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Cyprus Banks Set To Ease Lending Criteria Amid Rising Credit Demand

by News Editor
March 7, 2025

The financial landscape in Cyprus is witnessing a pivotal shift as banks gear up to relax lending criteria for the first time since the global financial crisis of 2009. According to a Central Bank survey, there is an anticipated surge in credit demand as lending terms become more accommodating.

An Economic Revival?

With the service sector showing booming growth in 2024, the January 2025 Bank Lending Survey points towards a more lax approach in borrower assessments. This marks a significant change from the previously stringent conditions that have persisted since 2017 for household loans and even earlier for business loans.

The fourth quarter of 2024 observed a decline in interest rates and reduced bank margins across various loan types. This trend aligns with banks’ perceptions of diminished risk within the economy, leading to competitive lending strategies particularly for business and mortgage loans.

Mixed Signals For Loan Applicants

Interestingly, while rejections of business loan applications fell—for both small-to-medium enterprises and large corporations—the rejection rate for household loans inched upwards, despite an overall easing of lending terms.

For past accolades in the banking sector, check out how the Bank of Cyprus was honored with JP Morgan’s Quality Recognition Award for its exceptional service.

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?

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