Breaking news

Cyprus Investment Firms Post 7.5% Growth In Assets Under Management In Q3 2025

Overview Of Q3 2025 Performance

Cyprus investment firms and collective investment schemes reported a 7.5% increase in assets under management (AUM) in the third quarter of 2025, reaching €11.4 billion, according to data from the Cyprus Securities and Exchange Commission (CySEC). The quarter reflected changes in both asset allocation and the structure of regulated entities.

Refined Structure Of Regulated Entities

The number of supervised entities declined to 312 in Q3 2025 from 323 a year earlier. These included 217 externally managed collective investment schemes, 29 internally managed schemes, and 66 managed by external managers. The management company segment consisted of 46 standard management companies, 44 below-threshold firms, two OSEKA management companies, and three entities holding dual licenses.

Asset Allocation And Investment Diversification

The comprehensive AUM now stands at €11.4 billion, while the net asset value is reported at €10.1 billion. A detailed breakdown reveals that 63% of the AUM is attributed to standard funds, 17% is shared between below-threshold funds and OSEKA management companies, 10% to OSEKA managers exclusively, 9% to below-threshold funds, and 1% to collectively supervised entities managed by non-Cypriot firms.

Investment Categories And Sectoral Trends

Within OSEKA schemes, 85.8% of assets were invested in marketable securities, 10.9% in fund shares, and 3.2% in bank deposits. Across alternative investment vehicles, including private equity and real estate funds, allocations included 30.7% in private equity, 17% in real estate, 14.5% in hedge funds, and 9.7% in collective investment fund shares. The remaining category classified as “Other” accounted for 28.1% of allocations, including equity, fixed income, and cash holdings.

Domestic Versus International Exposure

Cyprus-domiciled funds represented 69.7% of total AUM through 205 local entities. Of 230 active schemes, 165 maintained full or partial investments in Cyprus totaling €2.8 billion, equivalent to 24.8% of total AUM. Private equity accounted for 71.1% of domestic investments, while real estate represented 12.8%.

Investor Demographics And Their Strategic Implications

OSEKA schemes were primarily supported by individual investors, who represented 99.2% of participants, totaling 8,727 investors. In alternative investment funds, 64.7% of investors were categorized as well-informed, 26% as professional investors, and 9.4% as private investors.

Sectoral Investment Highlights

Analyzing industry-specific allocations for Q3 2025 demonstrates targeted investments: energy assets reached €471.6 million, maritime investments stood at €581.8 million, fintech allocations totaled €106.9 million, and sustainable investment funds captured €97.9 million. These figures reflect a strategically diversified approach in response to evolving market dynamics.

CySEC data for Q3 2025 reflects continued growth in assets under management alongside ongoing diversification across investment categories and sectors.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

Uol
eCredo
The Future Forbes Realty Global Properties
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter