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Cyprus Inflation Eases Slightly To 2.5% In January

by THEFUTURE.TEAM
February 7, 2025

Inflation in Cyprus stood at 2.5% in January, down marginally from 2.6% in December, according to the Cyprus Statistical Service (Cystat). The Consumer Price Index (CPI) dropped by 1.58 points to 116.73, reflecting a slowdown in price growth.

Agricultural Goods saw the most volatility, rising 10% year-on-year but declining 6.1% from December. Food and Non-Alcoholic Beverages increased by 4.8% annually, while Restaurants and Hotels rose by 4.1%. Clothing and Footwear recorded the steepest monthly drop, falling 13%.

The biggest contributors to annual inflation were Food and Non-Alcoholic Beverages (+1.07) and Transport (+0.56), while Clothing and Footwear (-0.18) exerted downward pressure. Month-on-month, Clothing and Footwear (-1.00) had the most significant deflationary effect.

Catering Services (+0.48), Fresh Vegetables (+0.36), and Meat (+0.24) were key drivers of price increases, while Clothing Items (-0.81) pulled inflation down. Petroleum Products had the largest positive monthly impact (+0.15), while Clothing Items saw the biggest decline (-0.71).

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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