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CySEC: Collective Investments Surge Over 10% In Q4 2024

The Cyprus Securities and Exchange Commission (CySEC) reported a robust performance in the country’s collective investments sector for Q4 2024, with total Assets Under Management (AUM) reaching €10.1 billion — a quarterly increase of 10.21% and an annual rise of 17.66%.

Despite a 2.13% year-on-year decline in the number of Management Companies and Undertakings of Collective Investments (UCIs) — down to 321 from 328 — the sector saw strong capital inflows and asset growth. The 321 regulated entities comprise 220 Externally Managed UCIs, 32 Internally Managed UCIs, and 69 External Fund Managers.

A Breakdown Of The Industry Structure

  • Management Companies: 45 AIFMs, 48 Sub-threshold AIFMs, 3 UCITS Management Companies, and 5 dual-licensed entities (AIFM & UCITS).
  • NAV: UCIs managed by these entities reported a Net Asset Value (NAV) of €9.6 billion.

Asset Distribution

  • 60% of AUM is managed by AIFMs
  • 18% by dual-licensed AIFMs & UCITS managers
  • 11% by Sub-threshold AIFMs
  • 10% by UCITS Management Companies
  • 1% by foreign-managed UCIs

UCITS allocations leaned heavily toward transferable securities (87.6%), with smaller proportions in other UCIs (9.2%) and bank deposits (2.0%). AIFs, AIFLNPs, and RAIFs favored Private Equity (30.4%), Real Estate (14.7%), Funds of Funds (13.9%), and Hedge Funds (10.6%).

Local Footprint and Investment Trends: Of the 227 UCIs currently active, 201 are domiciled in Cyprus, collectively managing 75% of the total AUM. A notable €2.9 billion — 28.63% of the total — is invested partially or fully in Cyprus, with 65.2% of that focused on Private Equity and 13.5% in Real Estate.

Investor Composition

  • UCITS: 99.1% retail investors
  • AIFs, AIFLNPs, RAIFs: 64% well-informed investors, 23.9% professional, 12.1% retail

Sector Allocations (Q4 2024)

  • Shipping: €709.2 million (7.04% of total AUM)
  • Energy: €496.3 million (4.93%)
  • Fintech: €258.1 million (2.56%)
  • Sustainable Investments: €86.4 million (0.86%)

CySEC’s latest data reflects steady growth in Cyprus as a fund management hub, driven by investor confidence and diversification across asset classes 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.

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