Beyond Aramco's HUMAIN deal: How energy giants are investing in AI

Beyond Aramco's HUMAIN deal: How energy giants are investing in AI
Saudi Aramco's logo at the Adopt AI International Summit in Paris, France, 26 November 2025.
Reuters

Saudi Aramco's acquisition of a 49 per cent stake in artificial intelligence (AI) company HUMAIN is putting a spotlight on a wider investment question: why are some of the world's biggest energy companies moving deeper into AI, and what do they expect to gain? 

The Saudi energy giant and the Public Investment Fund (PIF) announced the transaction's completion on 1 November. Aramco is contributing approximately 9.9 billion Saudi riyals ($2.6 billion) in cash during 2026, alongside AI, computing and digital assets. PIF retains a controlling 51 per cent stake in HUMAIN.

The agreement supports HUMAIN's plans to develop three gigawatts of AI data centre capacity by 2030. It also gives Aramco access to infrastructure that could help it develop industrial AI applications and commercialise existing digital technologies.

Beyond Saudi Arabia, energy producers across regions are taking different approaches to artificial intelligence, raising broader questions about where the investment opportunities lie and how far AI could reshape their traditional businesses.

Investment strategies vary, from equity stakes in AI companies to industrial applications and computing infrastructure, each offering distinct commercial opportunities and returns.

What is Aramco buying through HUMAIN?

Launched in May 2025, HUMAIN is developing data centres, high-performance computing infrastructure, cloud platforms, advanced AI models and commercial applications.

Its portfolio includes ALLaM, an Arabic-language large language model.

Under the completed transaction, Aramco acquires 49 per cent of HUMAIN through a wholly owned subsidiary, with PIF retaining majority ownership.

The $2.6 billion represents Aramco's announced cash contribution during 2026, not HUMAIN's total valuation. The companies have not disclosed the assessed value of the transferred assets or the overall transaction valuation.

Aramco expects to use HUMAIN's infrastructure to develop industrial applications while benefiting from potential revenue growth as a shareholder.

Aramco President and CEO Amin H. Nasser said the company had achieved $11.3 billion in Technology Realized Value since 2023, with AI contributing significantly.

That figure reflects Aramco's reported technology-related value creation, not returns from HUMAIN.

UAE: How ADNOC is commercialising industrial AI

A view of the port at ADNOC's Borouge petrochemical facility in Ruwais, United Arab Emirates, 14 May 2018.
Reuters

In the UAE, Abu Dhabi National Oil Company (ADNOC) has pursued a different model through AIQ, an artificial intelligence company focused on the energy sector.

In 2024, ADNOC and technology company Presight announced an agreement under which Presight would acquire 51 per cent of AIQ, while ADNOC would retain 49 per cent.

The agreement valued AIQ at more than $1.4 billion, according to ADNOC's announcement.

AIQ develops applications for energy operations, including technologies intended to improve efficiency and support industrial decision-making. 

Unlike HUMAIN, which is building a broader AI infrastructure business, AIQ concentrates on solutions for the energy industry.

For ADNOC, the structure allows technology developed around its industrial operations to be commercialised through a separate company.

The UAE example therefore offers a close comparison with Aramco's investment, although the businesses differ in scope and commercial objectives.

Azerbaijan: SOCAR advances industrial AI adoption

Azerbaijan provides a more direct industrial comparison through its state energy company, SOCAR.

According to Azerbaijan's Ministry of Economy, SOCAR's Carbamide Plant has implemented 42 digital and AI-based solutions covering production processes, automation and operational efficiency.

The ministry reported in February 2026 that the facility had joined the World Economic Forum's Global Lighthouse Network, becoming the first plant in Azerbaijan to receive the recognition. 

In August 2026, Azerbaijan's Economy Minister Mikayil Jabbarov highlighted SOCAR Carbamide's digital transformation, citing its EnergyAI platform, predictive maintenance technologies and improvements in production and energy efficiency.

SOCAR is also seeking new applications. Its official Open Innovation Programme identifies AI-powered analytics, machine learning, predictive modelling and automation among the technologies it wants to develop across its operations. 

Azerbaijan is separately exploring investment in AI infrastructure.

In April 2026, the Ministry of Economy confirmed discussions with U.S.-based Haimaker.ai on a proposed data centre in the Alat Free Economic Zone and a cloud platform. The ministry did not announce a completed investment or disclose an ownership structure. 

Kazakhstan: How is AI changing oilfield operations?

Kazakhstan's national oil company, KazMunayGas, offers another example of AI being applied directly to energy production.

In October 2026, the company presented a digital twin of its East Moldabek oilfield in the Atyrau region.

According to KazMunayGas, the technology combines geological, reservoir and production data to evaluate development options and support operational decisions.

The company said the system had assessed approximately 700 development scenarios, demonstrating how AI-assisted modelling can accelerate technical analysis. 

Unlike Aramco's HUMAIN transaction, this is an industrial technology initiative rather than an announced equity investment in an AI infrastructure business.

What could energy companies gain from AI investments?

The examples reveal two different commercial strategies.

Aramco and ADNOC have ownership interests in AI businesses. This gives them potential exposure to technology-related revenue alongside opportunities to improve their industrial operations.

SOCAR and KazMunayGas demonstrate how AI can be applied within energy production, although their cited initiatives do not establish comparable investments in standalone AI companies.

And the financial risks also differ.

Industrial AI applications must demonstrate improvements in efficiency, safety or operational performance.

AI infrastructure businesses face additional challenges, including high construction costs, access to specialised processors, electricity requirements and competition for customers.

HUMAIN's target of three gigawatts of data centre capacity by 2030 illustrates the scale of its ambitions. But planned capacity is not equivalent to operational capacity or guaranteed revenue.

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