IN Brief:
- Kazakhstan’s transport sector employs around 870,000 people but requires approximately 57,000 additional specialists.
- Government planners have identified 31 emerging roles spanning digital logistics, automation, BIM, smart roads, robotics, AI, and uncrewed systems.
- Thirty-seven universities and 47 colleges are training transport specialists as infrastructure development widens conventional and digital skills requirements.
Kazakhstan’s Ministry of Transport estimates that the country needs around 57,000 additional transport specialists as infrastructure expansion and digitalisation increase demand for both established operational roles and new technical skills. The requirement covers rail, road, aviation, maritime transport, and logistics rather than a single project or trade corridor.
Approximately 870,000 people currently work across Kazakhstan’s transport sector, making the projected additional requirement equivalent to roughly 6.5% of the existing workforce. Demand includes locomotive and vehicle drivers, technicians, engineers, logistics specialists, pilots, air traffic controllers, ship captains, and mechanics, alongside newer digital occupations.
Government planners have identified 31 emerging professions as transport systems adopt more automation, data analysis, and digital design. The list includes specialists in road-building information modelling, smart-road systems, construction robotics, digital logistics, railway automation, AI-supported dispatch, air-traffic design, and uncrewed systems.
Expanding recruitment into conventional jobs alone will therefore not close the gap. Transport operators are adding physical capacity while changing how networks are planned, monitored, and controlled, creating simultaneous demand for frontline operating staff and specialists capable of working with automated yards, predictive systems, digital freight planning, and integrated traffic management.
Kazakhstan has additional exposure because transport infrastructure forms part of its wider economic and trade strategy. The country sits across major China–Europe and Central Asian routes, while investment in railways, roads, terminals, and Caspian connections is expanding the amount of freight its network is expected to handle.
New infrastructure can create labour demand before automation begins to produce its intended productivity gains. A terminal may require additional operators, technicians, and maintenance staff during expansion while also introducing systems that need data, software, and automation expertise unavailable in the previous workforce structure.
The national training pipeline is sizeable. Thirty-seven universities and 47 colleges provide transport-related education, with around 44,000 students enrolled and more than 28,000 supported through state grants. Government departments, operators, and education providers are revising programmes to reflect the occupations expected to grow with transport digitalisation.
Curriculum reform is only part of the requirement because many roles depend on practical competence, certification, or operational experience that cannot be produced through classroom teaching alone. Employer-led training, placements, and workplace development become particularly important when new technology is introduced into live transport operations rather than isolated training environments.
Geography creates another complication. Railway, aviation, port, road, and logistics projects do not draw from an identical labour pool, while specialist staff may be needed far from the urban centres where training is concentrated. Increasing graduate numbers does not automatically place qualified workers at the locations where network expansion creates vacancies.
Digitalisation also changes the skills mix without eliminating established occupations. International supply chain recruitment has already shown a similar tension around AI-related hiring requirements, where organisations can deploy technology more quickly than labour markets produce people with practical experience of using it inside operational systems.
Kazakhstan faces the same problem on a wider transport base. New terminals, rolling stock, automated control systems, and border technology only deliver their designed throughput when operators can staff maintenance functions, control rooms, planning teams, and frontline operations at the required level.
A workforce shortage can therefore become a capacity constraint even when track, terminals, and equipment have room to grow. Infrastructure spending may remove one bottleneck while a shortage of drivers, engineers, technicians, or automation specialists creates another, particularly where qualifications take several years to acquire.
The government’s response is consequently centred on curriculum changes and closer employer involvement rather than treating the 57,000 figure as one recruitment campaign. That approach reflects the breadth of the gap, which runs from established mechanical and driving roles through to AI dispatch specialists and robotics operators.
Kazakhstan’s freight ambitions will continue to be measured in track capacity, terminal throughput, and tonnes carried, but the workforce figures expose a constraint that cannot be solved with infrastructure procurement alone. Physical capacity can be commissioned on a project timetable; experienced transport specialists take considerably longer to produce.
