Kazakhstan's AI revolution cuts social aid recipients by 73% in three years
Kazakhstan's AI revolution cuts social aid recipients by 73% in three years
Kazakhstan's AI revolution cuts social aid recipients by 73% in three years
Kazakhstan's Ministry of Labor and Social Protection is rapidly expanding its use of artificial intelligence to improve public services. By March 2026, the ministry had delivered 1.4 million services, with 41% processed electronically. The shift aims to make support faster and more accurate for citizens across the country. AI tools have been in use since 2025 to streamline key areas like social assistance, jobseeker registration, and disability assessments. One system analyses household conditions through photos to determine eligibility for aid more precisely. This approach has helped reduce the number of families receiving targeted social assistance—from 114,000 in 2023 to around 30,000 by 2026.
Another AI model reviews medical records to assist expert panels in disability assessments. To date, it has processed over 24,000 applications, generating recommendations to speed up decisions. The ministry has also launched the 'Digital Employment Service', which uses AI to offer personalised job support by matching citizens with opportunities based on their skills and needs. The 'Digital Workspace for Akims' platform now covers all 17 regions and 1,786 rural districts, linking 30 government information systems. This integration helps local officials access data quickly and improve service delivery. By the end of 2026, the ministry plans to extend AI applications to pension payments, state benefits, and *kandas* status assignments. Currently, 45 out of 49 ministry services are available digitally. The goal is to fully integrate AI across all government services within the year, reducing paperwork and cutting processing times.
The ministry's push for digital transformation has already cut the number of families needing targeted aid by nearly three-quarters. With AI handling more tasks—from job matching to pension processing—officials expect faster, more efficient public services. The next phase will see even broader use of technology to manage benefits and administrative workflows.