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Saudi Arabia’s AI Surge: Leading The Charge In Women’s Empowerment And Job Growth

Saudi Arabia has cemented its position as a rising powerhouse in artificial intelligence, securing the top global ranking for women’s empowerment in AI, according to Stanford University’s AI Index Report 2025. The Kingdom is also making waves in AI job growth, talent attraction, and cutting-edge model development—key indicators of its broader push to dominate the global AI landscape.

AI Talent And Job Growth: A Strategic Push

Saudi Arabia’s aggressive investment in AI is paying off. The Kingdom now ranks third worldwide in AI job growth for 2024 and fourth in developing leading AI models. It stands alongside the United States, China, France, Canada, and South Korea as one of only seven nations producing advanced AI models—an impressive feat for a country rapidly scaling its digital economy.

A Rising AI Hub: Attracting Global Talent

Ranked eighth globally in AI talent attraction, Saudi Arabia is becoming a magnet for top-tier professionals. Strategic initiatives, a robust research ecosystem, and a business-friendly regulatory framework make the Kingdom an increasingly attractive destination for AI experts seeking opportunities in a fast-growing market.

Women At The Forefront Of AI

Perhaps the most striking achievement is Saudi Arabia’s global leadership in empowering women in AI, with the highest female-to-male ratio in the sector. This milestone is the result of targeted national policies that foster inclusion, skills development, and leadership opportunities for women in technology. Programs like “Elevate,” a partnership with Google Cloud designed to train over 25,000 women in AI and tech, are shaping a new generation of female AI leaders. Additional initiatives, including specialized training camps and capacity-building programs, are reinforcing the Kingdom’s commitment to gender diversity in STEM fields.

Saudi Arabia’s AI Vision: Scaling To Global Leadership

At the heart of Saudi Arabia’s AI dominance is the Saudi Data and Artificial Intelligence Authority (SDAIA), which is spearheading national efforts to drive AI adoption. SDAIA’s strategy focuses on enhancing digital infrastructure, developing policy frameworks, and accelerating AI investment to position Saudi Arabia as a global leader in artificial intelligence. These moves align seamlessly with the ambitious goals of Vision 2030, which aims to transform the Kingdom into a knowledge-driven economy powered by innovation.

As Saudi Arabia continues its AI expansion, the message is clear: the Kingdom is not just participating in the AI revolution—it’s setting the pace.

Cyprus Residential Market Surpasses €2.5 Billion In 2025 With Apartments Leading the Way

Market Overview

In 2025, Cyprus’ newly built residential property market achieved a remarkable milestone, exceeding €2.5 billion. Data from Landbank Analytics indicates robust activity countrywide, with newly filed contracts reaching 7,819, including off-plan developments. This solid performance underscores the market’s resilience and dynamism across all districts.

Transaction Breakdown

The apartment sector clearly dominated the market, constituting 81.6% of transactions with 6,382 deals valued at €1.77 billion. In contrast, house sales represented a smaller segment, encompassing 1,437 transactions and generating €737.9 million. The record-high transaction was noted in Limassol, where an apartment sold for approximately €15.2 million, while the priciest house fetched roughly €6.2 million.

Regional Analysis

Nicosia: The capital recorded steady domestic demand with 2,171 new residential transactions. Apartments accounted for 1,836 deals generating €349.6 million, compared to 335 house transactions worth €105.5 million, anchoring Nicosia as a core market with average values of €190,000 for apartments and €315,000 for houses.

Limassol: As the island’s principal investment center, Limassol led overall activity with 2,207 transactions. Apartments dominated with 1,936 sales generating €824.1 million, while 271 house transactions added €157.9 million. The district enjoyed premium pricing, with apartments averaging over €425,000 and houses around €583,000.

Larnaca: This district maintained robust activity with a total of 2,020 transactions. The apartment segment realized 1,770 transactions worth €353 million, and houses contributed 250 deals valued at €96.3 million. Average prices hovered near €200,000 for apartments and €385,000 for houses, positioning Larnaca within the mid-market bracket.

Paphos: With a more balanced mix, Paphos completed 1,078 transactions. Ranking second in overall value at €503.2 million, the district saw house sales generate €287.8 million and apartments €215.4 million. Consequently, Paphos achieved the highest average house price at approximately €710,000 and an apartment average of €320,000, emphasizing its premium housing profile.

Famagusta: Distinguished by lower transaction volumes, Famagusta was the sole district where house sales outnumbered apartment deals. Out of 343 transactions, 176 involved houses (yielding €90.4 million) and 167 were apartments (at €32.4 million). The segment’s average prices were about €194,000 for apartments and over €513,000 for houses, signaling its focus on holiday residences and coastal developments.

Sector Insights and Forward View

Commenting on the report, Landbank Group CEO Andreas Christophorides remarked that the analysis demonstrates an ecosystem where apartments are the cornerstone of the real estate market. He emphasized, “The apartment sector is not merely a trend; it is the engine powering the country’s real estate market.” Christophorides also highlighted the diverse regional dynamics: Limassol leads in apartment pricing, Paphos commands premium house prices, Nicosia remains pivotal to domestic demand, Larnaca sustains competitive activity, and Famagusta caters to holiday home buyers.

In a market characterized by these varied profiles, informed monitoring of regional and sector-specific dynamics is crucial for investors aiming to make targeted and strategic decisions.

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