Top 5 Jobs in Government That Are Most at Risk from AI in Kazakhstan - And How to Adapt

Kazakhstan's government is racing to embed AI across public services - creating a new “digital headquarters,” launching the QazTech sovereign platform and a supercomputer, and moving most services online - which makes routine administrative work especially vulnerable to automation.

With over 92% of services available digitally and plans to consolidate communications on the Aitu messenger, repetitive roles such as data-entry clerks, payroll officers and records managers face rapid change; at the same time, experts warn that a shortage of trained staff and serious cybersecurity gaps (more than 40 major breaches reported in 2025, including a June leak of 16.3 million records) raise questions about safe rollout (Astana Times report on Kazakhstan digital headquarters and AI integration, TimesCA coverage of Kazakhstan AI rollout amid cybersecurity risks and skills shortage).

For public servants looking to adapt, targeted upskilling such as Nucamp's 15‑week Nucamp AI Essentials for Work 15-week bootcamp - learnable without a technical background - can turn disruption into new on‑the‑job productivity and safer AI use.

“It is not only about improving the legal framework for the functioning of AI. It is necessary to address matters of data fragmentation, the lack of clear regulations for the distribution of supercomputer capacity, cybersecurity, and the complete transition to the QazTech platform.” - Prime Minister Olzhas Bektenov

To pick the five government roles most at risk in Kazakhstan, the team blended global exposure metrics with local labor-market signals: IMF estimates on AI exposure and the country's AIPI score (Kazakhstan ≈ 0.55) guided the “how vulnerable” lens, while sector‑specific analysis of routine-task decline and digitization in Kazakhstan helped identify which day‑to‑day duties are truly automatable; EconomyKZ's review of shrinking demand for routine office work and TimesCA reporting on where Kazakh IT capacity is growing were used to test each role against local reality (IMF analysis of global AI exposure and Kazakhstan AIPI (Astana Times), EconomyKZ report on automation trends in Kazakhstan, TimesCA report on AI growth and skills needs in Kazakhstan).

Each candidate role was scored on routine-task intensity, digital-service prevalence, and retraining feasibility - in short, any job where “a single script could clear a day's paperwork” jumped to the top of the list, while roles with clear upskilling pathways were prioritized for adaptation strategies.

“Our capacity to think critically, our ability to learn how to learn, our social and emotional skills, such as communication, empathy, and resilience, are increasingly important.” - Rita Almeida, World Bank (quoted in The Astana Times)

Administrative clerks and data‑entry staff in Kazakhstan are on the front lines of the country's push to move government work onto QazTech and Aitu, where standardized APIs, built‑in cybersecurity and document‑processing tools make routine record keeping highly automatable; with more than 93% of services available online and government “digital transformation maps” driving process reengineering, roles that once meant typing forms all day are most exposed as OCR, RPA and document‑analysis models gain traction (examples include the Oylan pilot's OCR and document‑analysis capabilities).

The scale of change is concrete: dozens of previously paper‑heavy procedures have already been streamlined across ministries, and banks and courts are demonstrating how invisible robots can record meetings, process KYC and sift case files - freeing human attention but also shrinking clerical headcount unless retraining occurs.

For clerks in regional offices, the near‑term “so what?” is simple and vivid - a single verified OCR pass or automated workflow can replace a morning's worth of entries - so proactive reskilling (data validation, AI supervision, records governance) is now the fastest path to staying indispensable as services migrate to the national platform.

Learn more about the Digital Headquarters and QazTech rollout in the Astana Times coverage and the detailed national IT trends analysis.

“It is not only about improving the legal framework for the functioning of AI. It is necessary to address matters of data fragmentation, the lack of clear regulations for the distribution of supercomputer capacity, cybersecurity, and the complete transition to the QazTech platform.” - Prime Minister Olzhas Bektenov

Public‑sector accountants, bookkeepers and payroll clerks in Kazakhstan are squarely in the sights of AI: routine work like invoice processing, reconciliations and payroll calculations is increasingly handled by OCR, RPA and agentic models that free up time for higher‑value tasks but shrink headcount for repetitive roles.

Industry studies show firms adopting GenAI jumped (to 21% in 2025) and that automation can actually lift reporting detail (a Stanford analysis found a 12% rise in reporting granularity), while payroll scenarios now include AI assistants that flag overtime anomalies and deliver real‑time forecasts - turning payroll from a monthly chore into strategic forecasting (see the Thomson Reuters GenAI report and Corpay's payroll trends).

For government finance teams this is both threat and opportunity: AI can surface fraud and anomalies far faster than manual reviews (MindBridge reports 10–30x better anomaly detection), so the memorable takeaway is simple - one overnight AI run can reveal months of hidden issues.

The smart path for public servants is to pair domain expertise with AI supervision, predictive analytics and audit‑ready documentation so these roles evolve into compliance guardians and strategic advisors rather than disappearing.

“Current and emerging generations of GenAI tools could be transformative,” said one U.S. director of tax.

Government paralegals and legal assistants in Kazakhstan are at a crossroads: the same AI push that is creating chatbots and automated drafting tools for citizens and deputies also threatens routine legal work such as document assembly, discovery review and first‑pass research.

National projects already fund studies to simplify legal document preparation and deploy deputy assistant tools in parliamentary workflows, showing this is not hypothetical (Kazakhstan parliament AI lawmaking study).

The Justice Ministry's roadmap for e-notary, automated enforcement and legal chatbots underscores how many tasks will move from clerical hours to algorithmic passes (Astana Times report on Kazakhstan Justice Ministry AI digitization).

International analyses warn paralegals could see roughly 40% of routine time automated, but they also point to a clear upgrade path: become the human-in-the-loop - verifying outputs, managing prompt design, guarding client confidentiality and mapping legal liability - roles that require legal judgment more than typing speed (Artificial Lawyer analysis on AI impact on paralegals).

The memorable takeaway: routine docket‑sifting is increasingly a machine's job; the paralegal who can wrangle, validate and explain that machine's findings will be indispensable in Kazakhstan's legal transition.

Frontline public‑service customer support in Kazakhstan is fast moving from rule‑book scripts to AI‑first workflows, with routine queries, appointment bookings and status checks prime for automation - a change that can cut wait times but also hollow out low‑skill roles unless agents move up the value chain.

International reporting shows AI already gives agents full customer profiles before a call even starts, turning tedious menu navigation into higher‑value problem solving; local public hotlines and outsourced BPOs face the same pressure to automate FAQs while keeping people for complex, sensitive cases like identity or fraud disputes (see AP coverage of how AI is reshaping call centers).

Best practice is clear: deploy chatbots and voice AI to contain simple flows, keep a seamless human hand‑off, and train staff as AI supervisors, sentiment readers and domain specialists so they handle escalations rather than rote work - a point stressed in Nextiva's chatbot guidance on human‑in‑the‑loop design.

For Kazakhstan's public sector, pairing careful chatbot rollouts with a practical AI checklist for governance and privacy can preserve service quality while capturing the efficiency gains governments seek (see the Nucamp AI Essentials for Work practical deployment checklist for public sector AI).

“A.I. has taken (the) robot out of us,” - Armen Kirakosian

Records managers, proofreaders, document‑control officers and procurement clerks in Kazakhstan are squarely in the path of tools that can auto‑classify, extract and audit documents at scale - AI that scans documents and emails to capture relevant data points for compliance or archival purposes is already practical for modern public records systems, while procurement platforms can automate supplier evaluation, contract clause extraction and spend analysis to boost transparency and accountability.

That means routine tagging, first‑pass proofreading and manual checklisting are the most exposed tasks, yet the same technologies offer powerful safety valves: predictive analytics to flag procurement anomalies, NLP to surface non‑compliant contract terms, and persistent logs that ease audits if governance is tight.

The memorable takeaway for Kazakh public servants is clear - these systems can reliably capture compliance‑critical data from a backlog of case files without human intervention, but only when paired with human oversight, clear procurement standards and secure data practices.

Practical reading for teams planning this shift includes NIGP's overview of AI in public procurement, CrownRMS's guidance on AI and government records, and the GAO's synthesis of generative‑AI use and management across agencies to help shape policies and procurement checklists for safe adoption.

Kazakhstan's rapid digital push - centralizing services on QazTech and a new Digital Headquarters - creates a straightforward checklist for the months ahead: tighten cybersecurity and audits, manage third‑party and platform risk centrally, and invest in targeted reskilling so public servants can supervise AI rather than be replaced by it.

Policymakers must phase rollouts, audit legacy systems and third‑party suppliers (centralization and clear governance matter, per EY), and address infrastructure bottlenecks from chips to compute so projects move from “pilot” to safe production; independent reporting notes more than 40 major breaches this year, including a June leak of 16.3 million records, underscoring urgency (TimesCA: Kazakhstan AI rollout cybersecurity breaches and skills shortage).

Workers should pursue practical, role‑focused training - data governance, prompt design, AI supervision and cybersecurity - and pair that with domain expertise so jobs evolve into oversight and policy roles rather than disappear; Kazakhstan's national programs and the Astana Times coverage show digitalization is delivering big efficiency gains but depends on people to make it safe and fair (Astana Times: Kazakhstan accelerates digital transformation with AI and blockchain).

For those ready to act now, short, work‑focused courses - like a 15‑week AI Essentials pathway - turn AI from a threat into a daily productivity tool while strengthening the human checks governments will need.

“We hope that with the help of the expert community, we will create a comfortable law that allows technology to develop, ensures safety, and outlines clear and precise rules of the game.” - Yekaterina Smyshlyayeva