One trillion dollars for generative AI: SDAIA ties software automation to engineering training from Nvidia

Estimates released by the Saudi Data and AI Authority (SDAIA) reveal an anticipated jump in the global market value of generative AI to 4.8 trillion Saudi riyals, equivalent to $1.27 trillion, by 2032. The estimate, included in a recent guide the Authority issued to review the technology, its components and use cases, goes beyond a pure financial valuation and is linked to a broader expectation that these technologies could raise global GDP by 7 percent over the next ten years. However, a careful reading of the details shows that the aggregate figures are only the surface of a deeper movement taking place within software development environments and the training of personnel capable of leading this infrastructure.

The deeper transformation does not occur in economic reports, but inside development environments that are redesigning their tools from scratch.SDAIA’s report indicates that 70 percent of software companies will integrate generative AI capabilities into their applications, while estimates suggest that 60 percent of websites and apps will be designed automatically by generative AI by 2026. This cross-sector impact extends to other vital fields, where it is expected that 30 percent of new drugs and materials will be discovered using this advanced AI approach by 2025. These accelerating percentages reveal that generation is no longer a peripheral experimental tool, but has become a structural component reshaping infrastructure priorities and scientific research chains.

In parallel with these expectations outlined in its guide, the SDAIA Academy opened a practical pathway for building national capabilities through a professional training program specialized in generative models, supported by professional certifications from Nvidia. The Saudi Press Agency (SPA) reported the academy’s confirmation of its commitment to deliver high-quality training that enhances local competencies and supports the Kingdom’s goal of building a leading knowledge system aligned with Vision 2030 objectives. Registration opened through the Authority’s digital events portal, linking theoretical knowledge with professional certificates issued by the primary manufacturer of computing hardware, reflecting a direct shift toward acquiring precise operational knowledge of model systems and their complex applications.

What is actually changing in the Gulf, Egypt and the Levant goes beyond tracking global indicators to redesigning operational decisions and the required skills.When 70 percent of software companies move to embed generative AI and 60 percent of platform and website interfaces shift to automation by 2026, technical teams face a clear imperative. Regional software firms that develop solutions in Dubai, Riyadh or Cairo will no longer compete on writing the foundational code handled by algorithms, but on the efficiency of model integration and computing-resource management. Moreover, developers in the region are now required to go beyond traditional frameworks and obtain technology licenses approved by hardware makers such as Nvidia, because banking and government institutions are today seeking talent that possesses a precise understanding of operational architecture, to avoid high computing costs and protect sensitive data.

Betting on the generative market reaching the $1.27 trillion threshold by 2032 puts regional organizations before a decisive operational choice: either accelerate the integration of intelligent capabilities into software production lines and train engineering talent locally, or bear the later cost of importing solutions under global-vendor terms. The gap between the two paths is created today by the speed of response within companies and their ability to turn future indicators into solid engineering competencies on the ground.