Breaking news

CySEC’s 2025 Supervisory Priorities: AI, Fin-fluencers, And Compliance Mandates

by THEFUTURE.TEAM
February 13, 2025

The Cyprus Securities and Exchange Commission (CySEC) has outlined its supervisory priorities for 2025, focusing on emerging regulatory challenges and the evolving financial landscape. Key areas of attention will include artificial intelligence (AI), financial influencers (fin-fluencers), and compliance within fund management operations.

Focus On AI And Fin-fluencers

CySEC aims to adapt to the growing impact of AI on financial markets, as well as the influence of online financial promoters (fin-fluencers). With an increase in supervised entities, now at 834, the regulator is setting stricter compliance expectations for firms. Dr. George Theocharides, CySEC Chairman, emphasized that the supervisory priorities will guide regulated entities to enhance governance, and risk management, and address emerging market risks such as AI adoption and online financial promotions.

Digital Operational Resilience And MiCA

A major part of the 2025 agenda is the implementation of the Digital Operational Resilience Act (DORA) and the Markets in Crypto-Assets Regulation (MiCA). These regulations aim to strengthen investor protection and ensure market stability. Firms will be required to review their policies, revise internal governance structures, and improve risk management frameworks to comply with these new requirements.

ESG And Technology Investment

ESG compliance remains a critical priority for CySEC in 2025. Firms will need to establish robust sustainability practices and improve reporting and disclosure standards. Additionally, investment in technology will be essential to enhance ICT risk management and ensure operational resilience. CySEC plans to issue circulars and technical documentation to clarify expectations for DORA and MiCA adherence.

Stakeholder Engagement And Interim Reviews

To assist firms in meeting these expectations, CySEC will host workshops and webinars to engage directly with stakeholders. These events will provide practical guidance for compliance and foster a culture of proactive regulation. Interim reviews will also be conducted to assess firms’ progress and provide feedback for continued compliance.

Conclusion

CySEC’s 2025 supervisory agenda reflects its commitment to maintaining market integrity, safeguarding investors, and ensuring that firms can successfully navigate the evolving regulatory landscape. By focusing on AI, fin-fluencers, and sustainable growth, CySEC aims to build a more resilient and transparent financial sector in Cyprus.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM
March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter