Uzbekistan to cut 2,141 government jobs as AI systems roll out by November 1, 2025
Uzbekistan will reduce 2,141 positions across several ministries by November 1, 2025, as part of a digitalization and artificial intelligence push, according to Kazinform News Agency. The decree was signed by President Shavkat Mirziyoyev and published in the National Database of Legislation.
The document states the objective is to optimize senior roles at republican executive bodies through the digitalization of functions. Below is the breakdown of affected agencies.
Agencies and staff reductions
- National Tax Committee: 498
- Ministry of Water Economy: 224
- Ministry of Agriculture: 200
- Ministry of Justice: 197
- Ministry of Ecology, Environmental Protection and Climate Change: 176
- Ministry of Employment and Poverty Reduction: 163
Timeline and support
The changes are scheduled to take effect by November 1, 2025. The Ministry of Employment and Poverty Reduction, together with the Council of the Federation of Trade Unions, will support laid-off employees in finding new roles.
Separately, Uzbekistan is set to introduce a new tax regime for foreign nationals from January 1, 2026. For official texts and future updates, refer to the National Database of Legislation (lex.uz).
What this means for public servants
Routine workflows are moving to digital platforms and AI-assisted tools. Roles will shift toward oversight, data quality, compliance, vendor management, and policy design where human judgment matters.
Teams that adapt early-by codifying procedures, improving data hygiene, and learning to supervise AI outputs-will keep their value high. Expect stronger demand for process owners, analysts, and project leads who can translate policy into automated workflows.
Practical next steps if your unit is impacted
- Get clarity from HR on timelines, selection criteria, and transition options. Document your responsibilities and results to support redeployment.
- Map your tasks by frequency and rules. Identify what can be automated, what needs human review, and where you can own the oversight layer.
- Propose small pilots that cut manual steps (e.g., intake forms, case triage, data validation). Measure time saved and error reduction.
- Strengthen skills in data analysis, prompt writing, process design, and change management. Consider targeted upskilling through Complete AI Training: Courses by Job.
- Leverage support from the Ministry of Employment and the Trade Unions for job placement, retraining, and benefits. Track internal vacancies across agencies.
Risk, compliance, and quality control
As systems automate tasks, reinforce data privacy, access controls, and audit trails. Set clear criteria for human-in-the-loop reviews, bias checks, and exception handling.
Standardize documentation: process maps, decision logs, and model usage guidelines. This protects service quality and reduces operational risk during transitions.
