What AI numbers say about rankings and training in Saudi Arabia

Is an international ranking enough to understand where artificial intelligence stands in an economy? No. It becomes more meaningful when accompanied by another figure describing the people who will use the technology. In Saudi Arabia, a report published by Ajal newspaper combines these two strands: presence in international indices and programs to expand knowledge and skills related to data and AI.

According to the newspaper, the Kingdom ranked thirteenth globally out of 70 countries in the annual Global Competitiveness Report published by the International Institute for Management Development. The results also placed it third among the G20 nations. The newspaper cites these figures in the context of 2026, which the Kingdom declared the Year of Artificial Intelligence, and in the context of the role attributed to the Saudi Data and AI Authority (SDAIA) in shaping policy, regulatory frameworks and training.

The Index Does Not Capture the MarketWhat these results indicate is that competition is no longer merely about possessing digital tools. The newspaper also notes a fourth-place global ranking in the AI Adoption in Companies index and a fourth-place ranking in the AI Community Reach index. Between the two indices lies a broad practical gap: a company seeking a usable application and an individual needing knowledge that enables them to understand, work with, and evaluate it.

The newspaper links corporate adoption to initiatives from SDAIA, including the Ruwad program and incentive tags for corporate AI ethics. This alone does not demonstrate how each company uses these initiatives or their actual impact on productivity, but it shows that the adoption reflected in the indices is presented as tied to incentives and governance rather than as a purely technical race detached from responsible use guidelines.

The Human Figure Is the Hardest PartOn the competency side, the newspaper reports that the Sama'i initiative has trained 1.2 million Saudis in AI as part of efforts to spread digital knowledge through the SDAIA Academy and specialized training programs. The figure is large, but its professional value is not measured by the number of trainees alone. The question that matters to a regional practitioner is how general knowledge translates into the ability to analyze data, use tools consciously, review outputs, and operate within clear guidelines.

Thus, governance appears in the story as part of the architecture rather than an add-on. The source describes a focus on transparency, fairness and privacy protection, and notes that SDAIA supports public and private entities in leveraging data and AI solutions. This phrasing speaks to direction and policy, not to an independent certification of each application’s outcomes. The distinction matters because regional organizations need to ask two questions when purchasing or deploying: what the tool can do, and who reviews its decisions and data.

Regional SignificanceFor the Gulf, Egypt and the Levant, these figures place competition closer to the labor market than to generic headlines. When training is widespread, the value rises for those who combine technical skill with a understanding of governance and the sector they operate in. When companies measure AI adoption, the required skill is no longer merely operating a tool but knowing where it is appropriate, which data demand caution, and when the decision must remain in human hands. This pathway requires trainers, managers and reviewers who recognize that work quality is revealed not by the number of accounts opened but by decisions that can be explained and improved.

The report’s takeaway is not that the global ranking is the end of the story. It is that building local capabilities, institutional adoption, and responsible usage policies appear in the source as parallel pathways. Success in the region will depend on the ability to converge in accountable daily practice, not on a single figure appearing on a metrics board.