Zara

ODON Data Story — 2026

The Hidden Labor
of Relocation

What skilled migrants do before the job offer exists — and what the official data says about those invisible months.

Meet Zara your narrator
Senior UX Designer. 1+ year into her relocation journey. She'll guide you through the data — with receipts.
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167.7M migrant workers
39.6% overqualified
Dutch A2 ✓
9,000+ IND sponsors to check
Hi, I'm Zara — UX designer, data nerd, and aspiring Amsterdam resident. Let me show you what relocation really looks like.
0M
Migrant workers in the global workforce
ILO, 2024
0M
First EU residence permits issued, 2024
Eurostat, 2024
0K
EU permits to Indian nationals, 2024
European Commission, 2024
excited
Hi! I'm Zara — Senior UX Designer, currently navigating a cross-continent relocation. I've spent the last year turning this process into a research project. The data is fascinating. The system design? Needs work. Let me show you what I found.

01 — The opportunity

Relocation is one of the most
researched decisions a person makes.

For skilled professionals, international relocation is a deliberate, strategic move — a better role, a more global career, a different quality of life. The motivation is strong and the preparation is serious.

What's less visible is the sheer scope of that preparation. Relocation isn't one decision — it's a system of hundreds of smaller ones, each requiring research, timing, and precision.

Understanding that system is the first step to designing it better — for candidates, employers, and the countries actively competing for global talent.

4.7%
of the global labour force are international migrant workers — 167.7 million people actively contributing across bordersILO 2024
50%+
of EU jobs created 2019–2024 were filled by non-EU workers, despite being just 6.6% of the EU labour force — the demand is realCaixaBank Research 2025

02 — The preparation

A relocating candidate runs
a parallel research project
alongside the job search.

A local candidate prepares for the role. A relocating candidate prepares for the role and the visa route, the employer's sponsorship status, the country's hiring norms, the language expectations, and the salary threshold — before the first application is even sent.

In the Netherlands, a Highly Skilled Migrant needs to work with an IND-recognised sponsor — 9,000+ companies on the register, updated monthly. Cross-referencing that list against every job posting is standard practice.IND / DutchReview 2026

The salary threshold stands at €5,688/month for applicants over 30. Knowing the rules this precisely is what separates a targeted application from a wasted one.

Checklist comparison

Local

3
tasks to prepare

Relocating

12
tasks — a structured research sprint
focused
Here's what I mapped after month one: the filtering happens before the portfolio opens. Location gate. Sponsorship check. Salary band. That's three decision points before any human sees the work. Once I understood the system, I could navigate it.

03 — The filtering system

The hiring funnel has layers
most candidates never see.

Understanding where applications drop off is the first step to targeting more precisely. For international candidates, the funnel narrows earlier — not because of skill, but because of eligibility criteria that are applied before the work is ever reviewed.

The data reveals a clear gap: non-EU citizens in the EU face an unemployment rate of 12.3% — nearly 2.5× higher than nationals at 5.1%. That gap isn't about capability. It's about system design.Eurostat 2024

Approximately 1 in 3 highly educated migrants in OECD countries is overqualified for their current role — skills that exist, going underutilised.OECD / Migration Policy Institute 2024

Local-sounding name

~27%
callback rate, leadership roles
KCL / 12,000 applications

Non-local name

~11%
same roles — identical resume
KCL research, 18 countries

95%+ of 123 resume studies found name-based filtering in hiring — making targeted outreach and warm introductions structurally more effective than cold applications.The Conversation / KCL 2021–24

What happens to 100 applications sent from outside the EU

Applications sent
100
Allow non-EU applicants
~65
IND recognised sponsors
~30
Recruiter replies
~15
Interviews
~6
Final rounds
~2
Offer
~1

Knowing the funnel shape changes the strategy — fewer, more targeted applications beat volume every time.

04 — The invisible work

What doesn't show on a CV
is still real skill.

WATERLINE Job Offer The visible outcome Resume tailored per application IND sponsor list cross-checked Visa category researched Salary threshold verified Dutch language learning (A2) Portfolio revised for local norms City and housing research Networking across time zones Cold outreach to recruiters Community decoding of systems Resilience and recalibration Strategic patience

The preparation that doesn't
appear on the application
is the preparation that matters most.

Navigating immigration law, learning a language, mapping an entire country's hiring infrastructure — these are not soft skills. They are evidence of research rigour, systems thinking, and cross-cultural adaptability.

Employers who can read below the waterline find candidates who have already demonstrated exactly what global roles require.

39.6%
of non-EU migrants in EU are overqualified — untapped potential in the system
Eurostat 2024
2.5×
unemployment gap — a system inefficiency, not a talent gap
Eurostat 2024
determined
Month 7. I had mapped the entire IND sponsor list into a Notion database, cross-referenced by company size and design team. The waiting is real — but so is the system I built to navigate it. Every slow month taught me something the job description didn't mention.

05 — The resilience curve

Progress in a long search
doesn't move in a straight line.

Every serious job search has a rhythm of momentum and recalibration. For international candidates, those cycles are sharper — each milestone brings genuine progress, each setback reveals something useful about how the system actually works.

The candidates who succeed aren't the ones who never drop — they're the ones who treat every data point, positive or negative, as information.

Energy and momentum over 12 months: builds with portfolio updates and certifications, recalibrates after filtering moments, accelerates through community and interview stages.
▲ Portfolio update / language cert / interview ▼ Setback / recalibration point ◆ Community intelligence

The in-between is not wasted time. It is where the research deepens, the language improves, the network grows, and the strategy sharpens. It is, quietly, where the candidate becomes ready.

06 — The global scale

The numbers show
a massive, underserved talent pool.

167.7M
International migrant workers globally — a workforce larger than most countries' entire populations
ILO Global Estimates 2024
6.2M
New permanent immigrants in OECD countries in 2023, still 15% above 2019 — structural demand is sustained
OECD Migration Outlook 2024
31.9%
of first EU residence permits in 2024 were for employment — the single largest reason people move
Eurostat 2024
43.9%
of Indian nationals receiving first EU permits in 2024 came for work — the highest employment share of any major group
European Commission 2024
9,000+
Companies in the Netherlands already set up to sponsor — a larger opportunity pool than most candidates realise
IND Public Register 2026
12.3%
Non-EU unemployment in EU: real, but down from 21.4% in 2014 — the trend is improving with better system design
Eurostat 2024

Over-qualification rates in the EU, 2024 — a design gap, not a skills gap

EU Nationals 21%
Other EU citizens 30%
Non-EU citizens 39.6%

Source: Eurostat, Migrant integration statistics — over-qualification, 2024. The gap has narrowed by 6 points since 2014.

determined
I mapped the hiring journey as a service blueprint — candidate side, employer side, system layer, pain points. Every friction point I hit is a design opportunity someone hasn't solved yet. That's not a complaint. That's a brief.

07 — The design opportunity

The relocation journey is
a user journey — and it's
ready to be redesigned.

Every friction point in the international hiring journey is a design problem with a known solution. Clear sponsorship status in job posts. Transparent visa guidance at the application stage. Human-reviewed rejections for qualified international candidates.

The companies that solve these first won't just hire better — they'll access a talent pool that their competitors have systematically excluded.

Non-EU citizens are more than twice as likely to hold temporary contracts (22.5% vs 10.9% for nationals)Eurostat 2024 — but that too is closing. The employers moving fastest are the ones treating inclusion as a product problem, not a policy problem.

This is a solvable design problem.

Candidate actions
Research → Apply → Message → Wait → Apply again → Iterate strategy
Employer actions
Post → Auto-screen → Filter by location → Interview → Decide → Communicate
System layer
ATS · IND register · Visa rules · Salary threshold · Location gate
Design gaps
Unclear sponsorship status · Generic rejections · Missing visa guidance · No feedback loop · Location assumptions

Service blueprint — international hiring journey. Every gap is a brief.

focused
Then I started researching AI hiring tools — because that's what UX designers do with systems they're navigating. 83% of companies use them. 61% of non-native writing gets flagged as AI-generated. These are calibration problems. And calibration problems get fixed when someone names them clearly enough. That's what this story is.

08 — The AI layer

AI scaled the hiring system.
The question is: which version?

Since 2023, AI has become standard infrastructure in hiring. By 2025, 83% of companies use AI to screen resumes — up from 48% the previous year. The efficiency gains are real. So is the question of what the models were trained on.ResumeBuilder / CoverSentry 2025

For skilled migrants, AI adds a new layer to navigate — on top of location filters, sponsorship checks, and salary thresholds. Models trained on historical hiring data tend to reflect historical hiring patterns.

A University of Washington study testing three million resume comparisons found a consistent name-based preference pattern in leading AI hiring models — a signal that the training data, not the candidates, needs to change.Brookings / UW 2025

Stanford researchers also found that non-native English writing was flagged as AI-generated 61% of the time by AI detectors — because the "predictable" sentence structures of second-language writing match AI output patterns. A carefully written cover letter in a third language, flagged before a human reads it. That's a calibration problem with a known fix.Stanford HAI 2023, confirmed 2025

AI in hiring, 2025
83%
of companies use AI to screen resumes
ResumeBuilder 2025
50%
of candidates screened by AI before any human review
CoverSentry 2025
67%
of companies admit their AI tools could introduce bias
ResumeBuilder 2025
26%
of job seekers trust AI to evaluate them fairly
Gartner, July 2025
The AI detector trap for non-native writers
Native English writing — flagged as AI ~2%
Non-native English writing — flagged as AI 61%
Stanford HAI, 2023 — confirmed across 7 AI detectors, widely replicated through 2025

AI model name preference patterns — University of Washington / Brookings, 2025
3M+ resume comparisons — shows training data bias, not candidate quality

Source: Kyra Wilson & Aylin Caliskan, Brookings Institution / University of Washington, 2025

determined
But here's the thing — the regulators caught up. The EU AI Act now classifies AI hiring tools as high-risk. From August 2026, every AI screening tool used on EU candidates must pass bias audits, human oversight requirements, and transparency checks. It's late. But it's happening.

08b — The regulatory response

The law is catching up
to the algorithm.

The EU AI Act — in force since August 2024 — classifies AI tools used in recruitment as high-risk AI systems. From 2 August 2026, every employer using AI screening in the EU must conduct mandatory bias testing, maintain technical documentation, ensure human oversight, and notify candidates.EU AI Act / DLA Piper 2026

The ban on emotion recognition AI in workplaces — one of the most discriminatory tools — came into effect on 2 February 2025.EU AI Act, Article 5

California followed with its own AI hiring regulations effective October 2025, requiring human oversight on all AI-driven rejections and meaningful alternatives for candidates disadvantaged by automated systems.California Civil Rights Council 2025

In the landmark Mobley v. Workday case, Judge Rita Lin conditionally certified a class action in May 2025 — Workday's own filings disclosed roughly 1.1 billion applications rejected by its AI tools since 2020.NDCA / JobCannon 2026

For skilled migrants, these regulations matter enormously: AI tools trained on historical data encode the same location, name, and language biases that human screeners already carry — and they run at scale, silently, with no feedback loop.

EU AI Act — hiring compliance timeline

Aug 2024
EU AI Act enters into force
Feb 2025
Ban on emotion recognition in workplaces takes effect
Oct 2025
California AI hiring regulations — human oversight mandatory
Aug 2026 ← now
High-risk AI obligations enforceable across EU — mandatory bias audits, documentation, candidate transparency
2027
Active penalties begin — fines up to €35M or 7% of global turnover

09 — Official data reference

What the official data actually says.

StatisticFigureSource & year
International migrant workers worldwide167.7MILO, 2024
Share of global labour force4.7%ILO, 2024
Non-EU citizen unemployment in EU12.3%Eurostat, 2024
EU national unemployment rate5.1%Eurostat, 2024
Non-EU over-qualification rate (EU)39.6%Eurostat, 2024
First EU residence permits, 20243.5MEurostat / EC, 2024
Indian nationals — EU permits, 2024192,400European Commission, 2024
NL IND recognised sponsors9,000+IND Public Register, 2026
Resume studies showing ethnic discrimination95%+KCL / 123-study meta-analysis, 2024
Companies using AI resume screening, 202583%ResumeBuilder, 2025
Candidates screened by AI before human review50%CoverSentry, 2025
Non-native writing flagged as AI-generated61%Stanford HAI, 2023–2025
Job seekers who trust AI hiring to be fair26%Gartner, July 2025
EU AI Act high-risk compliance deadlineAug 2026EU AI Act / DLA Piper, 2026
Workday AI — applications rejected since 20201.1BMobley v. Workday, NDCA 2025
hopeful
Non-EU workers filled 50%+ of new EU jobs 2019–2024 — while being just 6.6% of the labour force. The EU AI Act gives hiring tools a compliance deadline of Aug 2026. The regulations are catching up. So am I. Dutch A2: done. Tulip fields: next.

Relocation is movement
through systems —
and systems can be redesigned.

The hidden labor is real. So is the opportunity. The candidates doing this work are demonstrating exactly the skills that global roles require: research rigour, systems thinking, cross-cultural fluency, and strategic patience. The question for employers is whether their hiring process is designed to recognise them.

167.7M
migrant workers worldwide
50%+
of new EU jobs 2019–24
Aug 2026
EU AI Act compliance deadline

Data sources