Saudi Aramco Says AI Will Deliver $3–5 Billion in Technology Value in 2025

Speaking at the World Economic Forum in Davos, Aramco president and chief executive Amin Nasser said the company expects its “technology realized value” to reach between $3 billion and $5 billion in 2025, with more than half of that total tied directly to AI-driven applications, as cited by Bloomberg.

The projection marks a clear step change for the world’s largest oil producer. Until recently, digital tools played a supporting role inside Aramco, helping engineers refine processes or test new systems on a limited scale. Now, AI is being positioned as a core contributor to performance, with measurable financial outcomes that management believes are large enough to stand alongside traditional drivers such as production efficiency and cost control.

Rather than focusing on futuristic concepts, Aramco’s use of AI is rooted in day-to-day operations. Advanced analytics are being applied across drilling, production, refining, and maintenance activities, helping teams anticipate problems earlier and make more informed decisions. In an industry where equipment failures and downtime can be extremely costly, even small improvements in reliability can translate into significant savings when applied across vast industrial networks.

The scale of Aramco’s operations magnifies these effects. With assets spread across some of the world’s largest oil fields, refineries, and logistics systems, the company is able to deploy digital tools in ways that few competitors can match. Over time, repeated efficiency gains accumulate, turning technology investments into a meaningful source of financial value rather than a long-term research expense.

Aramco’s growing confidence in AI also reflects the maturity of its internal data environment. Decades of operational history have produced enormous volumes of geological, engineering, and production data, giving the company a strong foundation for training and refining AI models tailored specifically to energy use cases. As these systems become more accurate and reliable, their impact on decision-making and ultimately on financial performance becomes easier to quantify.

The company’s digital push does not exist in isolation. It aligns closely with Saudi Arabia’s wider economic strategy, which places technology, data, and artificial intelligence at the heart of future growth. The Kingdom has increasingly framed advanced computing and digital infrastructure as strategic assets, both to support existing industries and to build new ones.

That broader direction was reinforced this week with news that Saudi Arabia’s state-backed AI company Humain has secured up to $1.2 billion in financing from the National Infrastructure Fund. The funding is aimed at expanding AI infrastructure, including large-scale data center capacity capable of supporting advanced computing workloads.

Companies like Aramco stand to benefit from this expanding domestic ecosystem. Access to local computing power, specialized talent, and supportive infrastructure makes it easier to scale AI initiatives while maintaining control over sensitive industrial data. It also strengthens Saudi Arabia’s ambition to become a regional hub for artificial intelligence, rather than relying solely on overseas technology platforms.

Aramco’s growing digital capabilities raise questions about how far AI could extend beyond internal efficiency gains. As systems become more advanced, large industrial players may begin exploring ways to commercialize their expertise, offering software-driven solutions or analytics services to external partners. While Aramco has not outlined specific plans in this area, the idea reflects a broader trend in which traditional industries look to technology as both a defensive and offensive strategy.

The rise of AI inside Aramco adds a new layer to how the company’s performance may be assessed by investors. Historically, analysis of oil majors has focused heavily on crude prices, production volumes, and refining margins. As technology-related value becomes more visible in earnings discussions, digital capability may increasingly factor into long-term competitiveness and valuation debates.

The way technology is viewed inside the energy sector is clearly changing. Artificial intelligence is no longer seen as a side experiment, but as a practical tool that can deliver real financial results. If the company’s projections hold, they will show how even the most traditional industries are being reshaped by data, software, and automation not as a future idea, but in today’s balance sheets.