AI helped 3,000 people find jobs in Kazakhstan: how the digital service works

How the new service works

Kazakhstan is testing a proactive digital employment service. With a person’s consent, the system builds a résumé from education, experience and skills data, while an AI assistant selects suitable vacancies. The jobseeker can respond, after which the employer sees the profile and may invite the candidate to an interview.

The pilot has operated in the Pavlodar and Mangystau regions since July 2026. In 2 months, it sent 59,000 notifications and about 3,000 participants found work. The project includes recently unemployed people, university and college graduates and registered jobseekers.

More than a vacancy list

When skills are missing, the system offers free Enbek Skills courses, dual training with an employer or support for relocation to a region facing labour shortages. This route is more useful than a simple mailing list because it tries to close a specific gap between a person’s profile and a job’s requirements.

How effectiveness should be measured

The 59,000 messages cannot automatically be treated as 59,000 good matches, and placement alone does not prove that a new job will last. Relevant measures include match quality, time to hire, pay, retention after several months and the ability to refuse data processing without losing access to ordinary services.

If recommendation quality survives nationwide expansion, AI can become a useful labour-market intermediary. If the main metric remains notifications sent, the service risks becoming another mass mailing system.

Sources: Kazakhstan’s Ministry of Labour and Social Protection and the Government of Kazakhstan. Photo: Government press service, CC BY 4.0.