How does Madinat Al Irfan's AI layer differ from NEOM's?

Scope and budget. NEOM builds AI infrastructure for a new region at unprecedented scale. Madinat Al Irfan builds AI for operational efficiency within an existing city at tenth-of-NEOM budget. Both produce useful outputs, but Oman's model is easier to replicate.

Will Omantel's sovereign cloud host Madinat Al Irfan AI workloads?

Expected yes, although formal confirmation is expected later in 2026. The geographic and strategic alignment makes Omantel the natural infrastructure provider, and the new cloud zone has capacity designed precisely for this kind of district-scale workload.

What does Phase 3 pre-letting tell us about demand?

Strong and ahead of schedule. Financial services, technology, and professional services tenants are committing early, which indicates Muscat's appeal as a regional office location is rising, partly due to the AI infrastructure alignment.

How does this affect Oman's AI talent strategy?

It creates visible operational demand for AI engineers, which helps Oman's 30,000 AI jobs target. Madinat Al Irfan will be the largest single operational employer of AI talent in Muscat by 2028 if delivery stays on schedule.

Oman's Madinat Al Irfan Is the Gulf's Quietest Smart City Bet, and Its Phase Three Design Finally Shows the AI Layer

Oman has never made as much noise about smart cities as Saudi Arabia or the UAE, but Madinat Al Irfan in Muscat is quietly becoming the most practically-scoped smart city project in the Gulf. The Phase 3 Business Park design, confirmed in recent Omran filings, shows that Oman's AI layer for urban infrastructure is finally coming into view, and its approach is different enough from NEOM's or Masdar's to be worth serious attention.

Why Oman's approach stands apart

Saudi Arabia's NEOM and the UAE's Masdar are built on the premise of creating entirely new urban environments from the ground up, with AI and automation embedded at every layer. Madinat Al Irfan is building a new downtown within an existing city, Muscat, under tighter budget discipline. The AI and smart city layer has to integrate with existing infrastructure, respect existing planning law, and deliver measurable improvements to lived experience in a working capital city.

That operational reality is why Madinat Al Irfan's model is easier to copy than NEOM's. It is also why Oman's smart city playbook is being studied by regional planners who do not have the sovereign budget to build entirely new cities. Omantel, which recently opened Oman's first sovereign AI cloud zone in Muscat, is positioned to provide much of the AI infrastructure for Madinat Al Irfan's operational systems.

By The Numbers

7.4 million Madinat Al Irfan spans over 7.4 million square metres as Oman's largest mixed-use urban development project.
49% Residential components will account for 49% of the development, with commercial at 27%, retail at 4%, hospitality at 3%, and government and civic facilities at 17%.
30 Omran plans to execute Madinat Al Irfan across five to six phases over a 30-year timeframe.
3 Phase 3 of the Business Park covers a total built-up area of 104,825 square metres on a 32,810 square metre plot, with three 40-metre office buildings of eight floors each.
40 The master plan sets a 40-year horizon with emphasis on sustainability, green spaces, energy-efficient buildings, and circular economy principles.
2040, Oman Vision 2040, under which Madinat Al Irfan sits, targets AI integration across urban infrastructure, public services, and economic diversification.

Oman's Madinat Al Irfan Is the Gulf's Quietest Smart City Bet, and Its Phase Three Design Finally Shows the AI Layer

What the AI layer actually covers

The AI layer spans four operational domains. First, energy optimisation across buildings, using real-time demand forecasting tied into the Oman electricity grid.

Second, traffic and mobility management, integrating the district's internal transport with Muscat's wider road network. Third, water and waste management, using IoT sensor networks feeding AI models for leak detection and optimal collection scheduling. Fourth, public-facing citizen services delivered through Arabic-first conversational AI, building on Oman eGovernment platforms.

Each of these is unremarkable individually. Together, they amount to one of the most complete operational smart city AI stacks in the region, delivered at a budget roughly one-tenth of NEOM's equivalent programme.

Madinat Al Irfan is designed around what you can measure, not what you can demonstrate. Our AI layer exists to reduce operating costs and improve service delivery, not to win awards.
Omran senior programme director, speaking at the Oman Smart Cities Forum

The commercial real estate implications

The Phase 3 Business Park is the critical commercial test. Three 40-metre office buildings, with AI-enabled energy optimisation and building management, put Madinat Al Irfan in direct comparison with Dubai Internet City and KAFD in Riyadh. The key question is whether Oman's cost discipline translates into occupancy rates that justify the investment.

Early signals are positive. The first two phases have achieved occupancy above 80%, and pre-letting on Phase 3 has already started with tenants from financial services, technology, and professional services. For enterprises, the attraction is a combination of Muscat's regulatory simplicity, the new sovereign AI cloud zone in the same city, and the AI-enabled operational efficiency of the buildings themselves.

Smart City	Country	Approach	Scale
Madinat Al Irfan	Oman	New district in existing city	7.4M sqm
NEOM	Saudi Arabia	New city from scratch	26,500 sqkm region
Masdar City	UAE	Sustainability-focused new district	~7 sqkm
Qiddiya	Saudi Arabia	Entertainment-focused new city	334 sqkm
Hub71 Smart District	UAE	AI-focused district	Embedded in Abu Dhabi

How this fits Oman's broader AI story

Oman's AI strategy has always been the GCC's most pragmatic. The country does not have the sovereign budget of Saudi Arabia or the UAE, so it chooses to compete on specific capabilities where it can be credible at sensible cost. Our earlier piece on Oman's 30,000 AI jobs plan describes the workforce side. The infrastructure side runs through Omantel's sovereign cloud, covered in Omantel's Muscat cloud zone.

Madinat Al Irfan sits at the intersection of both. It is the physical venue where Oman's AI workforce and AI infrastructure come together with operational demand. If Phase 3 lands well, expect Omantel to announce tighter integration with Madinat Al Irfan operations during the second half of 2026.

Oman's smart city play is less visible than NEOM's, but the per-unit economics are materially better. That is the lesson regional planners will take away.
Gulf real estate analyst, at the Muscat Smart Infrastructure Summit

The risks Oman still has to manage

The biggest execution risk is AI talent in Muscat. Oman has a smaller AI engineering pool than the UAE or Saudi Arabia, and running operational AI systems at Madinat Al Irfan scale requires sustained engineering capacity. Omantel is investing, but retention against Gulf competitors will be a constant pressure.

The second risk is integration with Muscat's existing infrastructure. Building a smart district within a working capital city means constant alignment with municipal, utility, and transport authorities. Any friction slows delivery and raises cost. The first two phases cleared this bar, but Phase 3's larger operational footprint will be a tougher test.

For comparison on how other Gulf smart city projects are approaching the same challenges, see our coverage of Abu Dhabi's Hub71 Smart District, NEOM's Oxagon edge AI, and Casablanca's AI traffic programme.

The AI in Arabia View: Madinat Al Irfan is the Gulf's most copyable smart city model, and its Phase 3 AI layer is finally making it visible. Oman's decision to build within an existing city at disciplined cost, rather than greenfield at hyperscale, produces a template that Jordan, Bahrain, and Morocco can actually implement. The AI layer's focus on operational outcomes, energy optimisation, traffic, water management, and citizen services, rather than demonstration-grade features, is what makes it financially sustainable. For Gulf enterprises looking for a regional office location with genuinely integrated AI infrastructure, Muscat is now a credible alternative to Dubai and Riyadh. The deeper implication is that the Gulf's smart city conversation is bifurcating. NEOM and Qiddiya define the upper end. Madinat Al Irfan and Hub71 define the operational end. Both work, but the operational end scales into more cities, and that is why Muscat's model will be the one most widely adopted through the rest of the decade.