AI to transform Kazakhstan labour market as jobs face decline | TV BRICS, 27.04.26

Kazakhstan is set to undergo a major transformation of its labour market, with artificial intelligence expected to significantly alter nearly half of all professions over the next decade, reports Kazinform, a partner of TV BRICS.

According to data presented, around 44 per cent of jobs – affecting approximately four million people – will be reshaped by AI by 2035. At the same time, 46 professions are projected to decline, while 14 occupations may disappear entirely.

The shift reflects the growing impact of Artificial Intelligence across key sectors of the economy, where automation and digitalisation are rapidly changing workforce requirements. However, the transition is also expected to generate new roles at the intersection of technology and traditional industries, creating fresh demand for advanced skills.

Officials stress that adapting to these changes will require a substantial upgrade in education and training systems. In response, Kazakhstan is expanding access to higher education and increasing state support to prepare specialists capable of working in a digital economy.

Public investment in the sector has risen sharply in recent years, with funding nearly doubling over a five-year period. The number of state-funded university grants continues to grow annually, reaching 77,000 this year, including a significant share allocated to engineering disciplines. Student stipends have also increased steadily, doubling over the same timeframe.

The reforms are aimed at addressing the evolving needs of the labour market, ensuring that graduates are equipped with the skills required in an AI-driven environment. Particular attention is being paid to regions facing shortages of qualified professionals, as authorities seek to balance educational access with economic demand.

Analysts note that while automation may reduce demand in certain occupations, it is also expected to unlock new opportunities, reinforcing the importance of continuous learning and workforce adaptability in the years ahead.

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