Workforce AI readiness

AI is rewriting your roles. See how, role by role.

We read every job posting in the Netherlands and measure how AI changes what each role asks for. Then we show you where your vacancies and your people stand.

Free to start. No HRIS integration needed.

AI jobs market, Netherlands, updated 4 Nov 2026. 12+ month history.

AI jobs tracked
11,714
companies hiring for AI
3,376
new AI jobs in 7 days
1,334
remote or hybrid
81.4%

The shift

AI is inverting roles faster than org charts can follow.

We measure which AI skills companies are hiring for, role by role and week by week, not what they claim in a strategy deck.

31%Example

of non-technical postings now ask for a data or AI skill: Copilot, GenAI, prompt-writing

14moExample

before the average role description goes stale on its AI requirements

1 in 3Example

of your people are training for a role AI is already redefining

How it works

One role. Two gaps.

Gap 1: who you hire

Your posting describes the old role

So the wrong people apply. We rewrite each listing for the role as it will exist, and the right candidates arrive on their own.

Gap 2: who you have

Your people trained for the old role

So your workforce drifts out of relevance. We give each employee a named path to that same redefined role.

We close both against the same target: what the live market asks for today, measured from every public job posting.

Posting check

Is your job posting already out of date?

Share of 1,644 Data Engineer postings asking for each skill

  • SQL58%
  • Python54%
  • Cloud Data Platforms30%
  • Data Modeling26%
  • Data Pipeline Automation17%
  • Data Pipeline Orchestration14%
  • Data Governance14%
  • MLOps Fundamentalsoften missing13%

AI skills employers are adding

  • MLOpsrising
  • Vector Databasesrising
  • Feature Engineeringrising

Skills candidates most often lack

  • Vector Database Managementoften missing
  • Feature Store Managementoften missing

Based on public postings, updated 14 Sept 2026. Measures what companies hire for, not whether those hires succeed.

What you get

Hire for the job it is becoming, not the job it was.

Every role scored on its AI exposure and where it is actually heading. Then rewritten, so the people who apply are the ones who will still fit in three years. And each person you already have gets a named path to the same target.

Example

Your posting today

31
  • Excel modelling
  • Variance reporting
  • Month-end close
  • Stakeholder decks

The role, as it will exist

78
  • Model validation
  • Agent-assisted forecasting
  • Data judgment
  • Scenario design

Who you already have

AV

Anna V.: 71% ready for the new role

8 months · €12k to reskill · vs €95k to hire externally

Workforce AI readiness, every quarter

Readiness rose from 34 to 68 over four quarters205080Q1 · 34Q2 · 47Q3 · 58Q4 · 68

Your teams

Where each team is, and where it can get to.

Every posting you have ever published, clustered by function. Each team scored on readiness today, with the reachable position after reskilling. The dashed line is where your sector is converging.

Example company
TodayReachable in 4 quartersSector median · 54
Finance340 people
+46
2874
Operations520 people
+32
3668
Legal90 people
+22
3153
Marketing210 people
+28
5179
Engineering410 people
+14
7892
0255075100
Finance sits furthest below the sector median and carries the largest achievable lift. That is where a programme starts. Engineering is already ahead of the median; spending there is waste.

Sector context

How fast the ground is moving under you.

Your target is not arbitrary. It is calibrated against what companies in your sector are actually hiring for, measured from public postings, so it reflects observed intent, not self-reported maturity. Peers are anonymised.

Example sector

Where you sit

AI readiness across 34 peers in your sector

You · 47
0–2020–4040–6060–8080–100
You are mid-pack. Position is the least interesting thing on this page.

How fast you are moving

Readiness trajectory, 8 quarters

Readiness trajectory over eight quartersFastest quartile moved from 48 to 74. Sector median moved from 42 to 54. You moved from 43 to 47.204060807454478 quarters agonow
Fastest quartileSector medianYou
Flat is the finding. Your position is fine; your slope is the problem.

Observed hiring signal only. This measures what companies are recruiting for, not whether they are succeeding at it. We say so because the distinction is the difference between an analyst and a vendor.

+2

points of readiness gained per year at your current rate

+13

points per year in the fastest quartile of your sector

14 yrs

to reach where the leaders already are, unless the slope changes

How it's measured

Where the data comes from

Public job postings, normalised and clustered on skills and responsibilities.

What it measures

What companies hire for, not whether those hires succeed. It is not a forecast of job loss.

Privacy

GDPR compliant, no HRIS integration to start, employee data only with opt-in.

Baseline

Start with the baseline, not a sales call.

Send us your roles. We send back your Workforce AI readiness score and three rewritten roles. Free, in five days.

We use your email to confirm your place on the list, to reach you when your baseline is ready, and for occasional product updates about /#roles. Every email carries an unsubscribe link. See our legal and privacy documents.

Know where your roles are going.

Check a job posting, free