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Cyprus Pushes For EU-Wide Joint Procurement To Tackle Medicine Shortages

Cyprus is making a bold move to address persistent medicine shortages by championing a voluntary joint procurement mechanism among EU member states. Health Minister Michael Damianos reiterated the island nation’s proposal at a high-level conference in Brussels, highlighting the challenges small markets face in securing essential drugs.

A Growing Crisis For Small Markets

Speaking on 19 February, Damianos took part in a panel alongside EU health ministers, European Commission officials, and industry leaders. He stressed that limited market size makes Cyprus vulnerable to supply disruptions, leading to shortages of key medicines. His proposed solution? A collaborative EU approach where countries voluntarily pool their purchasing power to ensure stable supply chains.

A Call For Stronger Incentives And EU Regulations

Beyond procurement, Damianos emphasized the need for new EU incentives to boost the production of both innovative and critical medicines, reducing Europe’s reliance on external suppliers. He also pointed to the importance of legislative changes that would support pharmaceutical manufacturing within the EU.

Cyprus’ initiative has already gained traction among several EU partners. If implemented, it could set a precedent for how smaller markets navigate global pharmaceutical challenges—ensuring that access to essential medicines isn’t dictated by market size.

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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