Saudi Arabia’s AI Ambitions Move From Infrastructure to Industrial Execution

Saudi Arabia’s artificial intelligence drive is entering a more demanding phase, moving beyond headline investments in chips, data centers and national AI platforms toward the harder task of implementation inside major industries and state institutions, according to IBM executives speaking at the company’s Think 2026 conference in Boston.

IBM Chairman and CEO Arvind Krishna said that the Kingdom’s next challenge is no longer primarily the availability of infrastructure, but how AI can be absorbed into daily operations, raise productivity and support the emergence of new industries. In his framing, Saudi Arabia has reached the point where the strategic vision is largely settled; what remains is execution at institutional scale.

The comments came as IBM and Aramco announced an intended collaboration to explore the use of artificial intelligence, agentic AI, automation, material science and hybrid-cloud technologies across Saudi Arabia’s industrial sector. The announcement, made at IBM Think in the presence of Krishna and Aramco Senior Vice President for Digital and Information Technology Sami Al Ajmi, seeks to combine IBM’s enterprise platforms and research capabilities with Aramco’s industrial scale, data assets and energy-sector expertise. IBM said the planned collaboration remains subject to definitive agreements between the parties.

A shift from pilots to production

For years, Saudi Arabia has presented AI as a central pillar of its Vision 2030 transformation agenda. The Saudi Data and Artificial Intelligence Authority has tied data and AI directly to Vision 2030, while Saudi authorities designated 2026 as the “Year of Artificial Intelligence” to unify national efforts and promote AI adoption across public, private and nonprofit sectors.

But IBM’s message in Boston suggested that the Kingdom’s next test will not be measured by the number of AI pilots launched, but by whether AI can be embedded in workflows that govern energy production, logistics, tourism, financial services, public administration and industrial planning.

Krishna used Hajj, tourism and services as an example. Saudi Arabia’s ambition to host tens of millions of visitors cannot be met simply by expanding the labor force, he argued. Digital systems and AI would need to become part of the operating model of sectors such as hospitality, transport and public services, allowing them to scale faster than conventional manpower-intensive models.

That argument reflects IBM’s wider corporate positioning at Think 2026. The company used the conference to promote what it calls an “AI operating model,” built around agents, real-time data, automation and hybrid infrastructure. IBM said the leading enterprises are not merely deploying more AI tools, but redesigning how their businesses operate around AI-driven systems.

Starting with Aramco

IBM and Aramco have worked together since 1947, when IBM helped install the company’s first information-processing system in Saudi Arabia. The new announcement presents that relationship as moving from a vendor-client model toward joint innovation in industrial AI.

Al Ajmi said the proposed collaboration could help Aramco assess how industrial AI and related technologies can strengthen operational excellence, resilience, reliability and safety in mission-critical environments. IBM said the two sides will explore AI, hybrid cloud and advanced technologies across industrial and energy systems.

In remarks reported by Asharq Al-Awsat and carried by Arab News, Al Ajmi said Aramco generates nearly 10 billion data points a day from its assets, has trained more than 6,000 AI specialists, and created $5.2 billion in value last year from digital technology initiatives, with more than half of that value coming from AI deployments.

Those figures are important because they show why Aramco is being positioned as more than a client. It is becoming a demonstration case for Saudi Arabia’s preferred AI model: not consumer-facing chatbots alone, but AI applied to heavy industry, energy systems, supply chains, engineering, refinery optimization, drilling, finance and field operations.

The sovereignty question

Saudi Arabia’s AI ambitions are also shaped by a growing concern across governments and major corporations: digital sovereignty. This refers to the ability to govern workloads, control infrastructure, audit AI systems, manage compliance and reduce exposure to geopolitical disruption.

IBM used Think 2026 to announce the general availability of IBM Sovereign Core, a platform designed for governments, regulated enterprises and service providers that need greater control over sensitive AI and cloud workloads. The company described it as a way to run regulated applications and AI workloads in controlled environments while maintaining authority over systems, data and operations.

The Kingdom’s AI strategy depends not only on importing advanced chips and building data centers, but also on proving that AI can be governed inside sectors such as energy, finance, telecommunications and government, where data sensitivity and operational continuity are critical.

Saudi Arabia has already moved aggressively on the infrastructure side. HUMAIN, the AI company launched under the Public Investment Fund in May 2025 and chaired by Crown Prince Mohammed bin Salman, was created to build a full AI stack including data centers, cloud infrastructure, models and applications. PIF says HUMAIN is designed to support Vision 2030 by helping diversify the economy and build a knowledge-based sector.

HUMAIN has also signed major partnerships with U.S. technology companies. NVIDIA said in 2025 that HUMAIN planned AI factories in Saudi Arabia with projected capacity of up to 500 megawatts, powered by several hundred thousand advanced NVIDIA GPUs over five years, including an initial deployment of 18,000 GB300 Grace Blackwell chips.

Qualcomm also signed an agreement with HUMAIN to develop AI data centers and cloud-to-edge hybrid AI services in Saudi Arabia, including integrating HUMAIN’s Arabic large language model family, ALLaM, across AI edge devices.

In August 2025, HUMAIN began construction of its first data centers in Riyadh and Dammam, each expected to launch with initial capacity of up to 100 megawatts, while sourcing semiconductors from U.S. chipmakers including NVIDIA.

The hard part begins now

The scale of Saudi Arabia’s AI ambitions is large even by regional standards. PwC has estimated that AI could contribute more than $135 billion to the Saudi economy by 2030, equivalent to 12.4 percent of GDP, making the Kingdom the largest expected beneficiary of AI in absolute terms in the Middle East.

Yet those projections depend on whether the Kingdom can translate infrastructure into productivity. This is the point IBM is now emphasizing. In January, IBM said surveyed executives expected AI to increase productivity by 42 percent by 2030, while 70 percent planned to reinvest AI-enabled productivity gains into growth rather than treat them only as cost savings.

For Saudi Arabia, the stakes are higher than corporate efficiency. AI is tied to the country’s economic diversification strategy, its effort to build post-oil industries, its desire to localize advanced technical expertise, and its ambition to become a regional and global AI hub.