesitation that kills hiring decisions. When you know the compliance is handled, you move at the speed the market demands.

Hiring across borders does more than solve a headcount problem. Geographically and culturally diverse teams consistently outperform homogeneous ones on problem-solving and innovation. A team spread across multiple markets is also less exposed to disruptions in any single economy.

The companies that have embraced global hiring are not just filling gaps. They are building teams that are harder to replicate and more adaptable to change.

Technology and software faces the most acute shortages, particularly in AI, machine learning, cybersecurity and cloud infrastructure. ManpowerGroup’s data shows the Information sector reporting 75% hiring difficulty, the highest of any industry globally. Demand has accelerated faster than any training pipeline can respond.

Financial services and fintech are competing for a small pool of candidates who combine domain knowledge with technical skills: risk analysts who understand machine learning, compliance specialists who can work with blockchain. Finance and insurance report 71% hiring difficulty globally.

Healthcare and life sciences face a combination of demographic pressure (ageing populations needing more care) and slow-moving training pipelines for clinical and research roles. Regulatory complexity adds another layer for companies looking to hire across borders.

Renewable energy and cleantech is scaling rapidly but drawing from a talent pool that has not had decades to develop. Engineering and project management skills in this space are in short supply almost everywhere.

Professional services, particularly consulting, legal, and accounting firms, are finding that junior talent pipelines have thinned as career expectations shift. Mid-level experienced hires are increasingly mobile and harder to retain.