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Cyprus Trade Deficit Drops By 3.97% In 2024

Cyprus’s trade deficit has seen a modest reduction of 3.97% in 2024, dropping from €8,470.4 million in January–December 2023 to €8,134.3 million in the same period of 2024, according to provisional data from Cystat

Key Highlights:

  • Imports: Total imports for 2024 were €12,256.1 million, down by 7% from 2023 (€13,179.8 million).
  • Exports: Exports fell by 12.5% to €4,121.8 million, compared to €4,709.4 million in 2023.

December 2024 Snapshot

  • Imports in December surged to €1,314.3 million, a significant increase of 37.8% from December 2023 (€954.1 million).
    • Imports from the EU: €662.7 million
    • Imports from third countries: €651.6 million
  • Exports in December totaled €359 million, down by 8.5% from December 2023 (€392.4 million).
    • Exports to the EU: €88 million
    • Exports to third countries: €271 million

Noteworthy: December imports included a significant €372.5 million from vessel and aircraft ownership transfers—up dramatically from just €4.8 million in December 2023.

November 2024 Recap

  • Imports in November increased by 3.7%, reaching €1,139.6 million (compared to €1,098.6 million in November 2023).
  • Domestic exports grew by 7.7%, totaling €244.1 million.
    • Industrial product exports were up to €236.5 million from €218.2 million in November 2023.
    • Agricultural exports remained steady at €6.5 million.

However, exports of foreign products plummeted by 74.2%, from €519.2 million in November 2023 to just €134.1 million in November 2024.

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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