Elevating AI for energy, together

Innovation transcends national borders, and in the latest wave of artificial intelligence (AI)-led industrial transformation, we are thrilled to see nations from different parts of the world leading the charge.

The Gulf Cooperation Council (GCC) region, and the United Arab Emirates (UAE), Saudi Arabia, and Qatar in particular, have been enthusiastic and steadfast in their investment in AI infrastructure, which they believe is changing the very nature of society and pace of economic development.

In the case of the UAE, Abu Dhabi, through the AI for all domains specialist G42, is developing an ambitious initiative known as the ‘Intelligence Grid,’ which seeks to establish intelligence as a bedrock of ongoing development in much the same way railroads or electricity grids catalysed industrial development and became pillars of modern societies.

The UAE’s vision of an AI-native society is grounded in the belief that people of all nations should be afforded equal access to AI-enabled upliftment to their circumstances, and with this comes the desire to export UAE honed AI capabilities.

For AIQ, having been hard at work deploying 14 tailored industrial AI solutions across the energy value chain domestically for some years now, the timing to look to export this expertise to India and other markets is ripe for the taking.

Earlier this month, the President of the UAE, His Highness Sheikh Mohamed bin Zayed Al Nahyan paid an official visit to India, during which, alongside Indian Prime Minister, Shri Narendra Modi, the leaders agreed to strengthen collaboration in science and technology and innovation, particularly in the areas of AI and emerging technologies.

The two countries are now on course to collaborate on the establishment of a supercomputing cluster in India, having agreed to explore cooperation in establishing data centers in the country. The exploration of the possibility of the formation of ‘Digital Embassies’ between the UAE and India is underway, under mutually recognised sovereignty arrangements, showcasing the high-level, bilateral momentum being gathered in advanced technology between the countries. India’s energy use is also rising quickly because of population growth, urbanisation, and industrialisation, with both total electricity generation and installed capacity having expanded strongly over the past decade. India has one of the most diversified power sectors globally, using coal, gas, hydro, nuclear, and multiple renewable technologies, all of which will be required to meet future energy demand. 

We believe AI’s ability to support the more efficient production of energy is paramount to the production of maximum energy with minimum emissions. It is estimated that by 2035, there will be almost 9 billion people on the planet. In line with this growth, oil demand is forecast to increase from 103 to at least 109 million barrels per day. LNG and chemicals will expand by over 40% and total electricity demand will surge from 9,000GW to 15,000GW, which is a staggering 70% increase. The planet requires more LNG, more low-carbon oil, more nuclear and more commercially-viable renewables to meet all this demand.

From our vantage point, it is clear that AI is a key enabler to increasing the supply of energy in a sustainable manner. AI also requires significant amounts of energy to continue to scale, and simply put, the true cost of AI is in kilowatts, making AI essentially an energy play. Over its five years plus of operation, AIQ has developed more than 200 AI use cases and developed 14 products, deployed across Energy operations, supporting clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. Our SMARTi AI-enabled intelligent monitoring system, for example, connects to existing CCTV systems via a SMARTi Edge Box. Using advanced computer vision, the solution enables real-time monitoring, hazard detection, compliance tracking, and automated reporting - enhancing safety, ensuring compliance, and boosting operational efficiency across industries.

Our ENERGYai agentic AI solution for Energy was unveiled in November 2024, and has been developed in partnership with ADNOC, and in collaboration with G42 and Microsoft. Built as a system of PhD-level AI agents trained on petabytes of proprietary data, a three-month long trial that ended in January 2025 and based on 15% of ADNOC’s well data produced a 10x increase in the speed of seismic interpretation with 70% accuracy. A reservoir monitoring agent accelerated the speed of predicting well pressure in just 15 minutes.

It is these types of innovations that drive operational gains that we see great potential in exporting and deploying across markets internationally, with India being a prime target of interest.