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Central Bank Governor Highlights Limited Competition In Cyprus’s Banking Sector

“Competition in the banking sector is limited, resembling an oligopoly more than perfect competition,” says Christos Patsalides, the Governor of the Central Bank of Cyprus. He noted that current legislation restricts the CBC from supervising interest rates or bank charges.

Challenges Unique To Cyprus

Governor Patsalides cited that the small size of Cyprus’s economy often causes delays in interest rate adjustments. “Unlike in Europe’s major economies, our prices move slower,” he remarked to Parliament on February 27.

Lending rates in Cyprus are notably higher compared to other Eurozone countries, attributed to this limited competition. However, new loans are increasing yearly, reaching a substantial €4.5 billion in 2024.

Liquidity And Lending Restrictions

Patsalides pointed out that Cyprus banks flaunt the highest surplus liquidity in the Eurozone, a significant improvement from the liquidity deficit observed during the 2013 crisis. However, stringent lending restrictions by the ECB mean loans require clear proof of repayment capability.

Looking Forward

Patsalides referenced a recent Central Bank circular that nudges banks to consider their operating environment when setting their pricing policies, reminding them to factor in reputational risks.

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

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?

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