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Athens And Nicosia Still Offer Some Of Europe’s Most Affordable Apartments, Despite Rising Prices

Housing costs in Nicosia remain well below those in most western European capitals, according to new data from Global Property Guide, highlighting the wide gap in residential property prices across Europe.

Nicosia And Athens Remain Among Europe’s More Affordable Capitals

The latest figures from Global Property Guide, which tracks residential property markets across 88 countries, show that both Nicosia and Athens remain among Europe’s more affordable capital cities, despite years of steady price growth.

In Cyprus, the median asking price for a one-bedroom apartment in Nicosia stands at €145,000. Two-bedroom apartments are priced at €205,000, while three-bedroom homes reach €280,000.

That places Nicosia slightly above Athens in the one-bedroom category, where the Greek capital records a median asking price of €135,000. For two-bedroom and three-bedroom apartments, however, prices are identical in both cities at €205,000 and €280,000, respectively.

Western Europe Commands A Premium

Athens also remains relatively affordable by European standards. Median asking prices for one-bedroom apartments reach €174,000 in Warsaw, €240,000 in Madrid, €310,000 in Milan and €325,000 in Berlin.

The gap is even more pronounced in Western Europe, where one-bedroom apartments cost around €440,000 in both Paris and Lisbon, more than three times the price seen in Athens.

The difference becomes even greater for larger homes. A three-bedroom apartment carries a median asking price of €280,000 in both Athens and Nicosia, compared with €685,000 in Lisbon, €690,000 in Milan, €845,000 in Berlin and €1.08 million in Paris.

For two-bedroom apartments, the contrast is equally striking. While homes are priced at €205,000 in Athens and Nicosia, equivalent properties cost €380,000 in Madrid, €455,000 in Milan, €527,000 in Berlin, €620,000 in Lisbon and €695,000 in Paris.

Europe’s Most Expensive Property Markets

Global Property Guide’s data also highlights the wide variation in residential property prices across Europe.

Zurich is the continent’s most expensive market for a one-bedroom apartment, with a median asking price of €1.151 million. It is followed by Luxembourg (€669,000), Copenhagen (€601,000), Munich (€548,000) and London (€522,000), while Paris and Lisbon are both priced at around €440,000.

The Most Affordable Cities

At the other end of the market, the lowest asking prices are concentrated in south-eastern and eastern Europe. Median asking prices for a one-bedroom apartment stand at €125,000 in Riga, €118,000 in Podgorica, €110,000 in Bucharest, €103,000 in Sarajevo and €79,000 in Chisinau.

According to the report, Skopje is Europe’s most affordable capital for one-bedroom apartments, with a median asking price of just €55,000.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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