Saudi Arabia Moves into AI Implementation Phase, Partners with IBM
IBM CEO Arvind Krishna highlights Saudi Arabia's transition from infrastructure investment to large-scale industrial execution.
At IBM Think 2026 in Boston, IBM has positioned itself as a partner in Saudi Arabia's tougher phase of AI implementation, turning its investment into large-scale industrial and institutional execution.
IBM CEO Arvind Krishna emphasized that while the Kingdom's infrastructure is not inherently problematic, what needs to be done on that front is largely clear; now it comes down to spending and execution.
Krishna linked Saudi Arabia’s AI path to broader economic and operational needs, stating that given its population size and development ambitions, digital tools that raise operational capacity and productivity are necessary.
He suggested that digital technologies and AI should become 'part of the workforce,' helping to lift long-term productivity.
The discussion shifted from energy and major government projects to services, daily economy, and how these can grow faster with AI implementation.
Krishna noted that while there is little disagreement over Saudi Arabia's vision, the challenge now lies in adopting technology across industries on a cultural and operational level.
Krishna presented AI not just as a tool for improving functions or speeding tasks but as a new 'operating model' for institutions.
He stated that AI adoption has led to potential productivity gains of around 40% by 2030, with more than two-thirds of organizations planning to reinvest these gains in innovation and growth.
IBM's regional vice president in Saudi Arabia, Ayman Al-Rashed, noted that the Kingdom is moving from isolated AI experiments to deployment at scale.
He stated that while computing power is no longer a main bottleneck, challenges now include AI-ready data, governance, and enterprise execution.
Sectors closest to moving AI from pilots to large-scale production are banking, financial services, telecommunications, energy, and government.
Sami Al-Ajmi, Senior Vice President for Digital and Information Technology at Saudi Aramco, was featured by IBM as a practical example of the move from pilot projects to industrial execution.
Al-Ajmi clarified that Aramco is not interested in proofs of concept or early experiments; it wants to 'move ideas from the lab into the field.'
Al-Ajmi provided data-driven evidence for AI's direct financial and operational impact, highlighting its potential to enhance energy sector efficiency, reliability, and cost reduction while increasing demand.
IBM’s message focused on the Kingdom entering a phase where AI will be judged by its ability to change how institutions and industries operate on the ground.
This marks a shift from mere technology upgrades or new tools towards becoming a business model issue.
IBM CEO Arvind Krishna emphasized that while the Kingdom's infrastructure is not inherently problematic, what needs to be done on that front is largely clear; now it comes down to spending and execution.
Krishna linked Saudi Arabia’s AI path to broader economic and operational needs, stating that given its population size and development ambitions, digital tools that raise operational capacity and productivity are necessary.
He suggested that digital technologies and AI should become 'part of the workforce,' helping to lift long-term productivity.
The discussion shifted from energy and major government projects to services, daily economy, and how these can grow faster with AI implementation.
Krishna noted that while there is little disagreement over Saudi Arabia's vision, the challenge now lies in adopting technology across industries on a cultural and operational level.
Krishna presented AI not just as a tool for improving functions or speeding tasks but as a new 'operating model' for institutions.
He stated that AI adoption has led to potential productivity gains of around 40% by 2030, with more than two-thirds of organizations planning to reinvest these gains in innovation and growth.
IBM's regional vice president in Saudi Arabia, Ayman Al-Rashed, noted that the Kingdom is moving from isolated AI experiments to deployment at scale.
He stated that while computing power is no longer a main bottleneck, challenges now include AI-ready data, governance, and enterprise execution.
Sectors closest to moving AI from pilots to large-scale production are banking, financial services, telecommunications, energy, and government.
Sami Al-Ajmi, Senior Vice President for Digital and Information Technology at Saudi Aramco, was featured by IBM as a practical example of the move from pilot projects to industrial execution.
Al-Ajmi clarified that Aramco is not interested in proofs of concept or early experiments; it wants to 'move ideas from the lab into the field.'
Al-Ajmi provided data-driven evidence for AI's direct financial and operational impact, highlighting its potential to enhance energy sector efficiency, reliability, and cost reduction while increasing demand.
IBM’s message focused on the Kingdom entering a phase where AI will be judged by its ability to change how institutions and industries operate on the ground.
This marks a shift from mere technology upgrades or new tools towards becoming a business model issue.
