Diriyah and Qiddiya Are the Next Saudi Smart Cities to Prove AI Works Beyond NEOM

Diriyah and Qiddiya Are the Next Saudi Smart Cities to Prove AI Works Beyond NEOM

NEOM has been getting the smart-city headlines for years, but in 2026 the more interesting Saudi tests are happening elsewhere. Diriyah Gate, Qiddiya, New Murabba, Red Sea Global, and Roshn are the five Vision 2030 developments where the next round of edge-AI, autonomous-mobility, and sensor-network work is now visible. None of them will draw the NEOM-level attention, and that is partly the point. These sites have real residents, tourists, and construction workers on site now. They need AI systems that work today, not in 2035.

Why the post-NEOM story matters

The Kingdom's Vision 2030 programme has always been broader than NEOM. Diriyah Gate sits on the site of Saudi Arabia's historical capital at Ad Diriyah, just outside Riyadh. Qiddiya is the sports-and-entertainment mega-district southwest of Riyadh. New Murabba is the downtown redevelopment anchored by The Mukaab. Red Sea Global covers luxury tourism along the western coast. Roshn is the country's largest national residential developer. All five are running live smart-city AI pilots right now, with SDAIA and the Ministry of Communications and Information Technology tracking outcomes centrally.

The Kakao Mobility deal at Diriyah for future mobility infrastructure is one of the more publicly visible pieces. The project's layout, narrow heritage streets, limited parking, and an expected volume of visitors, makes it a stress test for autonomous and on-demand transport AI. Red Sea Global has received CCTV system investments that hint at AI-driven security and visitor-flow analytics.

Vision 2030 gave us the framework, but execution is happening project by project. The smart city story of 2026 will be written at Diriyah, Qiddiya, and Red Sea, not only NEOM.

The Diriyah bet on autonomous mobility

Diriyah Gate's layout forces the hardest question in Gulf smart-city design. How do you deliver millions of annual visitors into a UNESCO-linked heritage district without overwhelming the narrow streets with private vehicles? The answer being engineered is a combination of on-demand autonomous shuttles, AI-optimised parking allocation at perimeter hubs, and real-time crowd-flow monitoring. Kakao Mobility's involvement signals that South Korean autonomous-mobility stack vendors see Diriyah as a lead reference project for Middle Eastern deployments.

What makes Diriyah different from a greenfield like NEOM is that mistakes have immediate consequences. Visitors are already on site. Emergency vehicle access has to be preserved. Surveillance and privacy choices have to line up with Saudi data-protection law. That pressure is producing practical deployments rather than speculative demos.

Qiddiya's stadium-scale AI is the next test

Qiddiya is being built around entertainment, sports venues, and theme parks. Its AI needs are different. The big questions are crowd-surge prediction, multi-modal transport coordination, queue management, and dynamic pricing. Those are broadly solved AI problems in the sense that working systems exist globally, but deploying them at Qiddiya's scale, in Arabic interfaces, and under Saudi regulatory norms, remains an engineering problem. The project is also likely to be the first Saudi site where NEOM-originated edge AI protocols are adapted to a fully operational entertainment environment.

The sovereign framing is doing real work

One reason these projects are running slightly below the NEOM noise level is that the Saudi sovereign stack, anchored by HUMAIN and SDAIA, has been doing the underlying integration work. HUMAIN's role gives each giga-project access to a shared sovereign AI platform rather than every developer building its own stack. That is a meaningful architectural choice, because it means performance, privacy, and security standards are set once and applied across projects.

The 2026 Year of AI designation turns those shared standards into explicit delivery milestones. Expect more public disclosure of smart-city AI KPIs across the five projects as the year progresses.

Smart city AI is not a new idea. The hard part is making it work inside the regulatory environment and service expectations of the Gulf, and that is what the next 12 months will test.

What to watch in the next quarter

1. First public autonomous shuttle SLA (service-level agreement) published by Diriyah Gate operators
2. Qiddiya's crowd-flow AI tender awards
3. Roshn community-level energy AI rollout details
4. SDAIA publication of cross-project AI standards for giga-project deployment

Risks the programme is carrying

The quieter risks are worth naming. First, multi-stakeholder coordination. Five giga-projects means five procurement cycles, five communication teams, and five slightly different technical roadmaps, all of which need to line up on data standards if cross-project AI value is to be captured. Second, talent demand. Saudi Arabia's smart-city AI headcount needs are growing faster than the Saudisation pipeline can fill, which could slow roll-out. Third, cross-border vendor policy. Autonomous-mobility stacks often come from South Korea, China, the US, and Europe, and cross-border data-sharing arrangements will need harmonising under SDAIA's policy framework.