The burgeoning artificial intelligence (AI) revolution, a force poised to reshape industries and economies, is inadvertently breathing new life into natural gas, a fossil fuel once seen as a transitional energy source on its way out. Major energy corporations and international bodies are signalling a significant resurgence in demand for the cleaner-burning hydrocarbon, driven by the immense power requirements of the burgeoning data centre infrastructure that underpins AI development and deployment. This unexpected symbiosis is prompting a recalibration of energy strategies globally, with implications for geopolitical stability and the pace of the broader energy transition.
Shell, a prominent player in the energy sector, forecasts a sustained increase in natural gas consumption well into the 2040s, a projection that underscores the fuel's newfound political and commercial cachet. The rationale is straightforward: the vast computational power demanded by AI algorithms necessitates a robust and readily available electricity supply. Natural gas-fired power plants, with their relatively quick ramp-up times and lower emissions compared to coal, are emerging as a crucial component in meeting this escalating demand, particularly as global climate ambitions, while still present, appear to be faltering in their immediate impact on energy choices.
This renewed focus is manifesting in tangible investments and strategic partnerships across key regions. Chevron, for instance, is actively expanding its natural gas production capabilities in Israel, with the express purpose of bolstering its liquefied natural gas (LNG) export capacity. Negotiations are reportedly underway between Egypt and Chevron regarding the connection of the Aphrodite gas field, a development that could significantly augment regional energy supplies. Egypt itself is already a vital conduit, supplying natural gas to Lebanon and Syria via the Arab Gas Pipeline, with plans to double these deliveries during winter months to address acute energy needs. Furthermore, Chevron, alongside Qatari investors, is exploring hydrocarbon potential in Syria, and in conjunction with Turkish Petroleum Corporation (TPAO), is investigating prospects in the Black Sea.
The global infrastructure to support this increased natural gas trade is also undergoing substantial expansion. Projections indicate a considerable growth in LNG export capacity over the next two years, poised to rise from approximately 593 billion cubic meters (bcm) in 2025 to an estimated 707 bcm by 2027. This surge in output, anticipated to reach as much as 484 million tons in 2026, is designed to meet a global appetite that is increasingly being fuelled by both AI’s demands and the ongoing efforts of nations to diversify their energy portfolios. The European Union, for example, has significantly reduced its reliance on Russian energy, pivoting to the United States for a substantial portion of its LNG imports, a strategic shift that highlights the evolving geopolitical landscape of energy supply.
However, this natural gas renaissance is not without its complexities. The EU's enhanced dependence on the US for energy imports, while a pragmatic response to the geopolitical fallout from the conflict in Ukraine, raises concerns given the volatile international political climate. The long-term role of natural gas as a transitional fuel, particularly in Asia where robust economic growth and a decline in coal usage are also contributing factors to Shell’s optimistic demand forecasts, is also a subject of ongoing debate. While AI's power needs are undeniable, the extent to which natural gas will remain a cornerstone of energy policy, rather than a temporary bridge to fully renewable solutions, will be a critical determinant in the global race to harness the transformative power of artificial intelligence sustainably. The intricate interplay between technological advancement, energy security, and environmental stewardship will undoubtedly shape the future of this pivotal fuel.