What happened
Alfaisal University and Saudia Cargo have formalised a partnership through a Memorandum of Understanding (MoU) that will create joint AI‑focused research projects, develop logistics‑oriented curricula, and offer short‑term internships for students at Saudia Cargo’s headquarters. The agreement also includes workshops, seminars and professional‑development programmes for Saudia Cargo staff, overseen by a steering committee that includes university and airline representatives.
The MoU was signed in Riyadh by Dr. Khaled Al‑Kattan, Vice President for Finance and Administration and Dean of the College of Medicine at Alfaisal University, and Mr. Hashim H. Alsharif, Vice President of Strategy at Saudia Cargo. The agreement outlines cooperation in three main areas: joint AI research in logistics, curriculum development for AI‑enabled supply‑chain management, and short‑term internships for male and female students via Saudia Cargo’s Tamheer on‑the‑job training programme or cooperative training arrangements.
Alfaisal’s College of Engineering and Advanced Computing offers a BSc in Artificial Intelligence and an MSc in Applied Artificial Intelligence, both of which include industry‑linked components such as summer internships. The university’s Artificial Intelligence Center and AI Academy will provide the research expertise and teaching resources needed for the partnership.
Saudia Cargo, the national air‑cargo carrier and a member of the SkyTeam Cargo alliance, will benefit from access to university research talent and customised training programmes for its staff. The MoU also establishes a steering committee, chaired by HH Princess Aljohara bint Faisal bin Musaad Al Saud and Eng. Majdi Alrehaili, to monitor progress and ensure alignment with market needs.
Why it matters
The MoU links academic AI expertise with a major national air‑cargo operator, potentially accelerating the adoption of machine‑learning‑driven optimisation, demand forecasting and route planning in Saudi logistics—a sector highlighted in Vision 2030. By students in real‑world cargo operations, the partnership aims to produce a of talent equipped with practical AI skills, addressing a regional skills gap and supporting the broader economic diversification goals of the Kingdom. Moreover, the collaboration could generate research outputs that improve cargo efficiency, reduce emissions and enhance supply‑chain resilience, benefits that extend beyond Saudi Arabia to global logistics networks.
Saudi Vision 2030 identifies logistics as a strategic pillar for economic diversification. Integrating AI into cargo operations can improve load factor utilisation, reduce turnaround times and lower fuel consumption, directly supporting the Vision’s sustainability and efficiency targets.
The partnership addresses a documented talent shortage in AI and data‑science skills within the Gulf region. By providing hands‑on experience to students and upskilling existing Saudia Cargo employees, the MoU helps build a domestic talent pool that can sustain long‑term AI adoption across the logistics sector.
Research collaborations may yield novel algorithms for demand forecasting, dynamic pricing and predictive maintenance, which could be commercialised or shared with other Saudi logistics firms, amplifying the impact beyond Saudia Cargo.
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What to watch next
Key indicators to monitor include the launch of any joint research pilots, the number and scope of AI‑focused curricula introduced, and the uptake of internship slots by Alfaisal students. Follow announcements of pilot projects that apply AI to route optimisation, load planning or predictive maintenance, as well as any measurable improvements in Saudia Cargo’s operational metrics. The formation of the steering committee and its first meeting minutes may also reveal timelines and funding commitments.
Announcement of specific research pilots, including project scope, timelines and any pilot results.
Roll‑out of new AI‑focused courses or modules within Alfaisal’s curriculum, and enrollment numbers for those courses.
Quantitative data on internship placements, such as the number of students accepted, duration of placements and feedback from participants.
Any public statements from Saudia Cargo about operational improvements attributed to AI initiatives stemming from the partnership.