Kazakhstan Is Entering a More Complex Growth Model

An assessment of expert views in the second quarter of 2026 shows that Kazakhstan's economy continues to grow, while the mechanisms that sustain its resilience are changing.

Oil remains an important source of revenue, but the outcome increasingly depends on production volumes, export routes, the operation of the Caspian Pipeline Consortium (CPC), and inflows into the National Fund.

Affordable tariffs support households and businesses, but ageing infrastructure requires major investment. Consumer lending expands demand while also increasing the debt burden. A strong tenge helps contain prices, while giving imports an additional advantage. Government programmes support investment, although their impact on productivity and private capital requires continuous scrutiny.

The TALAP Expert Signal Radar for Q2 2026 brings these processes together in a single map. It contains 45 signal nodes distributed across six sectors and four rings. Links between the nodes form eight cascades: possible chains through which changes spread from one part of the economy to another.

The study yields five main findings.

• The oil price remains an important indicator for Kazakhstan. However, the economic return from oil production is determined by the full chain: production → export route → insurance → throughput volumes → inflows into the National Fund → budget → tenge.
• The Caspian Pipeline Consortium remains the key link in this chain. Route disruptions, production constraints, or changes in buyer behaviour can weaken the benefits even when the global oil price is favourable.
• The price per barrel therefore no longer provides a complete answer to the question of oil-sector resilience. Budget planning must take account of physical volumes, routes, the timing of receipts, and the rules governing the use of the National Fund.
• Three connected themes sit at the centre of the expert radar: the CPC as a systemic macroeconomic node; the oil price without a guaranteed budget gain; and the National Fund together with the quality of project selection.
• The expert radar treats the budget, the National Fund, oil exports, and the tenge exchange rate as a single resource-fiscal nexus.

• Electricity, gas, fuel, heat, water, networks, and utility infrastructure have long been supported through relatively low prices and deferred investment.
• This model supported social stability while accumulating an infrastructure debt. Ageing assets, capacity shortages, and the need for modernisation now require substantial investment.
• Investment costs are passed through into tariffs. Tariffs affect household expenditure, the cost of goods and services, inflation, business competitiveness, and trust in reform.
• Tariff policy is therefore becoming part of both macroeconomic and social policy.
• The expert radar places three related signals at its centre: the end of the cheap-fuel era, tariff rebalancing, and energy shortages as a constraint on growth.
• Energy reliability now determines the prospects for industry, urban infrastructure, digitalisation, data centres, and artificial intelligence.

• Strong GDP growth indicates the overall scale of economic activity. The quality of that growth, however, becomes clear through its effect on household welfare.
• This test requires attention to real and median wages, labour's share of income, job quality, labour productivity, savings, housing affordability, and debt burdens.
• At the centre of the radar is the node 'GDP growth without transmission into incomes'. It is closely linked to widespread household indebtedness and the use of pension savings.
• This combination shows that domestic demand can be supported through several channels at once: wages, credit, pension withdrawals, and government spending. Each channel has its own limit.
• Credit increases current consumption and future obligations. The use of pension savings helps address immediate needs while reducing the long-term pension reserve. Growth in average indicators may poorly reflect the position of broad population groups.
• Public perceptions of the economy therefore depend on how growth is transmitted into incomes, employment, housing, and household financial resilience.

• Kazakhstan's banks are highly profitable and have strong digital infrastructure. Yet their role in long-term lending to productive projects remains limited.
• Several factors contribute to this: the high cost of risk, the quality of borrowers, collateral requirements, long project payback periods, the enforcement of laws and contracts, the quality of financial reporting, and the broader institutional environment.
• Development institutions, government guarantees, subsidies, and quasi-public projects fill the resulting gap.
• This mechanism helps launch investment. Its long-term value, however, depends on whether public instruments create a self-sustaining financing market.
• The expert radar identifies a distinct cascade of relationships: banks → development institutions → quasi-public sector → productivity.

• Artificial intelligence, data centres, fintech, digital logistics, agricultural drones, and defence technologies create new opportunities for modernisation.
• Economic impact emerges through a chain of interdependencies: energy → data → specialists → regulation → practical application → market.
• Without this chain, individual projects remain showcase initiatives and have little effect on economy-wide productivity.
• Particularly important are reliable and affordable electricity, engineering and research talent, access to high-quality data, sector-specific use cases, information security, access to computing resources, and the ability to work with foreign platforms on Kazakhstan's own terms.
• Most technology signals are located in the middle and outer rings of the radar. They do not yet define the core agenda of the current quarter, but they could move towards the centre quickly if large data centres are launched, access to AI models becomes more restricted, or demand for energy infrastructure rises.

The radar draws on 15 expert and monitoring sources.

They differ in genre and function. Some authors provide a broad view of the economy. Others examine banking, the budget, oil, energy, technology, or public administration in depth. Monitoring sources help verify indicators, trends, and the external environment.

Sources were classified by their role in the analysis. The same source could support several thematic areas.

Sources such as TENGENOMIKA and Commentary primarily served monitoring and evidentiary functions. Their materials helped verify trends, figures, events, and the external context.

The primary unit of analysis was a signal: a significant or recurring proposition pointing to a possible change.

The materials were then processed in sequence: sources → signals → consolidation of similar formulations → signal nodes → sectors → rings → cascades.

The final map included themes that:

• recurred across different sources;
• connected several domains;
• had factual or sector-specific support;
• raised a question for decision-makers;
• indicated change or tension;
• could form part of a cascade of consequences.

The full working version contains 45 nodes. This number reflects the broad political-economy scope of the source material and the relatively even distribution of signals across sectors.

The expert signal radar contains six sectors and four radial rings.

Distance from the centre indicates how strongly a signal is currently manifest. The centre contains the issues that experts regard as most important. The inner ring contains their drivers and amplifiers, the middle ring shows medium-term consequences, and the outer ring contains long-horizon signals.

The radar core contains 14 nodes discussed by experts. They can be summarised as follows: incomes — debt — exchange rate — banks — budget — National Fund — oil — tariffs — energy. This sequence shows that the quarter's central issues are interconnected.

Incomes affect the resilience of demand and credit. The exchange rate affects prices and production. Banks determine access to capital. The budget and the National Fund support public spending and investment. Oil provides export revenue. Tariffs and energy determine the cost of infrastructure reliability.

The inner ring explains the structural causes of the core tensions. For example, weak lending is linked to the cost of risk and the institutional environment. Pressure on incomes is linked to the wage share, housing, and debt profiles. Energy constraints are linked to gas prices, the domestic oil base, and accumulated infrastructure wear.

The middle ring contains signals that do not yet define the quarter's main picture, but may strengthen over the medium term if debt dynamics change, major technology projects are launched, connectivity with China grows, or new energy decisions are adopted.

The outer ring contains the long-term agenda: the demographic window, a nuclear power plant, export controls affecting AI, and Defence Tech. These signals require continuous monitoring because their consequences will extend across several future development cycles.

In the second quarter of 2026, experts most frequently discussed macrofinancial and energy issues.

• The issue discussed most frequently was the gap between financial stability and the transmission of finance into development. Banks remain profitable and technologically advanced, but they have not become a full-scale channel for long-term lending to the real economy. Development institutions, guarantees, subsidies, and quasi-public projects fill this gap.
• The second theme concerns the budget and the National Fund. In the experts' view, budgetary and quasi-budgetary spending needs to be linked more tightly to results. The National Fund serves not only as a reserve but also as a source of finance for current and investment needs. When project screening is weak, strategic resources may be spent without sufficient structural returns.
• The third theme concerns the exchange rate, inflation, and production. Experts argue that a strong tenge supports disinflation, but also makes imports cheaper and worsens conditions for domestic producers. Macrofinancial stabilisation may therefore conflict with the objective of industrialisation.

• This is the second-densest sector and one of the most important in the radar's core. It shows that resource and energy resilience can no longer be treated as a background condition for the country's economic development.
• The CPC has become a systemic macroeconomic node. It links exports, production, insurance, the budget, the National Fund, and investor expectations. The oil price alone no longer explains fiscal resilience when physical production and export routes are exposed to risk.
• The domestic energy system is also changing. Cheap fuel, gas, and tariffs performed a social function for many years, while creating an accumulated infrastructure debt. Modernising the energy system, utilities, networks, heating, water, and generation now requires substantial funding. This turns tariffs into a macroeconomic and social issue.
• Energy shortages are becoming a constraint on the new economy. Industry, digitalisation, data centres, AI, electric vehicles, and urban infrastructure require reliable generation, networks, skills, and a viable tariff model. In the Q2 radar, energy is therefore not merely a sectoral issue; it is a foundation of industrial, digital, and social resilience.

• Three nodes form the centre of this sector: GDP growth without transmission into incomes, the UAPF, and widespread household indebtedness. Together they show that households sit at the intersection of several processes: economic growth does not guarantee improved welfare; pension savings are contested between current and future needs; and consumer credit both supports demand and creates vulnerability.
• The second layer of the sector explains why social resilience cannot be assessed through averages alone. What matters is not only the rate of growth, but also how its benefits are distributed, the quality of employment, the structure of incomes, access to housing, and the level of indebtedness.
• The sector's long-horizon dimension concerns demography. A young population can be an advantage only when productive jobs and education pathways are available. Without them, the demographic window becomes a source of pressure on the labour market, housing, and social spending.

• This sector provides a test of the quality of the growth model.
• Its central tension is that a productive economy does not emerge automatically, even when investment, tax advantages, or support programmes are available. The deeper barriers lie in the exchange rate, infrastructure, access to capital, capabilities, regulatory quality, domestic demand, and protection of investor rights.
• The import intensity of domestic demand reveals the weakness of the domestic multiplier. When a large share of household and public expenditure flows into imports, stronger demand supports production chains in other countries. This increases dependence on foreign production and weakens the domestic effect of income policy.
• The same sector also contains practical openings for modernisation. Agricultural drones, industrial localisation, and technological solutions in agriculture show that modernisation can be targeted, service-based, and accessible to small and medium-sized businesses, rather than only large and capital-intensive. Scaling such solutions, however, requires appropriate leasing, insurance, permits, accounting, and regulation.

• Events in the Strait of Hormuz show that external maritime infrastructure affects Kazakhstan even when the country's main export route lies elsewhere. Global oil prices, insurance, buyer behaviour, and market expectations transmit external risks into the domestic resource-fiscal nexus.
• China's role extends beyond trade and commodities. Experts describe China as an oil buyer, a source of payment and fintech connectivity, a technology player, an infrastructure partner, a competing centre in critical minerals, and a field that requires Kazakhstan's own expert community. This makes China expertise an element of economic security rather than an adjunct to the humanities.
• The Middle Corridor reveals a gap between transit rhetoric and infrastructure reality. Route competitiveness depends not only on geography and diplomacy, but also on roads, ports, digital documentation, services, tariffs, security, and trust among participants.

• This sector shows that the technology agenda is becoming an infrastructure agenda. AI, supercomputers, data centres, fintech, agricultural drones, digital logistics, and Defence Tech require more than programmes and institutions. They need energy, an engineering ecosystem, data, skills, sector-specific applications, regulation, and the ability to work with external platforms on Kazakhstan's own terms.
• Skills shortages are a cross-cutting constraint. They link the energy sector, AI, agriculture, logistics, industry, public administration, and education. Without a critical mass of specialists, modernisation will remain fragmented: individual projects may appear, but they will not translate into broad-based productivity gains.
• The technology sector currently sits mainly in the middle and outer rings, but its importance could rise quickly. This would happen if data-centre construction accelerates, access to external AI models becomes more restricted, Chinese technology platforms expand, or digital projects create new demand for energy infrastructure.

The radar shows where signals are located. Cascades show the mechanisms through which consequences may unfold. The study identifies eight cascades.

The abridged public version presents four integrated pathways of possible consequences.

• Oil price → physical production → CPC and other routes → export receipts → National Fund → budget → tenge exchange rate
• The oil price may remain high while the actual budget effect declines because of production, transport, insurance, the timing of receipts, and the use of funds. This changes how oil-sector resilience should be assessed. The country obtains the final result only when the entire chain functions.
• Pressure may intensify because of production constraints, disruptions to export infrastructure, changes in insurance conditions, deteriorating transport conditions, larger budget withdrawals, or weak project discipline in the use of the National Fund.

• Asset wear → investment → tariffs → business costs → inflation → real incomes → public sensitivity
• Kazakhstan needs new capacity, networks, heating, water, and utility infrastructure. The sources of finance for these investments, however, are limited.
• Tariffs provide a way to recover investment and keep systems operating. The speed of tariff adjustment determines the scale of the social and economic effects.
• Slow adjustment preserves ageing assets and shortages. Rapid increases raise costs, inflation, and public dissatisfaction.
• A balanced solution combines four elements: a transparent investment programme, a clear link between payments and service quality, a predictable tariff schedule, and targeted support for vulnerable groups.

• This mechanism combines four analytical cascades: GDP and incomes; the UAPF and housing; banks and development institutions; and the strong tenge and production.
• Pension savings, for example, affect future pension sustainability, housing affordability, domestic demand, and the financing of public instruments. Combining these functions creates a permanent tension between current and future objectives.
• Development institutions can act as a bridge, creating the following cascade: public support → lower risk → private finance → a self-sustaining market. Its effectiveness can be assessed by the share of projects that obtain private financing without permanent subsidy after receiving public support.
• A strong tenge helps contain import prices. At the same time, it makes imports more attractive and makes it harder for domestic producers to compete. Industrial policy is therefore connected to exchange-rate conditions, the cost of credit, infrastructure, tariffs, and investor protection.
• Overall, this integrated cascade can be represented as follows: GDP growth → employment and productivity → wages and incomes → demand and savings → credit and housing → investment → production
• Breaks can occur at every transition in this chain. Economic growth may be concentrated in capital-intensive sectors and create few mass-employment opportunities. Wages may lag behind prices. Demand may be supported by credit. Pension assets may be directed into housing. Banks may prefer short-term, lower-risk operations. Domestic demand may leak into imports. The economy can therefore record growth while its domestic productive and social effects remain limited.

• This mechanism connects international integration with Kazakhstan's own technology infrastructure.
• International integration was discussed most often in relation to China.
• China plays several roles for Kazakhstan at once: a buyer of commodities, a source of goods and technology, a logistics partner, a payment and fintech platform, an investor, a competitor in critical minerals, and a centre of technological standards.
• The economic outcome depends on Kazakhstan's role in this system. The country may remain a market for consumption and transit. A more sophisticated role would involve joint production, processing, financial services, logistics capabilities, and its own analytical community. China expertise therefore becomes part of the country's economic and negotiating capacity.
• Experts discussed technology infrastructure primarily in the context of national digitalisation. AI and the digital economy require physical infrastructure: computing capacity → data centres → energy → data → skills → practical applications.
• Building data centres increases electricity consumption. Imported models create dependence on external access and rules. A shortage of engineers limits the capacity to adapt solutions to sector-specific tasks.
• The technology strategy was considered through concrete applications: accident prediction, energy management, logistics, industrial design, healthcare, education, agriculture, and public services.

The expert radar translates the identified signals and cascades into eight questions that require coordination across several policy domains. Each question connects financial, social, productive, infrastructure, or technology systems. A resilient response therefore requires alignment of objectives, resources, timelines, and responsibilities among different actors.

For government, these questions provide a framework for cross-agency decisions. For corporations, they identify investment and operational priorities. For international organisations, they indicate areas of support and the conditions needed for lasting impact. The shared task is to ensure that decisions in one system reinforce outcomes in others and reduce the risk that tensions are transferred between sectors.

The expert radar shows that Kazakhstan is entering a phase in which its resilience model is being reconfigured.

The established stabilisers continue to support the economy:

• oil provides export and budget revenue;
• tariff restraint keeps infrastructure affordable;
• credit supports demand;
• pension assets provide domestic liquidity;
• a strong tenge helps contain prices;
• public institutions finance investment.

The cost of these mechanisms is rising. The return from oil depends on physical infrastructure and export routes. Affordable tariffs are linked to accumulated infrastructure wear. Credit increases the debt burden. Pension savings are allocated across several competing objectives. A strong exchange rate supports imports. Public financing may slow the formation of a private market.

The new growth model requires a coordinated system combining productivity, high-quality jobs, reliable energy, market-based finance, an effective budget, technological capabilities, and a strong skills base.

The main value of the expert radar lies in identifying connections early. Oil is linked to the budget and the tenge. Tariffs are linked to inflation and incomes. Banks are linked to public institutions and productivity. AI is linked to energy, data, and skills. Tracking these connections makes it possible to anticipate the consequences of decisions earlier and choose monitoring indicators more precisely.

Other materials in the series

• How the TALAP Signal Radar Works — read
• How the State Is Building a Modernisation Model — read
• Kazakhstan at an Investment Turning Point — read
• Kazakhstan in a Phase of Transitional Resilience — read