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Ulviyya Poladova

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Artificial intelligence (AI) is rapidly reshaping the global energy landscape, and Azerbaijan is emerging as one of the countries where this transformation is both economically significant and strategically relevant. Traditionally known as an oil and gas exporter, Azerbaijan is now integrating AI into its hydrocarbon sector to modernize production systems, optimize resource extraction, and improve infrastructure management. This process is led primarily by the State Oil Company of the Republic of Azerbaijan (SOCAR), in cooperation with international technology and energy partners.

However, the impact of AI in the energy sector is often misunderstood. While some narratives suggest that digitalization reduces dependence on fossil fuels, the current global trend indicates a more complex reality: AI is simultaneously improving efficiency in oil and gas operations while also increasing overall energy demand. The expansion of data centers, cloud computing, and machine learning systems has become one of the fastest-growing sources of electricity consumption worldwide. In this context, Azerbaijan’s strategy reflects not only technological modernization but also a broader adaptation to the changing structure of global energy demand.

SOCAR and its subsidiaries are increasingly using AI-driven systems to analyze geological data, optimize drilling operations, and improve reservoir modeling accuracy. These technologies allow engineers to process vast amounts of seismic and operational data that would be impossible to interpret manually.

Globally, similar transformations are visible in major energy-producing countries. For example, Saudi Aramco has invested heavily in AI-based reservoir simulation systems to maximize oil recovery rates in mature fields. Similarly, BP has integrated AI into its North Sea operations to improve drilling efficiency and reduce emissions. In the United States, ExxonMobil uses machine learning algorithms to optimize shale oil production in real time. These examples demonstrate that Azerbaijan is not an outlier but part of a global shift toward data-driven energy production.

One of the most important global trends is the increasing energy consumption driven by AI infrastructure itself. While AI improves efficiency in energy production, it also significantly increases electricity demand due to the rapid expansion of data centers, high-performance computing systems, and cloud-based services.

According to assessments by the International Energy Agency (IEA), electricity consumption from data centers and AI workloads has grown dramatically and is projected to continue rising throughout the next decade. In countries such as the United States, electricity demand has already reached record levels, partly due to the rapid growth of AI training systems, cloud computing infrastructure, and hyperscale data centers operated by companies like Google, Microsoft, and Amazon.

For Azerbaijan, this global shift has strategic implications. Rather than reducing the importance of oil and gas, AI may actually extend its relevance by increasing global demand for reliable energy sources during the digital transition period.

Azerbaijan occupies a unique position in the global energy system. Located at the intersection of Europe and Asia, it serves as a critical transit and production hub, particularly through pipelines such as the Southern Gas Corridor. This infrastructure already plays a key role in supplying natural gas to European markets, especially in the context of Europe’s efforts to diversify energy imports.

In this environment, AI becomes not only a technical tool but also a strategic asset. By integrating AI into its energy sector, Azerbaijan can improve the efficiency and reliability of its exports, enhance infrastructure resilience, and reduce operational risks in a highly competitive global market.

In Norway, Equinor has adopted AI-driven predictive analytics to manage offshore oil platforms in the North Sea. These systems help optimize production while maintaining strict environmental and safety standards. Norway’s model demonstrates how a resource-rich country can combine energy extraction with digital innovation and environmental responsibility.

In the United Arab Emirates, ADNOC has implemented AI across its upstream operations to improve drilling accuracy and reduce costs. The UAE has also launched initiatives to develop AI-driven energy optimization systems as part of its broader economic diversification strategy.

For Azerbaijan, this dual effect creates both challenges and opportunities. On one hand, it reinforces the continued relevance of hydrocarbons in the global energy system. On the other hand, it opens a pathway toward technological upgrading and economic diversification within the energy sector.

Ultimately, the key strategic insight is that AI is becoming a defining factor in modern energy geopolitics.